From e54ff728a6be79ddab9d8a8c0a747b784f9102cf Mon Sep 17 00:00:00 2001 From: Nicholas Pease Date: Mon, 6 Oct 2025 22:34:37 -0400 Subject: [PATCH] Initial --- .gitignore | 1 + COS482 - HW1 - Pease.ipynb | 406 ++ HW1 Writeup.pdf | Bin 0 -> 143001 bytes ml_articles_info-cleaned.csv | 987 +++ ml_articles_info.csv | 987 +++ saved_data/pages_1.txt | 121 + saved_data/pages_100.txt | 12183 +++++++++++++++++++++++++++++++++ saved_data/pages_32.txt | 3894 +++++++++++ 8 files changed, 18579 insertions(+) create mode 100644 .gitignore create mode 100644 COS482 - HW1 - Pease.ipynb create mode 100644 HW1 Writeup.pdf create mode 100644 ml_articles_info-cleaned.csv create mode 100644 ml_articles_info.csv create mode 100644 saved_data/pages_1.txt create mode 100644 saved_data/pages_100.txt create mode 100644 saved_data/pages_32.txt diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..a46b130 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +/chromedriver.exe \ No newline at end of file diff --git a/COS482 - HW1 - Pease.ipynb b/COS482 - HW1 - Pease.ipynb new file mode 100644 index 0000000..321c8d4 --- /dev/null +++ b/COS482 - HW1 - Pease.ipynb @@ -0,0 +1,406 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "11a4c40a", + "metadata": {}, + "source": [ + "In this code, I went with an object oriented design in order to compartmentalize the major tasks. I wrote an Article class to handle storing the data for each parsed article, including methods for exporting this data to both dataframe formats and to parse the publicationInfo data. Additionally, I wrote a class to handle scraping all of the webpages and setting up the driver. This will result in a list of all the raw HTML files. Finally, I wrote a page parsing class, that takes that list of HTML pages and parses out the specific articles. This creates a master list of articles. Further on, this list of articles is converted to pandas dataframes using the methods defined in Article. These dataframes are used to generate the graphs and answers to the questions below." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "5361ee97", + "metadata": {}, + "outputs": [], + "source": [ + "from bs4 import BeautifulSoup\n", + "from selenium import webdriver\n", + "from selenium.common.exceptions import TimeoutException\n", + "from selenium.webdriver.chrome.service import Service\n", + "from selenium.webdriver.common.by import By\n", + "from selenium.webdriver.support.ui import WebDriverWait\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import re\n", + "import time" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d7951096", + "metadata": {}, + "outputs": [], + "source": [ + "class Article:\n", + " containerSelector = lambda soup: soup.find_all(\"div\", class_=\"gs_r gs_or gs_scl\")\n", + " titleSelector = lambda article: article.find(\"h3\", class_=\"gs_rt\").text\n", + " authorSelector = lambda article: article.find(\"div\", class_=\"gs_a\").text\n", + " citedBySelector = lambda article: article.find(\"div\", class_=\"gs_fl gs_flb\").find_all(\"a\")[2].text\n", + "\n", + " def __init__(self, title, publicationInfo, cited_by):\n", + " self.title = title\n", + " self.publicationInfo = publicationInfo\n", + " self.cited_by = int(cited_by.split(\" \")[-1])\n", + " \n", + " # Process Additional Information from publicationInfo\n", + " self.authors = self.publicationInfo.split(\"-\")[0].strip()\n", + " self.publisher = self.publicationInfo.split(\"-\")[-1].strip()\n", + " self.venue = self.publicationInfo.split(\"-\")[-2].strip().split(\",\")[0].strip()\n", + " self.year = int(re.search(r'\\b(20\\d{2})\\b',self.publicationInfo).group(1))\n", + "\n", + " # Calculate average citations per year\n", + " divisor = 2026 - self.year if self.year is not None else 1\n", + " self.averageCitations = self.cited_by / divisor\n", + "\n", + " def print(self):\n", + " print(f\"Title: {self.title}\")\n", + " print(f\"Publication Info: {self.publicationInfo}\")\n", + " print(f\"Cited by: {self.cited_by}\")\n", + " print(f\"Authors: {self.authors}\")\n", + " print(f\"Publisher: {self.publisher}\")\n", + " print(f\"Venue: {self.venue}\")\n", + " print(f\"Year: {self.year}\")\n", + " print(f\"Average Citations per Year: {self.averageCitations}\")\n", + " print()\n", + "\n", + " def to_DF1(self):\n", + " return pd.DataFrame({\n", + " 'title': [self.title],\n", + " 'publication_info': [self.publicationInfo],\n", + " 'cited_by': [f\"Cited by {self.cited_by}\"],\n", + " })\n", + " \n", + " def to_DF2(self):\n", + " return pd.DataFrame({\n", + " 'title': [self.title],\n", + " 'authors': [self.authors],\n", + " 'year': [self.year],\n", + " 'venue': [self.venue],\n", + " 'publisher': [self.publisher],\n", + " 'citation_count': [self.cited_by],\n", + " 'avg_citations_per_year': [self.averageCitations]\n", + " })" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2741c574", + "metadata": {}, + "outputs": [], + "source": [ + "class WebScraper:\n", + " def __init__(self, url):\n", + " self.url = url\n", + " self.pages = []\n", + " \n", + " # Constants\n", + " self.scroll_pause_time = 3\n", + " \n", + " # Setup Selenium Webdriver\n", + " self.service = Service(executable_path=\"./chromedriver.exe\")\n", + " self.options = webdriver.ChromeOptions()\n", + " self.options.add_argument('--ignore-certificate-errors')\n", + " self.options.add_argument('--incognito')\n", + " #self.options.add_argument('--headless')\n", + "\n", + " self.driver = webdriver.Chrome(service=self.service, options=self.options)\n", + " self.driver.get(self.url)\n", + " WebDriverWait(self.driver, 5).until(lambda s: s.find_element(By.ID, \"gs_hdr_lgo\").is_displayed())\n", + " self.screen_height = self.driver.execute_script(\"return window.screen.height;\")\n", + "\n", + " def close(self):\n", + " self.driver.close()\n", + "\n", + " def get_page(self):\n", + " i = 0\n", + " scroll_height = self.driver.execute_script(\"return document.body.scrollHeight;\")\n", + " while (self.screen_height*i < scroll_height) and (i <= 20):\n", + " self.driver.execute_script(f\"window.scrollTo(0, {self.screen_height}*{i});\")\n", + " i += 1\n", + " time.sleep(self.scroll_pause_time)\n", + " scroll_height = self.driver.execute_script(\"return document.body.scrollHeight;\")\n", + " self.pages.append(self.driver.page_source)\n", + " \n", + " def get_all_pages(self):\n", + " self.get_page()\n", + " while True:\n", + " try:\n", + " next_button = WebDriverWait(self.driver, 5).until(\n", + " lambda s: s.find_element(By.LINK_TEXT, \"Next\"))\n", + " next_button.click()\n", + " try:\n", + " WebDriverWait(self.driver, 5).until(\n", + " lambda s: s.find_element(By.ID, \"gs_bdy_sb_in\").is_displayed())\n", + " except TimeoutException:\n", + " print(\"Captcha detected. Please solve it and press Enter to continue...\")\n", + " input()\n", + " self.get_page()\n", + " except TimeoutException:\n", + " print(\"No more pages\")\n", + " break\n", + " self.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "337270af", + "metadata": {}, + "outputs": [], + "source": [ + "class PageParser:\n", + " def __init__(self, pages):\n", + " self.pages = pages\n", + " self.articles = []\n", + " \n", + " def parse(self, page):\n", + " soup = BeautifulSoup(page, \"lxml\")\n", + " page_articles = Article.containerSelector(soup)\n", + " for article in page_articles:\n", + " title = Article.titleSelector(article)\n", + " authors = Article.authorSelector(article)\n", + " cited_by = Article.citedBySelector(article)\n", + " self.articles.append(Article(title, authors, cited_by))\n", + " \n", + " def parse_all(self):\n", + " for page in self.pages:\n", + " self.parse(page)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "26f279bc", + "metadata": {}, + "outputs": [], + "source": [ + "# Start Here - Execution\n", + "url = \"https://scholar.google.com/scholar?start=0&q=machine+learning&hl=en&as_sdt=0,20&as_ylo=2023\"\n", + "\n", + "# Task 1\n", + "# Scrape the pages\n", + "scraper = WebScraper(url)\n", + "scraper.get_all_pages()\n", + "pages = scraper.pages\n", + "scraper.close()\n", + "\n", + "# Sideloader - Load previously scraped pages\n", + "# with open('pages_100.txt', 'r', encoding='utf-8') as file:\n", + "# pages = file.read().split('================================================================================')\n", + "\n", + "# Parse the pages\n", + "parser = PageParser(pages)\n", + "parser.parse_all()\n", + "articles = parser.articles\n", + "\n", + "# Generate first DataFrame and save to CSV (Task 1)\n", + "df1 = pd.concat([article.to_DF1() for article in articles], ignore_index=True)\n", + "df1.to_csv('ml_articles_info.csv', index=False)\n", + "\n", + "# Generate second DataFrame and save to CSV (Task 2, A)\n", + "df2 = pd.concat([article.to_DF2() for article in articles], ignore_index=True)\n", + "df2.to_csv('ml_articles_info-cleaned.csv', index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "78060bd7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Articles from 2024 or later with over 100 citations:\n", + "88\n" + ] + } + ], + "source": [ + "# Task 2, Question (b)\n", + "filtered_df = df2[\n", + " (df2['year'] >= 2024) & \n", + " (df2['citation_count'] > 100)\n", + "]\n", + "\n", + "print(\"Articles from 2024 or later with over 100 citations:\")\n", + "print(len(filtered_df))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "57ea2834", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Task 2, Question (c)\n", + "plt.figure(figsize=(8, 6))\n", + "plt.scatter(df2['citation_count'], df2['avg_citations_per_year'], alpha=0.7)\n", + "plt.xlabel('Total Citation Count')\n", + "plt.ylabel('Average Citations per Year')\n", + "plt.title('Citation Count vs. Average Citations per Year')\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "d73203e9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Task 2, Question (d)\n", + "plt.figure(figsize=(8, 6))\n", + "plt.hist(df2['avg_citations_per_year'], bins=30, color='skyblue', edgecolor='black')\n", + "plt.xlabel('Average Citations per Year')\n", + "plt.ylabel('Number of Articles')\n", + "plt.title('Distribution of Average Citations per Year')\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "c3d8038d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of articles published in each year since 2023:\n", + "year\n", + "2023 591\n", + "2024 364\n", + "2025 31\n", + "Name: count, dtype: int64\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Task 2, Question (e)\n", + "# Count number of articles published in each year since 2023\n", + "year_counts = df2[df2['year'] >= 2023]['year'].value_counts().sort_index()\n", + "print(\"Number of articles published in each year since 2023:\")\n", + "print(year_counts)\n", + "\n", + "# Bar plot\n", + "plt.figure(figsize=(8, 6))\n", + "year_counts.plot(kind='bar', color='coral', edgecolor='black')\n", + "plt.xlabel('Year')\n", + "plt.ylabel('Number of Articles')\n", + "plt.title('Articles Published per Year (2023 and later)')\n", + "plt.xticks(rotation=0)\n", + "plt.grid(axis='y')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "343d57d2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean citation count for each publication year:\n", + "year\n", + "2023 130.954315\n", + "2024 79.027473\n", + "2025 80.354839\n", + "Name: citation_count, dtype: float64\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Task 2, Question (f)\n", + "mean_citations_per_year = df2.groupby('year')['citation_count'].mean()\n", + "print(\"Mean citation count for each publication year:\")\n", + "print(mean_citations_per_year)\n", + "\n", + "# Bar plot\n", + "plt.figure(figsize=(8, 6))\n", + "mean_citations_per_year.plot(kind='bar', color='mediumseagreen', edgecolor='black')\n", + "plt.xlabel('Publication Year')\n", + "plt.ylabel('Mean Citation Count')\n", + "plt.title('Mean Citation Count per Publication Year')\n", + "plt.xticks(rotation=0)\n", + "plt.grid(axis='y')\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": 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[HTML] nih.gov

Machine learning for microbiologists

F Asnicar, AM Thomas, A Passerini… - Nature Reviews …, 2024 - nature.com
… how to evaluate a machine learning model and how … machine learning-based work. The
+topics presented in this work will allow microbiologists to grasp the potential of machine learning …
Save Cite Cited by 182 Related articles All 7 versions
[HTML] sciencedirect.com

[HTML][HTML] Scope of machine learning in materials research—A review

MH Mobarak, MA Mimona, MA Islam, N Hossain… - Applied Surface Science …, 2023 - Elsevier
This comprehensive review investigates the multifaceted applications of machine learning in
+materials research across six key dimensions, redefining the field's boundaries. It explains …
Save Cite Cited by 142 Related articles All 2 versions
[PDF] ssrn.com

Machine learning and deep learning: A review of methods and applications

K Sharifani, M Amini - World Information Technology and …, 2023 - papers.ssrn.com
… machine learning and deep learning, their differences, applications, and their impact on various
+industries. Machine learning and deep learning … of machine learning and deep learning, …
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[PDF] nsf.gov

[PDF][PDF] International conference on machine learning

W Li, C Wang, G Cheng, Q Song - Transactions on machine learning …, 2023 - par.nsf.gov
In this paper, we make the key delineation on the roles of resolution and statistical uncertainty
+in hierarchical bandits-based black-box optimization algorithms, guiding a more general …
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[HTML] sciencedirect.com

[HTML][HTML] A survey on dataset quality in machine learning

Y Gong, G Liu, Y Xue, R Li, L Meng - Information and Software Technology, 2023 - Elsevier
… of dataset quality in machine learning, including the definition of … of machine learning,
+which can help improve the accuracy, efficiency, and generalization ability of machine learning …
Save Cite Cited by 244 Related articles All 2 versions
[PDF] nowpublishers.com

Financial machine learning

B Kelly, D Xiu - Foundations and Trends® in Finance, 2023 - nowpublishers.com
… We survey the nascent literature on machine learning in the study of financial markets. We …
+This survey is designed for both financial economists interested in grasping machine learning …
Save Cite Cited by 162 Related articles All 12 versions Library Search View as HTML
[HTML] sciencedirect.com

[HTML][HTML] Applications of machine learning to water resources management: A review of present status and future opportunities

AA Ahmed, S Sayed, A Abdoulhalik, S Moutari… - Journal of Cleaner …, 2024 - Elsevier
… decades, machine learning tools have … on machine learning applications in water-related
+fields, this review paper presents for the first time a comprehensive review of machine learning …
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Financial applications of machine learning: A literature review

N Nazareth, YVR Reddy - Expert Systems with Applications, 2023 - Elsevier
… of machine learning and deep learning in … on machine learning in finance. The study finally
+points out possible research directions which might lead to new inquiries in machine learning …
Save Cite Cited by 234 Related articles All 2 versions
[HTML] sciencedirect.com

[HTML][HTML] Machine learning and artificial intelligence in CNC machine tools, a review

M Soori, B Arezoo, R Dastres - Sustainable Manufacturing and Service …, 2023 - Elsevier
… is applied to prediction techniques of energy consumption of CNC machine tools. In this
+paper, applications of machine learning and artificial intelligence systems in CNC machine tools …
Save Cite Cited by 204 Related articles All 3 versions

[BOOK][B] Probabilistic machine learning: Advanced topics

KP Murphy - 2023 - books.google.com
… working in machine learning and statistics who want to learn about deep learning, Bayesian
+… An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level …
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+================================================================================ +machine learning - Google Scholar
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[PDF] springer.com

Human-in-the-loop machine learning: a state of the art

E Mosqueira-Rey, E Hernández-Pereira… - Artificial Intelligence …, 2023 - Springer
… Researchers are defining new types of interactions between humans and machine learning
+… machine learning (HITL-ML) (Munro 2020). The idea is not only to make machine learning …
Save Cite Cited by 865 Related articles All 9 versions

Machine learning for battery systems applications: Progress, challenges, and opportunities

Z Nozarijouybari, HK Fathy - Journal of Power Sources, 2024 - Elsevier
… Machine learning has emerged as a transformative force … Machine learning excels in its
+ability to identify and capture … rich existing literature on battery machine learning into a structured …
Save Cite Cited by 77 Related articles All 2 versions
[DOC] cam.ac.uk

Machine learning for nanoplasmonics

JF Masson, JS Biggins, E Ringe - Nature Nanotechnology, 2023 - nature.com
… These complex datasets and trial-and-error practices make nanoplasmonics research ripe
+for the application of machine learning (ML) and advanced data processing methods. ML …
Save Cite Cited by 106 Related articles All 6 versions
[PDF] ieee.org

Machine learning operations (mlops): Overview, definition, and architecture

D Kreuzberger, N Kühl, S Hirschl - IEEE access, 2023 - ieeexplore.ieee.org
… ABSTRACT The final goal of all industrial machine learning (ML) projects is to develop
+ML … The paradigm of Machine Learning Operations (MLOps) addresses this issue. MLOps …
Save Cite Cited by 775 Related articles All 12 versions
[PDF] ssrn.com

Agricultural databases evaluation with machine learning procedure

M Amini, A Rahmani - … Journal of Engineering and Applied Science, 2023 - papers.ssrn.com
… machine learning techniques to agricultural databases. W e have designed and implemented
+a machine learning … dataset using a variety of machine learning schemes, and has several …
Save Cite Cited by 158 Related articles View as HTML
[PDF] nature.com

Small data machine learning in materials science

P Xu, X Ji, M Li, W Lu - npj Computational Materials, 2023 - nature.com
… Then, the workflow of materials machine learning has been introduced. Next, the … learning
+from the algorithm level; active learning and transfer learning from the machine learning …
Save Cite Cited by 459 Related articles All 5 versions
[PDF] academia.edu

[PDF][PDF] Machine learning in cybersecurity: Techniques and challenges

J Bharadiya - European Journal of Technology, 2023 - academia.edu
… , and security concerns with machine learning techniques themselves are all covered in this
+… a machinelearning model using supervised learning algorithms. Machine learning models …
Save Cite Cited by 164 Related articles View as HTML

[BOOK][B] Mathematical analysis of machine learning algorithms

T Zhang - 2023 - books.google.com
… of achieving the capability of human decision-making by learning from past experience. It is
+an … successful machine learning algorithms, to the degree that machine learning has become …
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[PDF] ox.ac.uk

Pushing the frontiers in climate modelling and analysis with machine learning

V Eyring, WD Collins, P Gentine, EA Barnes… - Nature Climate …, 2024 - nature.com
… of machine learning beyond state-of-the-art approaches, not only by developing machine-learning-…
+Utilizing this potential requires key machine learning challenges to be addressed, in …
Save Cite Cited by 121 Related articles All 14 versions

of Machine Learning Techniques

V Sutaria, A Jain - Intelligent Strategies for ICT: Proceedings of …, 2025 - books.google.com
… For stress detection, this review describes the process, merits, and demerits of existing
+Machine Learning (ML)-centric models. The traditional models aim to provide accurate and real-…
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[HTML] mdpi.com

[HTML][HTML] Machine learning applications in agriculture: current trends, challenges, and future perspectives

SO Araujo, RS Peres, JC Ramalho, F Lidon, J Barata - Agronomy, 2023 - mdpi.com
… of Machine Learning in agriculture. The study investigates the foremost applications of
+Machine Learning, … impacts and outcomes of Machine Learning adoption and highlights some …
Save Cite Cited by 179 Related articles All 10 versions Cached
[PDF] google.com

Machine learning in environmental research: common pitfalls and best practices

JJ Zhu, M Yang, ZJ Ren - Environmental Science & Technology, 2023 - ACS Publications
… Machine learning (ML) is increasingly used in environmental research to process large data
+… By analyzing good examples on supervised learning and reference modeling paradigms, …
Save Cite Cited by 386 Related articles All 6 versions
[PDF] nih.gov

OpenMM 8: molecular dynamics simulation with machine learning potentials

P Eastman, R Galvelis, RP Peláez… - The Journal of …, 2023 - ACS Publications
Machine learning plays an important and growing role in … support the use of machine learning
+potentials. Arbitrary PyTorch … it practical to use machine learning to improve the accuracy …
Save Cite Cited by 274 Related articles All 12 versions
[PDF] centuryscipub.com

Research on machine learning with algorithms and development

L Yu, X Zhao, J Huang, H Hu… - Journal of Theory and …, 2023 - centuryscipub.com
… This study provides a relatively systematic introduction to machine learning. Firstly, it … of
+machine learning, and then focuses on the analysis of classical algorithms in machine learning. …
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[PDF] nature.com

Machine learning for a sustainable energy future

Z Yao, Y Lum, A Johnston, LM Mejia-Mendoza… - Nature Reviews …, 2023 - nature.com
… Here we explore the extent to which machine learning (ML) techniques can help to address
+many of these challenges 8,9,10 . ML models can be used to predict specific properties of …
Save Cite Cited by 393 Related articles All 15 versions
[PDF] springer.com

A systematic review of teaching and learning machine learning in K-12 education

IT Sanusi, SS Oyelere, H Vartiainen, J Suhonen… - Education and …, 2023 - Springer
… from being a contribution to the field of machine learning education as it systematically
+synthesizes research conducted on teaching and learning machine learning at K-12 levels. The …
Save Cite Cited by 229 Related articles All 9 versions
[PDF] mdpi.com

Crop prediction model using machine learning algorithms

E Elbasi, C Zaki, AE Topcu, W Abdelbaki, AI Zreikat… - Applied Sciences, 2023 - mdpi.com
… Machine learning applications are having a great impact on … benefits of integrating machine
+learning algorithms in modern … on the current state of machine learning in agriculture, …
Save Cite Cited by 268 Related articles All 8 versions Cached

Machine learning in architecture

B Topuz, NÇ Alp - Automation in Construction, 2023 - Elsevier
This paper explores the utilisation of machine learning in architecture, focusing on the
+addressed problems and commonly employed programming languages, software, platforms, …
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AI and machine learning for real-world problems

H Nozari, J Ghahremani-Nahr, A Szmelter-Jarosz - Advances in computers, 2024 - Elsevier
… for machine learning system based on machine learning and AIoT, allows the appropriate
+machine learning … This framework places “machine learning” in the space of visual analysis, …
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[PDF] researchgate.net

[PDF][PDF] An unsupervised machine learning algorithms: Comprehensive review

S Naeem, A Ali, S Anam… - International Journal of …, 2023 - researchgate.net
… The authors analyzed 35 papers between 2018 and 2022 and found that majority focused
+on unsupervised learning techniques. This review focused on unsupervised machine learning …
Save Cite Cited by 264 Related articles All 2 versions View as HTML
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eXtreme gradient boosting algorithm with machine learning: A review

ZA Ali, ZH Abduljabbar, HA Tahir, AB Sallow… - Academic Journal of …, 2023 - cir.nii.ac.jp
… areas for machine learning. XGBoost is a recently released machine learning algorithm
+that … -supervised learning (SSL) machine learning algorithms in a Python environment.</jats:p> …
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A review of evaluation metrics in machine learning algorithms

G Naidu, T Zuva, EM Sibanda - Computer science on-line conference, 2023 - Springer
… Machine learning has gained significant acceptance in various industries [1]. Machine
+learning is a … The machine learning model studies from the data, classify general patterns and …
Save Cite Cited by 447 Related articles
[PDF] researchgate.net

A review of machine learning algorithms for biomedical applications

VA Binson, S Thomas, M Subramoniam, J Arun… - Annals of Biomedical …, 2024 - Springer
… machine learning algorithms per biomedical applications is presented. The key concepts of
+machine learning are supervised and unsupervised learning, … on the major machine learning …
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[HTML] mdpi.com

[HTML][HTML] Understanding of machine learning with deep learning: architectures, workflow, applications and future directions

MM Taye - Computers, 2023 - mdpi.com
… Using computer algorithms, machine learning enables the machine to … learning [8] is one
+of the machine learning methods that dominate in various application areas. Machine learning …
Save Cite Cited by 1000 Related articles All 6 versions Cached
[PDF] nih.gov

Machine learning methods for small data challenges in molecular science

B Dou, Z Zhu, E Merkurjev, L Ke, L Chen… - Chemical …, 2023 - ACS Publications
… more severe in machine learning (ML) and deep learning (DL) … We review both basic machine
+learning algorithms, such as … (KNN), support vector machine (SVM), kernel learning (KL), …
Save Cite Cited by 343 Related articles All 6 versions

Security Threats and Detection Mechanisms in Machine Learning

K Madhuri - Handbook of Artificial Intelligence, 2023 - books.google.com
… learning for data classification or determining the correct outcomes. Supervised learning is
+one of the types of machine learning … machine considers a supervisor in supervised learning, …
Save Cite Cited by 165 Related articles All 3 versions
[HTML] mdpi.com

[HTML][HTML] The challenges of machine learning: A critical review

E Barbierato, A Gatti - Electronics, 2024 - mdpi.com
The concept of learning has multiple interpretations, ranging from acquiring knowledge or
+skills to constructing meaning and social development. Machine Learning (ML) is considered …
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[PDF] bio-conferences.org

An overview of machine learning classification techniques

AFAH Alnuaimi, THK Albaldawi - BIO Web of Conferences, 2024 - bio-conferences.org
… statistical learning and pattern recognition, machine learning now … between statistics and
+machine learning is evident, with … core of machine learning lies the concept of self-learning, a …
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[HTML] mdpi.com

[HTML][HTML] Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms

S Tufail, H Riggs, M Tariq, AI Sarwat - Electronics, 2023 - mdpi.com
… an in-depth analysis of the current machine learning technique that is being applied to solve
+… The machine learning engineer can understand the reasoning behind all machine learning …
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[PDF] academia.edu

Predictive models for concrete properties using machine learning and deep learning approaches: A review

MM Moein, A Saradar, K Rahmati… - Journal of Building …, 2023 - Elsevier
… decades, machine learning has been used to model real-world problems. Machine learning,
+… Machine learning has many advantages over statistical and experimental models, such as …
Save Cite Cited by 395 Related articles All 3 versions
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[HTML] sciencedirect.com

[HTML][HTML] Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects

G Obaido, ID Mienye, OF Egbelowo… - Machine Learning with …, 2024 - Elsevier
… In recent years, machine learning (ML) has played a vital role in technological advancements
+and has shown promising results in various drug discovery and development stages. ML …
Save Cite Cited by 74 Related articles All 2 versions
[PDF] google.com

Promising directions of machine learning for partial differential equations

SL Brunton, JN Kutz - Nature Computational Science, 2024 - nature.com
… advanced by machine learning, including (1) discovering new governing PDEs and
+coarse-grained approximations for complex natural and engineered systems, (2) learning effective …
Save Cite Cited by 108 Related articles All 5 versions

Unsupervised machine learning methods and emerging applications in healthcare

CM Eckhardt, SJ Madjarova, RJ Williams… - Knee Surgery, Sports …, 2023 - Springer
… foundational unsupervised machine learning techniques and introduce key concepts to
+facilitate the application of unsupervised machine learning methods in health sciences research. …
Save Cite Cited by 161 Related articles All 7 versions
[PDF] researchgate.net

Impact of machine learning on management, healthcare and agriculture

H Pallathadka, M Mustafa, DT Sanchez… - Materials Today …, 2023 - Elsevier
… Machine learning and deep learning are two of the most often … Machine learning models
+for the complexity and diversity of … This article discusses machine learning and artificial …
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[HTML] annualreviews.org

[HTML][HTML] Enhanced sampling with machine learning

S Mehdi, Z Smith, L Herron, Z Zou… - Annual Review of …, 2024 - annualreviews.org
… In recent years, integration of machine learning (ML) techniques into different domains has
+… We highlight successful strategies such as dimensionality reduction, reinforcement learning, …
Save Cite Cited by 89 Related articles All 6 versions
[PDF] arxiv.org

Machine learning for the physics of climate

A Bracco, J Brajard, HA Dijkstra… - Nature Reviews …, 2025 - nature.com
… Advances in machine learning for climate physics have … Innovative approaches that use
+machine learning to learn parameterizations … The use of machine learning has enabled classical …
Save Cite Cited by 48 Related articles All 5 versions
[PDF] nature.com

Evaluation metrics and statistical tests for machine learning

O Rainio, J Teuho, R Klén - Scientific Reports, 2024 - nature.com
Research on different machine learning (ML) has become incredibly popular during the past
+few decades. However, for some researchers not familiar with statistics, it might be difficult …
Save Cite Cited by 810 Related articles All 6 versions

[BOOK][B] Ensemble methods for machine learning

G Kunapuli - 2023 - books.google.com
… machine learning who want to use this book as a learning … learning about the endless
+modeling possibilities with ensemble methods This book is not an introduction to machine learning …
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[PDF] springer.com

Evaluating machine learning models and their diagnostic value

G Varoquaux, O Colliot - Machine learning for brain disorders, 2023 - Springer
… This chapter describes model validation, a crucial part of machine learning whether it is to
+… of learning algorithms and external validation or evaluation of resulting prediction models. …
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[PDF] arxiv.org

Interpretable machine learning for science with PySR and SymbolicRegression. jl

M Cranmer - arXiv preprint arXiv:2305.01582, 2023 - arxiv.org
… PySR 3 is an open-source library for practical symbolic regression, a type of machine learning
+… backend, a flexible search algorithm, and interfaces with several deep learning packages. …
Save Cite Cited by 475 Related articles All 2 versions View as HTML
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[PDF] springer.com

The role of artificial neural network and machine learning in utilizing spatial information

A Goel, AK Goel, A Kumar - Spatial Information Research, 2023 - Springer
… , and reinforcement learning. The objective of the study is to present the role of artificial
+neural networks and machine learning in utilizing spatial information. Machine learning and AI …
Save Cite Cited by 249 Related articles All 6 versions

Traffic management approaches using machine learning and deep learning techniques: A survey

H Almukhalfi, A Noor, TH Noor - Engineering Applications of Artificial …, 2024 - Elsevier
… such as machine learning and deep learning to streamline … of leveraging machine learning
+and deep learning in Traffic … potential of machine learning and deep learning techniques. …
Save Cite Cited by 106 Related articles All 2 versions
[PDF] springer.com

Evaluation of a decided sample size in machine learning applications

D Rajput, WJ Wang, CC Chen - BMC bioinformatics, 2023 - Springer
Background An appropriate sample size is essential for obtaining a precise and reliable
+outcome of a study. In machine learning (ML), studies with inadequate samples suffer from …
Save Cite Cited by 334 Related articles All 9 versions
[PDF] researchgate.net

Byzantine machine learning: A primer

R Guerraoui, N Gupta, R Pinot - ACM Computing Surveys, 2024 - dl.acm.org
… Consequently, the general understanding on the principles of Byzantine machine learning
+… machine learning. In particular, we introduce three pillars of Byzantine machine learning, …
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Future of machine learning in geotechnics

KK Phoon, W Zhang - … : Assessment and Management of Risk for …, 2023 - Taylor & Francis
… The term “big data” in machine learning refers to data sets that are too … The keyword “machine
+learning” did not appear in the New … Wiki defines machine learning (ML) as the “study of …
Save Cite Cited by 262 Related articles All 3 versions
[PDF] annualreviews.org

Representations of materials for machine learning

J Damewood, J Karaguesian, JR Lunger… - Annual Review of …, 2023 - annualreviews.org
… High-throughput data generation methods and machine learning (ML) algorithms have
+given rise to a new era of computational materials science by learning the relations between …
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[HTML] nature.com

[HTML][HTML] Probabilistic weather forecasting with machine learning

I Price, A Sanchez-Gonzalez, F Alet, TR Andersson… - Nature, 2025 - nature.com
… Recent advances in machine learning (ML)-based weather prediction (MLWP) have produced
+ML-based models with less forecast error than single NWP simulations 2 , 3 . However, …
Save Cite Cited by 267 Related articles All 6 versions

Revolutionizing drug formulation development: The increasing impact of machine learning

Z Bao, J Bufton, RJ Hickman, A Aspuru-Guzik… - Advanced Drug Delivery …, 2023 - Elsevier
Over the past few years, the adoption of machine learning (ML) techniques has rapidly expanded
+across many fields of research including formulation science. At the same time, the use …
Save Cite Cited by 67 Related articles All 5 versions
[HTML] sciencedirect.com

[HTML][HTML] Knowledge Discovery: Methods from data mining and machine learning

X Shu, Y Ye - Social Science Research, 2023 - Elsevier
… Machine learning builds models and algorithms by learning and improving from data when
+the explicit model structure is unclear and algorithms with good performance are difficult to …
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[HTML] sciencedirect.com

[HTML][HTML] Ethical and bias considerations in artificial intelligence/machine learning

MG Hanna, L Pantanowitz, B Jackson, O Palmer… - Modern Pathology, 2025 - Elsevier
… Ethics and bias are important considerations in our practice settings, especially as an
+increased number of machine learning (ML) systems are being integrated within our various …
Save Cite Cited by 207 Related articles All 4 versions
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[PDF] arxiv.org

Position: Why we must rethink empirical research in machine learning

M Herrmann, FJD Lange, K Eggensperger… - arXiv preprint arXiv …, 2024 - arxiv.org
… machine learning by addressing practical challenges and epistemic constraints of empirical
+research that are often overlooked. We believe this has implications for machine learning …
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[HTML][HTML] Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework

F Li, T Yigitcanlar, M Nepal, K Nguyen, F Dur - Sustainable Cities and …, 2023 - Elsevier
… Numerous studies integrated machine learning and remote … joint applications of machine
+learning and remote sensing for … a framework integrating machine learning and remote sensing …
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A review of machine learning for modeling air quality: Overlooked but important issues

D Tang, Y Zhan, F Yang - Atmospheric Research, 2024 - Elsevier
… Machine learning models based on satellite remote sensing … important issues when using
+machine learning. In this review, … on applying machine learning for robust air quality mapping. …
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[HTML][HTML] Exploring the impact of ChatGPT on education: A web mining and machine learning approach

A Rejeb, K Rejeb, A Appolloni, H Treiblmaier… - … International Journal of …, 2024 - Elsevier
ChatGPT, an artificial intelligence model, has garnered significant interest within education.
+This study examined public sentiment regarding ChatGPT's influence on education by …
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[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized
+the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of …
Save Cite Cited by 1221 Related articles All 3 versions

Machine learning in agriculture: a review of crop management applications

I Attri, LK Awasthi, TP Sharma - Multimedia Tools and Applications, 2024 - Springer
… show how machine learning may improve agriculture. This article examines machine learning
+… This paper’s findings show that by using novel machine learning approaches, models may …
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[HTML] mdpi.com

[HTML][HTML] Machine learning methods in weather and climate applications: A survey

L Chen, B Han, X Wang, J Zhao, W Yang, Z Yang - Applied Sciences, 2023 - mdpi.com
… of emerging machine learning approaches. Finally, our focus is on machine learning methods,
+exploring their potential to mitigate the limitations intrinsic to their historical predecessors. …
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[PDF] nsf.gov

Advances in machine learning for wearable sensors

X Xiao, J Yin, J Xu, T Tat, J Chen - ACS nano, 2024 - ACS Publications
… To this end, supervised learning and unsupervised learning … latest advancements in machine
+learning for wearable sensors, … Additionally, we highlight the potential of machine-learning …
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[PDF] arxiv.org

Mlagentbench: Evaluating language agents on machine learning experimentation

Q Huang, J Vora, P Liang, J Leskovec - arXiv preprint arXiv:2310.03302, 2023 - arxiv.org
… machine learning experimentation autonomously? In this paper, we propose MLAgentBench,
+the first benchmark for evaluating agents capable of machine learning … machine learning …
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[PDF] vu.nl

Machine learning in marketing: Recent progress and future research directions

D Herhausen, SF Bernritter, EWT Ngai, A Kumar… - Journal of Business …, 2024 - Elsevier
… However, machine learning also introduces important challenges to the marketing … of
+machine learning in marketing. Specifically, we provide an overview of typical machine learning …
Save Cite Cited by 66 Related articles All 10 versions
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[PDF] springer.com

Autoencoders and their applications in machine learning: a survey

K Berahmand, F Daneshfar, ES Salehi, Y Li… - Artificial intelligence …, 2024 - Springer
Autoencoders have become a hot researched topic in unsupervised learning due to their
+ability to learn data features and act as a dimensionality reduction method. With rapid evolution …
Save Cite Cited by 413 Related articles All 5 versions
[PDF] ox.ac.uk

In-network machine learning using programmable network devices: A survey

C Zheng, X Hong, D Ding, S Vargaftik… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
… of machine learning solutions built upon programmable network devices. It explores the
+different types of machine learning … In-network machine learning can significantly benefit cloud …
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[PDF] acs.orgFull View

Opportunities and challenges for machine learning-assisted enzyme engineering

J Yang, FZ Li, FH Arnold - ACS Central Science, 2024 - ACS Publications
… Recently, machine learning (ML) has emerged as a powerful tool to complement this … fitness
+landscapes for fitness optimization by learning mappings between protein sequences and …
Save Cite Cited by 139 Related articles All 10 versions
[PDF] arxiv.org

Tiny machine learning: Progress and futures [feature]

J Lin, L Zhu, WM Chen, WC Wang… - IEEE Circuits and …, 2023 - ieeexplore.ieee.org
… machine learning (TinyML) is a new frontier of machine learning. By squeezing deep learning
+… tiny memory resource is difficult hold deep learning models designed for cloud and mobile …
Save Cite Cited by 141 Related articles All 4 versions
[PDF] jcpp.net

Artificial intelligence and machine learning in clinical medicine, 2023

CJ Haug, JM Drazen - New England Journal of Medicine, 2023 - Mass Medical Soc
… These improvements in storage and speed have allowed machine learning to progress
+from a dream to reality. Data in both panels are estimates from many types of system …
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A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities

W Han, X Zhang, Y Wang, L Wang, X Huang… - ISPRS Journal of …, 2023 - Elsevier
… Mainstream machine learning (ML) and deep learning (DL) methods can extract high-level
+high-dimensional semantic information and thus supply an efficient tool for high-precision …
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[PDF] google.com

Machine learning-aided generative molecular design

Y Du, AR Jamasb, J Guo, T Fu, C Harris… - Nature Machine …, 2024 - nature.com
… However, designing machine learning models that can … art in molecular design using machine
+learning models as well as … in deploying generative machine learning and highlight future …
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[PDF] acs.orgFull View

Emerging trends in machine learning: a polymer perspective

TB Martin, DJ Audus - ACS Polymers Au, 2023 - ACS Publications
… In the last five years, there has been tremendous growth in machine learning and artificial
+… , outline important growth areas in machine learning and artificial intelligence for polymer …
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[HTML][HTML] Machine learning: Models, challenges, and research directions

T Talaei Khoei, N Kaabouch - Future Internet, 2023 - mdpi.com
… machine learning classification models that covers supervised, unsupervised, semi-supervised,
+and reinforcement learning … of the diverse landscape of machine learning models. In …
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[PDF] ieee.org

Machine learning in oil and gas exploration: A review

A Lawal, Y Yang, H He, NL Baisa - Ieee Access, 2024 - ieeexplore.ieee.org
… assessment of machine learning applications is conducted to … This paper offers a detailed
+overview of machine learning’s … widespread application of machine learning in the exploration, …
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[PDF] nsf.gov

Machine learning and the five big ideas in AI

D Touretzky, C Gardner-McCune… - International journal of …, 2023 - Springer
… machine learning we put forward in this paper also align with research in the learning …
+education literature on how to effectively promote children’s learning of complex concepts. …
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[PDF] acm.org

Foundations & trends in multimodal machine learning: Principles, challenges, and open questions

PP Liang, A Zadeh, LP Morency - ACM Computing Surveys, 2024 - dl.acm.org
… machine learning has brought unique computational and theoretical challenges to the
+machine learning … and theoretical foundations of multimodal machine learning. We start by …
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[PDF] sabapub.com

Ensemble deep learning and machine learning: applications, opportunities, challenges, and future directions

N Rane, SP Choudhary, J Rane - Studies in Medical and Health …, 2024 - sabapub.com
… of studies on ensemble deep learning and machine learning. Relevant academic papers, …
+directions of ensemble learning within both deep learning and machine learning contexts. This …
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What is machine learning, artificial neural networks and deep learning?—Examples of practical applications in medicine

J Kufel, K Bargieł-Łączek, S Kocot, M Koźlik… - Diagnostics, 2023 - mdpi.com
… decade, with machine learning (ML) and deep learning (DL) … mimicking cognitive functions,
+like learning and problem solving. … , discussing the machine learning methods that have been …
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[HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective

A Entezari, A Aslani, R Zahedi, Y Noorollahi - Energy Strategy Reviews, 2023 - Elsevier
… machine learning (ML) was born in the twentieth century to enable computers to simulate
+humans' learning … area where artificial intelligence and machine learning can be very beneficial…
Save Cite Cited by 344 Related articles All 2 versions
[HTML] mdpi.com

[HTML][HTML] A review of machine learning and deep learning approaches on mental health diagnosis

NK Iyortsuun, SH Kim, M Jhon, HJ Yang, S Pant - Healthcare, 2023 - mdpi.com
… battle these problems, machine learning approaches have been … With the growing interest
+in machine and deep learning … their use of machine learning and deep learning technologies, …
Save Cite Cited by 242 Related articles All 7 versions Cached
[HTML] mdpi.com

[HTML][HTML] A brief survey of machine learning and deep learning techniques for e-commerce research

X Zhang, F Guo, T Chen, L Pan, G Beliakov… - Journal of Theoretical …, 2023 - mdpi.com
… of machine learning and deep learning techniques, due to … and application of machine
+learning and deep learning in e-… keywords such as ’machine learning’, ’deep learning’, and ’e-…
Save Cite Cited by 103 Related articles All 6 versions Cached
[PDF] springer.com

Advances of machine learning in materials science: Ideas and techniques

SS Chong, YS Ng, HQ Wang, JC Zheng - Frontiers of Physics, 2024 - Springer
… In this big data era, the use of large dataset in conjunction with machine learning (ML) has
+been … With the advent of machine learning-based techniques, there has been a paradigm shift: …
Save Cite Cited by 74 Related articles All 6 versions

Machine learning: Review and trends

MOK Mendonça, SL Netto, PSR Diniz… - … and machine learning …, 2024 - Elsevier
Abstract Machine learning (ML) entails a set of tools and structures to acquire information
+from data. This chapter explains a wide range of tools to learn from data originating from …
Save Cite Cited by 41 Related articles All 2 versions
[PDF] arxiv.org

Causal machine learning for predicting treatment outcomes

S Feuerriegel, D Frauen, V Melnychuk, J Schweisthal… - Nature Medicine, 2024 - nature.com
Causal machine learning (ML) offers flexible, data-driven methods for predicting treatment
+outcomes including efficacy and toxicity, thereby supporting the assessment and safety of …
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+================================================================================ +machine learning - Google Scholar
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[PDF] frontiersin.org

Cardiovascular diseases prediction by machine learning incorporation with deep learning

S Subramani, N Varshney, MV Anand… - Frontiers in …, 2023 - frontiersin.org
… receive, machine learning (ML) is used. Traditional machine learning algorithms are unable
+… This research presents a collection of machine learning models that can be used to address …
Save Cite Cited by 111 Related articles All 8 versions Cached
[PDF] arxiv.org

Machine learning for synthetic data generation: a review

Y Lu, M Shen, H Wang, X Wang, C van Rechem… - arXiv preprint arXiv …, 2023 - arxiv.org
… to under-fitting of machine learning models, and difficulties in … existing studies that employ
+machine learning models for the … Additionally, it explores different machine learning methods, …
Save Cite Cited by 326 Related articles All 2 versions View as HTML
[PDF] cambridge.org

Machine learning political orders

L Amoore - Review of International Studies, 2023 - cambridge.org
… as a machine learning problem? In this article I map the contours of machine learning logics
+as … This is not equivalent to the claims that the technologies of deep learning algorithms are …
Save Cite Cited by 115 Related articles All 4 versions
[PDF] arxiv.org

Mle-bench: Evaluating machine learning agents on machine learning engineering

JS Chan, N Chowdhury, O Jaffe, J Aung… - arXiv preprint arXiv …, 2024 - arxiv.org
… We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine
+learning engineering. To this end, we curate 75 ML engineeringrelated competitions from …
Save Cite Cited by 104 Related articles All 4 versions View as HTML
[PDF] annualreviews.org

Machine learning in earthquake seismology

SM Mousavi, GC Beroza - Annual Review of Earth and …, 2023 - annualreviews.org
Machine learning (ML) is a collection of methods used to develop understanding and predictive
+capability by learning relationships embedded in data. ML methods are becoming the …
Save Cite Cited by 227 Related articles All 4 versions
[PDF] ssrn.com

Machine learning process evaluating damage classification of composites

M Amini, A Rahmani - International Journal of Science and …, 2023 - papers.ssrn.com
… traditional machine learning algorithms such as K-nearest neighbors, support vector machine…
+measurements in composite materials with machine learning tools, this work contributes to …
Save Cite Cited by 148 Related articles All 2 versions View as HTML
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[HTML][HTML] Artificial intelligence, machine learning, and deep learning in liver transplantation

M Bhat, M Rabindranath, BS Chara, DA Simonetto - Journal of hepatology, 2023 - Elsevier
… Machine learning and deep learning could be applied in both the pre- and post-LT settings.
+Some examples of AI applications pre-transplant include optimising transplant candidacy …
Save Cite Cited by 170 Related articles All 4 versions
[PDF] lww.com

Machine learning applications in stroke medicine: advancements, challenges, and future prospectives

M Daidone, S Ferrantelli… - Neural regeneration …, 2024 - journals.lww.com
… Machine learning promises to revolutionize stroke medicine … realizing the full potential of
+machine learning in stroke care, … current implications of machine learning in stroke diagnosis, …
Save Cite Cited by 98 Related articles All 9 versions
[PDF] vu.lt

Findings on teaching machine learning in high school: A ten-year systematic literature review

RM Martins, C Gresse Von Wangenheim - Informatics in Education, 2023 - ceeol.com
… Machine Learning (ML) is becoming increasingly present in our lives. Thus, it is important
+to … in engaging students and demonstrated positive learning effects. Visual as well as text-…
Save Cite Cited by 321 Related articles All 10 versions
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[HTML][HTML] Systematic literature review: Quantum machine learning and its applications

D Peral-García, J Cruz-Benito… - Computer Science …, 2024 - Elsevier
… that used quantum machine learning techniques and … machine learning algorithms, such
+as support vector machines or the k-nearest neighbor model, and classical deep learning …
Save Cite Cited by 279 Related articles All 8 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] springer.com

Coronavirus disease (COVID-19) cases analysis using machine-learning applications

AS Kwekha-Rashid, HN Abduljabbar, B Alhayani - Applied nanoscience, 2023 - Springer
… machine learning can produce an important role in COVID-19 investigations, prediction, and
+discrimination. In conclusion, machine learning … Supervised learning showed better results …
Save Cite Cited by 353 Related articles All 11 versions

Open-world machine learning: A review and new outlooks

F Zhu, S Ma, Z Cheng, XY Zhang, Z Zhang… - arXiv e …, 2024 - ui.adsabs.harvard.edu
… machine learning by investigating unknown rejection, novel class discovery, and class-incremental
+learning … the emerging open-world machine learning paradigm, to help researchers …
Save Cite Cited by 46 Related articles
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[HTML][HTML] Machine learning for chemistry: basics and applications

YF Shi, ZX Yang, S Ma, PL Kang, C Shang, P Hu… - Engineering, 2023 - Elsevier
The past decade has seen a sharp increase in machine learning (ML) applications in
+scientific research. This review introduces the basic constituents of ML, including databases, …
Save Cite Cited by 67 Related articles All 4 versions
[PDF] researchgate.net

Machine learning in metaverse security: Current solutions and future challenges

Y Otoum, N Gottimukkala, N Kumar, A Nayak - ACM Computing Surveys, 2024 - dl.acm.org
… This article undertakes a comprehensive study of the security and privacy challenges facing
+the Metaverse, leveraging machine learning models for this purpose. In particular, our focus …
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[HTML] mdpi.com

[HTML][HTML] An overview of machine learning, deep learning, and reinforcement learning-based techniques in quantitative finance: recent progress and challenges

SK Sahu, A Mokhade, ND Bokde - Applied Sciences, 2023 - mdpi.com
… machine learning (ML), deep learning (DL), reinforcement learning (RL), and deep reinforcement
+learning (… Machine learning algorithms can now extract high-level financial market data …
Save Cite Cited by 184 Related articles All 5 versions Cached
[PDF] wiley.com

On some limitations of current machine learning weather prediction models

M Bonavita - Geophysical Research Letters, 2024 - Wiley Online Library
Abstract Machine Learning (ML) is having a profound impact in the domain of Weather and
+Climate Prediction. A recent development in this area has been the emergence of fully data‐…
Save Cite Cited by 110 Related articles All 3 versions

An interactive teaching evaluation system for preschool education in universities based on machine learning algorithm

D Li - Computers in human behavior, 2024 - Elsevier
… machine learning algorithm. The experimental results show that the classification model
+realized by the machine learning … algorithms as the meta-learning algorithm in the framework, …
Save Cite Cited by 62 Related articles All 2 versions
[PDF] springer.com

Machine learning for intelligent data analysis and automation in cybersecurity: current and future prospects

IH Sarker - Annals of Data Science, 2023 - Springer
… Therefore, it’s crucial to understand the fundamentals of various machine learning …
+importance of machine learning, we provide a comprehensive view of machine learning algorithms …
Save Cite Cited by 301 Related articles All 11 versions
[PDF] merl.com

Sensing and machine learning for automotive perception: A review

A Pandharipande, CH Cheng, J Dauwels… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
… processing algorithms and the role of machine learning techniques, methodologies for validating
+… The technical challenges for each aspect are analyzed, emphasizing machine learning …
Save Cite Cited by 136 Related articles All 11 versions
[PDF] ieee.org

Predicting agriculture yields based on machine learning using regression and deep learning

P Sharma, P Dadheech, N Aneja, S Aneja - IEEE Access, 2023 - ieeexplore.ieee.org
… In order to forecast India’s crop yield, this study uses various machine learning and deep
+learning approaches. The study underlines the advantages of cutting-edge procedures. It is …
Save Cite Cited by 110 Related articles All 4 versions
+================================================================================ +machine learning - Google Scholar
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Page 12 of about 644,000 results (0.09 sec)

Machine Learning and Genetic Algorithms: A case study on image reconstruction

C Cavallaro, V Cutello, M Pavone, F Zito - Knowledge-Based Systems, 2024 - Elsevier
… of machine learning techniques to optimization problems and propose a novel integration
+between metaheuristics and machine learning … algorithm that uses machine learning to quickly …
Save Cite Cited by 52 Related articles All 2 versions
[PDF] frontiersin.org

Accurately identifying hemagglutinin using sequence information and machine learning methods

X Zou, L Ren, P Cai, Y Zhang, H Ding, K Deng… - Frontiers in …, 2023 - frontiersin.org
… By perform feature optimization and inputting them four kinds of machine learning
+methods, we constructed an integrated classifier model using the stacking algorithm. …
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[HTML] mdpi.com

[HTML][HTML] A brief review of machine learning algorithms in forest fires science

R Alkhatib, W Sahwan, A Alkhatieb, B Schütt - Applied Sciences, 2023 - mdpi.com
… lot of interest in machine learning techniques. The machine learning methods that are used
+… research gaps and recent studies that use machine learning techniques to study forest fires. …
Save Cite Cited by 115 Related articles All 8 versions Cached
[PDF] ieee.org

Machine learning solutions for the security of wireless sensor networks: A review

YY Ghadi, T Mazhar, T Al Shloul, T Shahzad… - Ieee …, 2024 - ieeexplore.ieee.org
… different machine learning … Machine learning algorithms that are used to secure wireless
+sensor networks. Moreover, this study also addresses issues of adapting machine learning …
Save Cite Cited by 74 Related articles All 3 versions
[HTML] mdpi.com

[HTML][HTML] Machine learning and prediction of infectious diseases: a systematic review

OE Santangelo, V Gentile, S Pizzo, D Giordano… - Machine Learning and …, 2023 - mdpi.com
… the art in the use of machine learning for the prediction of infectious diseases. We will
+focus on recent, high-quality studies that have applied machine-learning techniques to real-world …
Save Cite Cited by 124 Related articles All 6 versions Cached

The role of machine learning in tribology: A systematic review

UMR Paturi, ST Palakurthy, NS Reddy - Archives of Computational …, 2023 - Springer
… Unlike other statistical tools, machine learning does not … While AI-based machine learning
+approaches have been … of the role of machine learning in tribological research and pave the …
Save Cite Cited by 102 Related articles All 3 versions

Feature selection techniques for machine learning: a survey of more than two decades of research

D Theng, KK Bhoyar - Knowledge and Information Systems, 2024 - Springer
… the performance, reliability, and interpretability of a machine learning model. Feature selection
+is a widely used technique in machine learning and data mining and has a wide range of …
Save Cite Cited by 330 Related articles All 4 versions

Application of Machine Learning and Deep Learning in Finite Element Analysis: A Comprehensive Review.

D Nath, DR Neog, SS Gautam - Archives of computational …, 2024 - search.ebscohost.com
… Machine learning (ML) has evolved as a technology used in even broader domains, ranging
+… Machine learning MLMM Machine learning material model NURBS Non-uniform rational B-…
Save Cite Cited by 83 Related articles
[PDF] wiley.com

Recent progresses in machine learning assisted Raman spectroscopy

Y Qi, D Hu, Y Jiang, Z Wu, M Zheng… - Advanced Optical …, 2023 - Wiley Online Library
… Generally speaking, machine learning applied to chemical data such as Raman spectra …
+or employed predating machine learning). We note that machine learning is a method of …
Save Cite Cited by 181 Related articles All 8 versions

Machine learning for functional protein design

P Notin, N Rollins, Y Gal, C Sander, D Marks - Nature biotechnology, 2024 - nature.com
… To make sense of the exploding diversity of machine learning approaches, we introduce a
+unifying framework that classifies models on the basis of their use of three core data modalities…
Save Cite Cited by 207 Related articles All 4 versions
+================================================================================ +machine learning - Google Scholar
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[HTML] mdpi.com

[HTML][HTML] Quantum machine learning: A review and case studies

A Zeguendry, Z Jarir, M Quafafou - Entropy, 2023 - mdpi.com
… review of Quantum Machine Learning from the … Machine Learning algorithms from a computer
+scientist’s perspective, we discuss a set of basic algorithms for Quantum Machine Learning…
Save Cite Cited by 204 Related articles All 15 versions Cached

The impact of data normalization on the accuracy of machine learning algorithms: A comparative analysis

K Cabello-Solorzano, I Ortigosa de Araujo… - … conference on soft …, 2023 - Springer
… as an important aspect in machine learning. The results of this … strategy for machine learning
+in classification problems. … their applicability and benefits in machine learning. In Sect. 3 we …
Save Cite Cited by 204 Related articles All 4 versions
[PDF] arxiv.org

Differentiable modelling to unify machine learning and physical models for geosciences

C Shen, AP Appling, P Gentine, T Bandai… - Nature Reviews Earth & …, 2023 - nature.com
… -based modelling and machine learning in the … machine learning. It offers better interpretability,
+generalizability, and extrapolation capabilities than purely data-driven machine learning, …
Save Cite Cited by 294 Related articles All 23 versions
[PDF] neurips.cc

Towards foundation models for scientific machine learning: Characterizing scaling and transfer behavior

S Subramanian, P Harrington… - Advances in …, 2023 - proceedings.neurips.cc
… Pre-trained machine learning (ML) models have shown great performance for a wide range
+… machine learning (SciML) applications, specifically in the context of transfer learning. We …
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[PDF] springer.com

Fairness issues, current approaches, and challenges in machine learning models

TD Jui, P Rivas - International Journal of Machine Learning and …, 2024 - Springer
… With the increasing influence of machine learning algorithms in decision-making processes,
+… , we propose a taxonomy of machine learning fairness issues and map the diverse range of …
Save Cite Cited by 63 Related articles All 4 versions
[PDF] sciencedirect.com

Early detection of Parkinson's disease using machine learning

A Govindu, S Palwe - Procedia Computer Science, 2023 - Elsevier
… use of machine learning … Machine (SVM), Random Forest, K-Nearest Neighbors (KNN)
+and Logistic Regression models, yield Random Forest classifier as the ideal Machine Learning (…
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[HTML][HTML] From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare

C Chakraborty, M Bhattacharya, S Pal… - Current Research in …, 2024 - Elsevier
… -driven, robust, and efficient machine learning (ML) to deep learning (DL) technologies. ML
+… This article reviews some critical data-driven aspects of machine intelligence in the medical …
Save Cite Cited by 194 Related articles

Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics

K Hippalgaonkar, Q Li, X Wang, JW Fisher III… - Nature Reviews …, 2023 - nature.com
As materials researchers increasingly embrace machine-learning (ML) methods, it is natural
+to wonder what lessons can be learned from other fields undergoing similar developments. …
Save Cite Cited by 126 Related articles All 6 versions
[PDF] neurips.cc

The well: a large-scale collection of diverse physics simulations for machine learning

R Ohana, M McCabe, L Meyer… - Advances in …, 2024 - proceedings.neurips.cc
… modern machine learning, but rather that they reflect reasonable compute budgets and off-the-shelf
+choices that might be selected by a domain scientist exploring machine learning for …
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[PDF] acm.orgFull View

The role of machine learning in cybersecurity

G Apruzzese, P Laskov, E Montes de Oca… - … Threats: Research and …, 2023 - dl.acm.org
Machine Learning (ML) represents a pivotal technology for current and future information
+systems, and many domains already leverage the capabilities of ML. However, deployment of …
Save Cite Cited by 277 Related articles All 8 versions
+================================================================================ +machine learning - Google Scholar
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Machine learning optimization techniques: a survey, classification, challenges, and future research issues

K Bian, R Priyadarshi - Archives of Computational Methods in Engineering, 2024 - Springer
Optimization approaches in machine learning (ML) are essential for training models to
+obtain high performance across numerous domains. The article provides a comprehensive …
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[PDF] researchgate.net

[PDF][PDF] Navigating the future: integrating AI and machine learning in hr practices for a digital workforce

CG Okatta, FA Ajayi, O Olawale - Computer science & IT research …, 2024 - researchgate.net
… with integrating AI and Machine Learning in HR practices for a … successfully leverage AI and
+Machine Learning to enhance HR … Intelligence (AI) and Machine Learning (ML) to streamline …
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Recent advances and application of machine learning in food flavor prediction and regulation

H Ji, D Pu, W Yan, Q Zhang, M Zuo, Y Zhang - Trends in Food Science & …, 2023 - Elsevier
… Computational methods, such as machine learning (ML) techniques, can accurately and
+efficiently predict and regulate complex flavors and attract continuous attention. …
Save Cite Cited by 138 Related articles All 2 versions
[PDF] springer.com

When physics meets machine learning: A survey of physics-informed machine learning

C Meng, S Griesemer, D Cao, S Seo, Y Liu - Machine Learning for …, 2025 - Springer
… In this section, we introduce recent developments in leveraging machine learning for
+several physics-related tasks, including surrogate simulation, data-driven PDE solvers, …
Save Cite Cited by 164 Related articles All 3 versions
[PDF] arxiv.org

Open-world machine learning: applications, challenges, and opportunities

J Parmar, S Chouhan, V Raychoudhury… - ACM Computing …, 2023 - dl.acm.org
… machine learning and training and testing data are similar to traditional machine learning,
+except traditional machine learning … tradition and continuous machine learning based on task, …
Save Cite Cited by 167 Related articles All 4 versions

From pinns to pikans: Recent advances in physics-informed machine learning

JD Toscano, V Oommen, AJ Varghese, Z Zou… - Machine Learning for …, 2025 - Springer
… In Section 2 we outline the general framework of Physics-Informed Machine Learning. Section
+3 provides a comprehensive summary of the major techniques aimed at improving PINNs. …
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[HTML][HTML] A comprehensive review of the applications of machine learning for HVAC

SL Zhou, AA Shah, PK Leung, X Zhu, Q Liao - DeCarbon, 2023 - Elsevier
… machine learning can gain widespread adoption in industry. This review summarizes the
+recent literature on machine learning … A brief overview of machine learning and its applications …
Save Cite Cited by 78 Related articles
[PDF] acs.org

Machine learning-guided protein engineering

P Kouba, P Kohout, F Haddadi, A Bushuiev… - ACS …, 2023 - ACS Publications
… predictions to all predictions produced by a machine learning model active learning a type
+of machine learning in which the learning algorithm queries a person for providing labels for …
Save Cite Cited by 136 Related articles All 11 versions
[PDF] academia.edu

A systematic review of machine learning methods in software testing

S Ajorloo, A Jamarani, M Kashfi, MH Kashani… - Applied Soft …, 2024 - Elsevier
… By addressing these aspects, this study contributes to advancing the discourse on machine
+learning's role in software testing and paves the way for substantial improvements in testing …
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[PDF] cell.comFull View

From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment

K Swanson, E Wu, A Zhang, AA Alizadeh, J Zou - Cell, 2023 - cell.com
… In the past decade, machine learning (ML) has seen an explosion of applications in … and
+the structure of a dataset (see machine learning primer section for a brief introduction to ML). In …
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+================================================================================ +machine learning - Google Scholar
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[HTML][HTML] Soil science-informed machine learning

B Minasny, T Bandai, TA Ghezzehei, YC Huang, Y Ma… - Geoderma, 2024 - Elsevier
Abstract Machine learning (ML) applications in soil science have significantly increased over
+the past two decades, reflecting a growing trend towards data-driven research addressing …
Save Cite Cited by 41 Related articles All 5 versions
[PDF] arxiv.org

The transformative potential of machine learning for experiments in fluid mechanics

R Vinuesa, SL Brunton, BJ McKeon - Nature Reviews Physics, 2023 - nature.com
… In this Perspective article, we describe some frontiers impacted or opened by machine
+learning (ML) applied to experimentation in fluid mechanics, a discipline at the core of many …
Save Cite Cited by 109 Related articles All 6 versions
[PDF] springer.com

The benefits and pitfalls of machine learning for biomarker discovery

S Ng, S Masarone, D Watson, MR Barnes - Cell and tissue research, 2023 - Springer
… Machine learning and AI methods are good at finding … of the basic concepts of machine
+learning and AI for biomarker … the accessibility of tools for AI and machine learning. We use this to …
Save Cite Cited by 118 Related articles All 10 versions

[BOOK][B] Machine learning: concepts, techniques and applications

TV Geetha, S Sendhilkumar - 2023 - taylorfrancis.com
… level of explaining machine learning and goes on to explain the basis of machine learning
+… with their associations to machine learning. The book then goes on to describe important …
Save Cite Cited by 39 Related articles All 3 versions Library Search View as HTML
[PDF] sciencedirect.com

Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability

LV Herm, K Heinrich, J Wanner, C Janiesch - International Journal of …, 2023 - Elsevier
… Machine learning algorithms enable advanced decision … Machine learning models with
+higher performance are often … for five common classes of machine learning algorithms. Second, …
Save Cite Cited by 159 Related articles All 6 versions

Predicting E-commerce customer satisfaction: Traditional machine learning vs. deep learning approaches

M Zaghloul, S Barakat, A Rezk - Journal of Retailing and Consumer …, 2024 - Elsevier
… through a comparative machine learning modeling approach to … machine learning models
+including random forest and support vector machines are benchmarked against deep learning …
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[HTML] mdpi.com

[HTML][HTML] Bias in machine learning: A literature review

K Mavrogiorgos, A Kiourtis, A Mavrogiorgou… - Applied Sciences, 2024 - mdpi.com
… (eg, reporting bias), the phrase “machine learning”, since this manuscript is focused on
+ML … of the search terms “regularization”, “machine learning” and the names of widely used …
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[PDF] sciencedirect.com

Application of machine learning in groundwater quality modeling-A comprehensive review

R Haggerty, J Sun, H Yu, Y Li - Water Research, 2023 - Elsevier
… In the last two decades, the application of machine learning (… techniques such as deep
+learning or unsupervised algorithms. … implementation of deep learning and explainable artificial …
Save Cite Cited by 238 Related articles All 8 versions
[PDF] springer.com

Applications and techniques of machine learning in cancer classification: a systematic review

A Yaqoob, R Musheer Aziz, NK Verma - Human-Centric Intelligent …, 2023 - Springer
… to comprehend the different categories of machine acquiring knowledge systems along with
+… of machine learning, including cancer classification, and how machine learning algorithms …
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[HTML] mdpi.com

[HTML][HTML] Comparative analysis for slope stability by using machine learning methods

YA Nanehkaran, Z Licai, J Chengyong, J Chen… - Applied Sciences, 2023 - mdpi.com
… according to the machine learning rate and specific accuracy. Machine learning algorithms
+attempt … Optimization is also closely related to machine learning: many learning problems are …
Save Cite Cited by 109 Related articles All 8 versions Cached
+================================================================================ +machine learning - Google Scholar
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[PDF] nih.gov

Can we predict T cell specificity with digital biology and machine learning?

D Hudson, RA Fernandes, M Basham, G Ogg… - Nature Reviews …, 2023 - nature.com
… Recent advances in machine learning and experimental biology have offered breakthrough
+… such as single-cell technology and machine learning may provide possible solutions. Finally…
Save Cite Cited by 184 Related articles All 6 versions

Revolutionizing healthcare: the role of machine learning in the health sector

M Sarker - Journal of Artificial Intelligence General science (JAIGS …, 2024 - ideas.repec.org
… However, the emergence of machine learning (ML) has ushered in a transformative
+paradigm shift towards value-based treatment, empowering healthcare providers to deliver …
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[PDF] springer.com

A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future

RJ Woodman, AA Mangoni - Aging Clinical and Experimental Research, 2023 - Springer
… artificial intelligence and machine learning algorithms provides … This review provides a broad
+taxonomy of machine learning … latter via the development of explainable machine learning. …
Save Cite Cited by 114 Related articles All 9 versions

IoT convergence with machine learning & blockchain: A review

E Fazel, MZ Nezhad, J Rezazadeh, M Moradi… - Internet of Things, 2024 - Elsevier
… machine learning skills, blockchain-enabled secure transactions, and smart contracts. For
+instance, this convergence system, which relies on machine learning … and machine learning …
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[HTML][HTML] Application of machine learning in material synthesis and property prediction

G Huang, Y Guo, Y Chen, Z Nie - Materials, 2023 - mdpi.com
… machine learning are briefly outlined. Several commonly used algorithms in machine learning
+… The research progress of machine learning in predicting material properties and guiding …
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[PDF] iop.orgFull View

Rediscovering orbital mechanics with machine learning

P Lemos, N Jeffrey, M Cranmer, S Ho… - Machine Learning …, 2023 - iopscience.iop.org
… We present an approach for using machine learning to automatically discover the governing
+equations and unknown properties (in this case, masses) of real physical systems from …
Save Cite Cited by 141 Related articles All 11 versions
[PDF] sagepub.com

Machine learning and the politics of synthetic data

BN Jacobsen - Big Data & Society, 2023 - journals.sagepub.com
… As the impact of synthetic data used for machine learning … to underpin a process of machine
+learning where the algorithm … the resilience logic of machine learning. Synthetic variability, in …
Save Cite Cited by 85 Related articles All 8 versions

Machine learning in nanozymes: from design to application

Y Gao, Z Zhu, Z Chen, M Guo, Y Zhang, L Wang… - Biomaterials …, 2024 - pubs.rsc.org
… The advent of artificial intelligence (AI), particularly machine learning (ML), has ushered
+in innovative design approaches for researchers in this domain. This review delves into the …
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Machine learning applications in nanomaterials: Recent advances and future perspectives

L Yang, H Wang, D Leng, S Fang, Y Yang… - Chemical Engineering …, 2024 - Elsevier
… With the rapid development of machine learning (ML) technology, its role in the application
+of nanomaterials is becoming increasingly prominent. Nanomaterials, assisted by various ML …
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[HTML] sciencedirect.com

[HTML][HTML] Interpretable machine learning for building energy management: A state-of-the-art review

Z Chen, F Xiao, F Guo, J Yan - Advances in Applied Energy, 2023 - Elsevier
… trust machine learning models because of their black-box nature. To this end, the interpretability
+of machine learning … that adopted interpretable machine learning techniques for building …
Save Cite Cited by 268 Related articles All 4 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] researchworkx.com

Automating Cybersecurity with Machine Learning and Predictive Analytics

GK Karamchand - Journal of Computational Innovation, 2023 - researchworkx.com
… This paper explores the transformative role of machine learning (ML) and predictive
+analytics in automating cybersecurity. By leveraging ML algorithms to identify patterns and …
Save Cite Cited by 117 Related articles View as HTML
[PDF] sciencedirect.com

A review of machine learning applications in life cycle assessment studies

XX Romeiko, X Zhang, Y Pang, F Gao, M Xu… - Science of The Total …, 2024 - Elsevier
… Increasing data availability and rapid development of machine learning (ML) approaches
+offer … Third, incorporating deep learning models into LCA holds promise to further improve life …
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[HTML] sciencedirect.com

[HTML][HTML] Machine learning for anomaly detection in particle physics

V Belis, P Odagiu, TK Aarrestad - Reviews in Physics, 2024 - Elsevier
… Recent advances in Machine Learning for anomaly detection have encouraged the … anomaly
+detection in particle physics using machine learning. We discuss the challenges associated …
Save Cite Cited by 76 Related articles All 5 versions

Accelerating the prediction of stable materials with machine learning

SD Griesemer, Y Xia, C Wolverton - Nature Computational Science, 2023 - nature.com
… When physics-based computational methods and labor-intensive experiments are not
+feasible, machine learning (ML) methods can be a rapid and powerful alternative. Owing to a …
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[HTML] mdpi.com

[HTML][HTML] Precision machine learning

EJ Michaud, Z Liu, M Tegmark - Entropy, 2023 - mdpi.com
We explore unique considerations involved in fitting machine learning (ML) models to data
+with very high precision, as is often required for science applications. We empirically …
Save Cite Cited by 60 Related articles All 8 versions Cached

Leaf disease detection using machine learning and deep learning: Review and challenges

C Sarkar, D Gupta, U Gupta, BB Hazarika - Applied Soft Computing, 2023 - Elsevier
… Machine learning (ML) and deep learning (DL) models are used to classify different types
+of leaf diseases. We made a workflow mechanism to help researchers in this field. Support …
Save Cite Cited by 199 Related articles All 2 versions
[PDF] researchcommons.org

The significance of machine learning and deep learning techniques in cybersecurity: A comprehensive review

MM Mijwil, IE Salem… - Iraqi Journal For …, 2023 - ijcsm.researchcommons.org
… role of machine learning and deep learning techniques in … that have used machine learning
+and deep learning techniques in the … of machine learning and deep learning techniques in …
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[HTML][HTML] Review of machine learning in robotic grasping control in space application

H Jahanshahi, ZH Zhu - Acta Astronautica, 2024 - Elsevier
This article presents a comprehensive survey of the integration of machine learning techniques
+into robotic grasping, with a special emphasis on the challenges and advancements for …
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[HTML] mdpi.com

[HTML][HTML] Machine learning-based predictive models for detection of cardiovascular diseases

A Ogunpola, F Saeed, S Basurra, AM Albarrak… - Diagnostics, 2024 - mdpi.com
… machine learning (ML) techniques in the context of heart disease analysis. Then, we investigated
+and applied seven machine learning-… , Support Vector Machine, Logistic Regression, …
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[PDF] wiley.com

Progress and opportunities for machine learning in materials and processes of additive manufacturing

WL Ng, GL Goh, GD Goh, JSJ Ten… - Advanced …, 2024 - Wiley Online Library
In recent years, there has been widespread adoption of machine learning (ML)
+technologies to unravel intricate relationships among diverse parameters in various additive …
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+================================================================================ +machine learning - Google Scholar
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[BOOK][B] Applications of artificial neural networks and machine learning in civil engineering

A Kaveh - 2024 - Springer
… , including supervised learning, unsupervised learning, and reinforcement learning. Algorithms
+used in machine learning are among these three categories. Machine learning is a field …
Save Cite Cited by 262 Related articles All 3 versions Library Search
[PDF] acs.org

Characterizing uncertainty in machine learning for chemistry

E Heid, CJ McGill, FH Vermeire… - Journal of Chemical …, 2023 - ACS Publications
… To showcase the influence of noise on a machine learning model, we use the noise-free
+data set of artifical, additive enthalpies to train a d-MPNN model. The respective model …
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[HTML][HTML] Machine learning and artificial intelligence in neuroscience: A primer for researchers

F Badrulhisham, E Pogatzki-Zahn, D Segelcke… - Brain, Behavior, and …, 2024 - Elsevier
Artificial intelligence (AI) is often used to describe the automation of complex tasks that we
+would attribute intelligence to. Machine learning (ML) is commonly understood as a set of …
Save Cite Cited by 74 Related articles All 7 versions
[PDF] arxiv.org

A practical guide to machine learning interatomic potentials–Status and future

R Jacobs, D Morgan, S Attarian, J Meng, C Shen… - Current Opinion in Solid …, 2025 - Elsevier
The rapid development and large body of literature on machine learning interatomic potentials
+(MLIPs) can make it difficult to know how to proceed for researchers who are not experts …
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[HTML][HTML] Battery safety: Machine learning-based prognostics

J Zhao, X Feng, Q Pang, M Fowler, Y Lian… - Progress in Energy and …, 2024 - Elsevier
… essential for data-driven, machine learning models. We offer an exhaustive … of machine
+learning approaches. Our discussion encompasses: (1) supervised and reinforcement learning …
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[PDF] bonviewpress.com

Machine learning methodology for identifying vehicles using image processing

M Hasanvand, M Nooshyar… - Artificial Intelligence …, 2023 - ojs.bonviewpress.com
… The training dataset is then used to train machine learning models. The accuracy of the …
+size of vehicles; (B) our paper used machine learning as a classifier that can be used for the high …
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From prediction to design: recent advances in machine learning for the study of 2D materials

H He, Y Wang, Y Qi, Z Xu, Y Li, Y Wang - Nano Energy, 2023 - Elsevier
… This review comprehensively surveys the multifaceted applications of machine learning (ML)
+in the study of 2D materials, filling this research gap. We summarize the latest …
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[PDF] wiley.comFull View

Weakly supervised machine learning

Z Ren, S Wang, Y Zhang - CAAI Transactions on Intelligence …, 2023 - Wiley Online Library
… , and we call it machine learning when the agent is a computer [1]. In the last decades, machine
+learning had … Typically, machine learning can be categorised into four types: supervised …
Save Cite Cited by 146 Related articles All 5 versions
[PDF] academia.edu

[PDF][PDF] A tutorial on principal component analysis for dimensionality reduction in machine learning

JP Bharadiya - International journal of innovative science and …, 2023 - academia.edu
… machine learning algorithms that can be used for anomaly detection. The technical challenges
+in NIDSs based on machine learning … the Support Vector Machine algorithm with the …
Save Cite Cited by 141 Related articles View as HTML
[PDF] wiley.comFull View

Machine learning and deep learning—A review for ecologists

M Pichler, F Hartig - Methods in Ecology and Evolution, 2023 - Wiley Online Library
… solutions for classical statistical methods but also the development of alternative modelling
+approaches for data analysis and predictions that we collectively refer to as “machine learning…
Save Cite Cited by 334 Related articles All 8 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] hal.science

Machine learning for micro-and nanorobots

L Yang, J Jiang, F Ji, Y Li, KL Yung, A Ferreira… - Nature Machine …, 2024 - nature.com
Abstract Machine learning (ML) has revolutionized robotics by enhancing perception, adaptability,
+decision-making and more, enabling robots to work in complex scenarios beyond the …
Save Cite Cited by 60 Related articles All 4 versions
[PDF] researchgate.net

[PDF][PDF] Integrating AI and Machine Learning in STEM education: Challenges and opportunities

OB Joseph, NC Uzondu - Computer Science & IT Research …, 2024 - researchgate.net
… Intelligence (AI) and Machine Learning (ML) in STEM … outcomes, personalize learning
+experiences and address critical … contribute to personalized learning, adaptive teaching strategies, …
Save Cite Cited by 53 Related articles View as HTML
[PDF] arxiv.org

A dependable hybrid machine learning model for network intrusion detection

MA Talukder, KF Hasan, MM Islam, MA Uddin… - Journal of Information …, 2023 - Elsevier
… a new hybrid model that combines machine learning and deep learning to increase detection
+rates … We compared our developed method to various machine learning and deep learning …
Save Cite Cited by 250 Related articles All 15 versions
[PDF] academia.edu

[PDF][PDF] AI and Machine Learning in Cybersecurity: Strategies, Threats, and Exploits

A Mohammed - Innovative Computer Sciences Journal, 2023 - academia.edu
… harnesses the power of machine learning to forecast potential … Machine learning models
+can process large datasets to … , leveraging AI and machine learning to enhance the speed and …
Save Cite Cited by 117 Related articles All 2 versions View as HTML
[PDF] wiley.com

Using machine learning to individualize treatment effect estimation: challenges and opportunities

A Curth, RW Peck, E McKinney… - Clinical …, 2024 - Wiley Online Library
… We argue that novel machine learning (ML) methods can be used to overcome these
+major limitations, creating a real-world evidence base that can augment and complement the …
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[HTML] mdpi.com

[HTML][HTML] Applications of artificial intelligence, machine learning, and deep learning in nutrition: A systematic review

TP Theodore Armand, KA Nfor, JI Kim, HC Kim - Nutrients, 2024 - mdpi.com
… A systematic literature review was conducted in this study regarding the applications of AI,
+machine learning, and deep learning techniques applied in nutrition sciences. A hybrid …
Save Cite Cited by 78 Related articles All 4 versions Cached
[HTML] wiley.com

Catalysis in the digital age: Unlocking the power of data with machine learning

BM Abraham, MV Jyothirmai, P Sinha… - Wiley …, 2024 - Wiley Online Library
… The present review article provides a practical guidance on using machine learning (ML)
+techniques for catalyst development, including data acquisition, feature engineering, model …
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[PDF] sciencedirect.com

Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges

Y Xu, S Kohtz, J Boakye, P Gardoni, P Wang - Reliability Engineering & …, 2023 - Elsevier
… modeling with machine learning approaches, referred to as physics-informed machine learning
+(… -of-the-art of physics-informed machine learning methods in reliability and system safety …
Save Cite Cited by 301 Related articles All 6 versions

Crop yield prediction using machine learning techniques

S Iniyan, VA Varma, CT Naidu - Advances in Engineering Software, 2023 - Elsevier
… Methods of machine learning can aid intelligent system decision-making. The … a machine
+learning model make predictions. By taking into account several variables, machine learning …
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[HTML][HTML] Application of machine learning for composite moulding process modelling

Y Wang, S Xu, KH Bwar, B Eisenbart, G Lu… - Composites …, 2024 - Elsevier
… of machine learning to facilitate composite moulding process modelling. The well-established
+PixelRNN, an image-based machine learning … potential of machine learning in composite …
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[PDF] researchgate.net

[PDF][PDF] Review of predictive modeling and machine learning applications in financial service analysis

KJ Olowe, NL Edoh, SJC Zouo… - Computer Science & IT …, 2024 - researchgate.net
… challenges associated with the use of machine learning techniques in the financial services
+industry… This review will highlight the growing importance of machine learning in the financial …
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[PDF] nature.com

High-throughput microbial culturomics using automation and machine learning

Y Huang, RU Sheth, S Zhao, LA Cohen… - Nature …, 2023 - nature.com
… We develop a machine learning approach that leverages colony morphology and genomic
+data to maximize the diversity of microbes isolated and enable targeted picking of specific …
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[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
… machine learning … of machine learning and artificial intelligence applications for different
+use cases enabled by future mobile communication systems. An overview of machine learning …
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[HTML] mdpi.com

[HTML][HTML] Predicting the onset of diabetes with machine learning methods

CY Chou, DY Hsu, CH Chou - Journal of Personalized Medicine, 2023 - mdpi.com
… After sorting out the complete data of the patients, this study used Microsoft Machine Learning
+Studio to train the models of various kinds of neural networks, and the prediction results …
Save Cite Cited by 138 Related articles All 8 versions Cached
[PDF] nih.gov

Applications of artificial intelligence, machine learning, and deep learning in nutrition: a systematic review

TPT Armand, KA Nfor, JI Kim, HC Kim - Nutrients, 2024 - pmc.ncbi.nlm.nih.gov
… A systematic literature review was conducted in this study regarding the applications of AI,
+machine learning, and deep learning techniques applied in nutrition sciences. A hybrid …
Save Cite Cited by 75 Related articles All 5 versions
[PDF] ametsoc.org

A machine learning explainability tutorial for atmospheric sciences

ML Flora, CK Potvin, A McGovern… - Artificial Intelligence for …, 2024 - journals.ametsoc.org
… With increasing interest in explaining machine learning (ML) models, this paper synthesizes
+… of machine learning explainability in the atmospheric and other environmental sciences. …
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[PDF] nsf.gov

Bridging the complexity gap in computational heterogeneous catalysis with machine learning

T Mou, HS Pillai, S Wang, M Wan, X Han… - Nature Catalysis, 2023 - nature.com
… developments and applications of machine learning to narrow and, … and challenges of
+machine learning for the automated … We discuss machine learning algorithms in alleviating some …
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[PDF] arxiv.org

Chatgpt or human? detect and explain. explaining decisions of machine learning model for detecting short chatgpt-generated text

S Mitrović, D Andreoletti, O Ayoub - arXiv preprint arXiv:2301.13852, 2023 - arxiv.org
… In this paper, we study whether a machine learning model can be effectively trained to
+accurately distinguish between original human and seemingly human (that is, ChatGPT-generated…
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[PDF] yuktabpublisher.com

Enhancing Marketing, Sales, Innovation, and Financial Management Through Machine Learning

SKC Tulli - International Journal of Modern Computing, 2023 - yuktabpublisher.com
… Planning ahead for potential maintenance needs Proactive maintenance powered by artificial
+intelligence and machine learning is gaining traction in industries such as transportation …
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[HTML] mdpi.com

[HTML][HTML] Forecasting stock market prices using machine learning and deep learning models: A systematic review, performance analysis and discussion of implications

G Sonkavde, DS Dharrao, AM Bongale… - International Journal of …, 2023 - mdpi.com
… Hence, this review article presents recent state-of-the-art machine learning and deep
+learning techniques for stock price prediction. The salient contributions and uniqueness of this …
Save Cite Cited by 257 Related articles All 8 versions Cached
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[HTML][HTML] Fraud detection in healthcare claims using machine learning: A systematic review

A du Preez, S Bhattacharya, P Beling… - Artificial Intelligence in …, 2025 - Elsevier
… A wide variety of machine learning algorithms are highlighted in these … machine learning
+approaches remain dominant in this research area, the adoption of advanced deep learning …
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Shield attitude prediction based on Bayesian-LGBM machine learning

H Chen, X Li, Z Feng, L Wang, Y Qin, MJ Skibniewski… - Information …, 2023 - Elsevier
Effective shield attitude control is essential for the quality and safety of shield construction.
+The traditional shield attitude control method is manual control based on a driver's experience…
Save Cite Cited by 107 Related articles All 4 versions
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[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance

I Issah, O Appiah, P Appiahene, F Inusah - Decision analytics journal, 2023 - Elsevier
… , educational stakeholders, including the machine learning (ML) community, have taken an
+… This systematic literature review identifies various machine learning methods based on 84 …
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[PDF] sciencedirect.com

Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons

AF Psaros, X Meng, Z Zou, L Guo… - Journal of Computational …, 2023 - Elsevier
… on solving partial differential equations and learning operator mappings between infinite-…
+Further, to help facilitate the deployment of UQ in Scientific Machine Learning research and …
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[PDF] redalyc.org

[PDF][PDF] Techniques and applications of Machine Learning and Artificial Intelligence in education: a systematic review

W Forero-Corba, FN Bennasar - RIED-Revista Iberoamericana de …, 2024 - redalyc.org
… El Machine Learning es un campo de la … del Machine Learning e inteligencia artificial en
+Educación. La falta de conocimientos y habilidades de los educadores en Machine Learning e …
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[HTML] sciencedirect.com

[HTML][HTML] Condition monitoring using machine learning: A review of theory, applications, and recent advances

O Surucu, SA Gadsden, J Yawney - Expert Systems with Applications, 2023 - Elsevier
… Hence, based on monitoring the condition of the machinery, predictive maintenance can
+minimize machine downtime and potential losses. Throughout the field, machine learning (ML) …
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[HTML] acs.org

Machine learning aided design and optimization of thermal metamaterials

C Zhu, EA Bamidele, X Shen, G Zhu, B Li - Chemical Reviews, 2024 - ACS Publications
… were previously intractable, for example, the machine learning (ML) has been able to predict
+… Then, we present a series of case studies showcasing the application of machine learning …
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[HTML][HTML] Using machine learning to predict antimicrobial resistance―a literature review

A Sakagianni, C Koufopoulou, G Feretzakis, D Kalles… - Antibiotics, 2023 - mdpi.com
… Machine learning (ML) algorithms are increasingly applied in … Both supervised and
+unsupervised machine learning tools … existing literature on machine learning and artificial …
Save Cite Cited by 130 Related articles All 9 versions Cached

Quantum machine learning in healthcare: Developments and challenges

S Rani, PK Pareek, J Kaur, M Chauhan… - … on Integrated Circuits …, 2023 - ieeexplore.ieee.org
… , quantum machine learning framework, and the various applications of quantum machine
+learning in … faced in the deployment of quantum machine learning algorithms in the domain of …
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[HTML][HTML] Machine learning meets cancer

EV Varlamova, MA Butakova, VV Semyonova… - Cancers, 2024 - mdpi.com
… The role of machine learning (a part of artificial intelligence—AI) in the diagnosis and …
+This review describes recent applications of machine learning in oncology, including medical …
Save Cite Cited by 27 Related articles All 8 versions Cached
+================================================================================ +machine learning - Google Scholar
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[HTML][HTML] Chronic kidney disease prediction based on machine learning algorithms

MA Islam, MZH Majumder, MA Hussein - Journal of pathology informatics, 2023 - Elsevier
… of several different machine learning approaches for providing … with the help of machine
+learning and predictive analytics, … Twelve different machine learning-based classifiers have …
Save Cite Cited by 245 Related articles All 7 versions

Machine learning and artificial intelligence in research and healthcare

L Rubinger, A Gazendam, S Ekhtiari, M Bhandari - Injury, 2023 - Elsevier
… Under the umbrella of AI is machine learning (ML). Machine learning is the process of
+building or learning statistical models using previously observed real world data to predict …
Save Cite Cited by 190 Related articles All 5 versions
[PDF] science.orgFull View

Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence

W Fang, Y Chen, J Ding, Z Yu, T Masquelier… - Science …, 2023 - science.org
… of real neural systems but are not designed to solve machine learning tasks. Nengo (80), …
+machine learning and reinforcement learning algorithms but still lack the modern deep learning …
Save Cite Cited by 383 Related articles All 12 versions
[PDF] researchgate.net

[PDF][PDF] Machine Learning in Credit Risk Assessment: Analyzing How Machine Learning Models Are

TR Gatla - International Journal of Emerging Technologies and …, 2023 - researchgate.net
… of machine learning in credit risk assessment, focusing on the data pre-processing aspects
+… of machine learning models. The report begins with an overview of machine learning …
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[PDF] springer.com

Healthcare predictive analytics using machine learning and deep learning techniques: a survey

M Badawy, N Ramadan, HA Hefny - Journal of Electrical Systems and …, 2023 - Springer
… the role of systems depending on machine learning and deep learning in the creation of steps
+… survey of existing machine learning and deep learning approaches utilized in healthcare …
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[PDF] tandfonline.com

Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach

B Zhang, H Shi, H Wang - Journal of multidisciplinary healthcare, 2023 - Taylor & Francis
… Citation27 This is accomplished by AI using deep learning methods and machine learning
+techniques. These systems can identify behavioral patterns and generate their own reasoning…
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The Emergence of Artificial Intelligence and Machine Learning in Contemporary Business Management

P William, A Panicker, A Falah… - 2023 4th …, 2023 - ieeexplore.ieee.org
… In this article, the fundamental concepts behind machine learning are deconstructed, … to
+machine learning. In addition to this, the paper highlights the benefits of using machine learning, …
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[PDF] arxiv.org

Machine learning robustness: A primer

HB Braiek, F Khomh - Trustworthy AI in Medical Imaging, 2025 - Elsevier
This chapter explores the foundational concept of robustness in Machine Learning (ML) and
+its integral role in establishing trustworthiness in Artificial Intelligence (AI) systems. The …
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[PDF] journals4promo.com

Hyperparameter tuning in machine learning: A comprehensive review

J a Ilemobayo, O Durodola… - Journal of …, 2024 - catalog.journals4promo.com
… machine learning … learning rate and batch size on model training. Various tuning methods
+are examined, including grid search, random search, Bayesian optimization, and meta-learning…
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[HTML][HTML] Human–robot collaboration and machine learning: A systematic review of recent research

F Semeraro, A Griffiths, A Cangelosi - Robotics and Computer-Integrated …, 2023 - Elsevier
… Machine learning is a recent approach to build the cognitive … of the use of machine learning
+techniques in the context of … on different families of machine learning algorithms and their …
Save Cite Cited by 316 Related articles All 8 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] arxiv.org

Phase transition study meets machine learning

YG Ma, LG Pang, R Wang, K Zhou - Chinese Physics Letters, 2023 - iopscience.iop.org
In recent years, machine learning (ML) techniques have emerged as powerful tools for studying
+many-body complex systems, and encompassing phase transitions in various domains …
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A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior

E Yaghoubi, E Yaghoubi, A Khamees, D Razmi… - … Applications of Artificial …, 2024 - Elsevier
Abstract Machine learning (ML) and deep learning (DL) have enabled algorithms to autonomously
+acquire knowledge from data, facilitating predictive and decision-making capabilities …
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[HTML] mdpi.com

[HTML][HTML] A review of machine learning techniques in agroclimatic studies

D Tamayo-Vera, X Wang, M Mesbah - Agriculture, 2024 - mdpi.com
… The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic …
+advocate for a strategic pivot toward Automated Machine Learning (AutoML) frameworks. AutoML …
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[PDF] wiley.com

Machine learning in computational histopathology: Challenges and opportunities

M Cooper, Z Ji, RG Krishnan - Genes, Chromosomes and …, 2023 - Wiley Online Library
… of machine learning, and deep learning in particular, a powerful set of tools for the analysis
+of histopathological images. Machine learning … the various machine learning techniques that …
Save Cite Cited by 44 Related articles All 2 versions
[HTML] mdpi.com

[HTML][HTML] Forecasting renewable energy generation with machine learning and deep learning: Current advances and future prospects

NE Benti, MD Chaka, AG Semie - Sustainability, 2023 - mdpi.com
… This section discusses the various machine learning techniques utilized for renewable … main
+categories of machine learning algorithms, supervised and unsupervised learning, and their …
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[PDF] sciencedirect.com

Machine learning for high-entropy alloys: Progress, challenges and opportunities

X Liu, J Zhang, Z Pei - Progress in Materials Science, 2023 - Elsevier
… Machine learning (ML) sheds light on these problems with its capability to represent … Examples
+of machine-learned phase-formation rules and order parameters are used to illustrate the …
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[HTML][HTML] Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models

F Alwahedi, A Aldhaheri, MA Ferrag, A Battah… - Internet of Things and …, 2024 - Elsevier
… Machine Learning (ML), a rapidly advancing technology, has shown considerable promise
+… methodologies, and challenges in applying machine learning for cyber threat detection in IoT …
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[HTML][HTML] Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician

AA Theodosiou, RC Read - Journal of Infection, 2023 - Elsevier
Background Artificial intelligence (AI), machine learning and deep learning (including
+generative AI) are increasingly being investigated in the context of research and management of …
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[PDF] science.org

Mechanism for feature learning in neural networks and backpropagation-free machine learning models

A Radhakrishnan, D Beaglehole, P Pandit, M Belkin - Science, 2024 - science.org
… is absent in standard machine learning models, including kernel machines, our result implies
+that AGOP can be used to enable task-relevant feature learning in these standard models …
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[PDF] researchgate.net

Classification and prediction of student performance data using various machine learning algorithms

H Pallathadka, A Wenda, E Ramirez-Asís… - Materials today …, 2023 - Elsevier
… However, a multi-strategy machine learning technique can overcome the shortcomings of …
+of various machine learning algorithms is shown below in Fig. 3. Machine learning algorithms …
Save Cite Cited by 278 Related articles All 2 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] sciencedirect.com

Integrating physics-based modeling with machine learning for lithium-ion batteries

H Tu, S Moura, Y Wang, H Fang - Applied energy, 2023 - Elsevier
… machine learning to achieve high-precision modeling for LiBs. The frameworks are characterized
+by informing the machine learning … between physics and machine learning. Based on …
Save Cite Cited by 146 Related articles All 11 versions
[PDF] arxiv.org

Machine learning for practical quantum error mitigation

H Liao, DS Wang, I Sitdikov, C Salcedo, A Seif… - Nature Machine …, 2024 - nature.com
… machine learning for quantum error mitigation (ML-QEM) drastically reduces the cost of
+mitigation. We benchmarked ML-QEM using a variety of machine learning … machine learning can …
Save Cite Cited by 75 Related articles All 9 versions

Application of machine learning in optical fiber sensors

Y Zhou, Y Zhang, Q Yu, L Ren, Q Liu, Y Zhao - Measurement, 2024 - Elsevier
In recent years, with the increasing demand for intelligent society, intelligent photonics has
+developed rapidly. Machine learning (ML), as a subset of artificial intelligence (AI), has …
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[HTML] sciencedirect.com

[HTML][HTML] Democratizing artificial intelligence: How no-code AI can leverage machine learning operations

L Sundberg, J Holmström - Business Horizons, 2023 - Elsevier
Organizations are increasingly seeking to generate value and insights from their data by
+integrating advances in artificial intelligence (AI) (eg, machine learning (ML) systems) into their …
Save Cite Cited by 147 Related articles All 6 versions
[PDF] springer.com

Machine learning heralding a new development phase in molecular dynamics simulations

E Prašnikar, M Ljubič, A Perdih, J Borišek - Artificial intelligence review, 2024 - Springer
… sampling of conformational space designed without the implementation of machine learning
+(ML). Next, we discuss most of the deep learning (DL) - based architectures to enhance the …
Save Cite Cited by 63 Related articles All 7 versions
[PDF] academia.edu

[PDF][PDF] The role of machine learning in transforming business intelligence

JP Bharadiya - International Journal of Computing and Artificial …, 2023 - academia.edu
Abstract Machine Learning (ML) has emerged as a transformative force in the field of Business
+Intelligence (BI), revolutionizing the way organizations extract insights from vast amounts …
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[HTML] sciencedirect.com

[HTML][HTML] MRI brain tumor detection using deep learning and machine learning approaches

S Anantharajan, S Gunasekaran, T Subramanian - Measurement …, 2024 - Elsevier
… the emerging machine learning field of “Deep Learning (DL)" has grown significantly. It was
+extensively used in numerous applications and shown to be an effective Machine Learning (…
Save Cite Cited by 139 Related articles All 2 versions
[PDF] ssrn.com

Artificial intelligence, machine learning, deep learning, and blockchain in financial and banking services: A comprehensive review

M Paramesha, N Rane, J Rane - … Learning, Deep Learning, and …, 2024 - papers.ssrn.com
… Machine learning and deep learning are improving … In conclusion, machine learning and
+deep learning are leading to … Table -1: Machine learning and deep learning in finance and …
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[PDF] springer.com

High-energy nuclear physics meets machine learning

WB He, YG Ma, LG Pang, HC Song, K Zhou - Nuclear Science and …, 2023 - Springer
Although seemingly disparate, high-energy nuclear physics (HENP) and machine learning (ML)
+have begun to merge in the last few years, yielding interesting results. It is worthy to …
Save Cite Cited by 96 Related articles All 8 versions

Using machine-learning models to understand nonlinear relationships between land use and travel

J Cao, T Tao - Transportation Research Part D: Transport and …, 2023 - Elsevier
… The number of machine learning applications to explore the … and limitations of using machine
+learning approaches to reveal … derived from recent machine learning applications and call …
Save Cite Cited by 65 Related articles All 4 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] researchgate.net

[PDF][PDF] Machine learning software for optimizing SME social media marketing campaigns

WE Kedi, C Ejimuda, C Idemudia… - Computer Science & IT …, 2024 - researchgate.net
… This review paper explores the transformative role of machine learning … machine learning
+applications. The paper delves into the technical challenges of implementing machine learning…
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[PDF] iop.org

Quantum machine learning for image classification

A Senokosov, A Sedykh, A Sagingalieva… - Machine Learning …, 2024 - iopscience.iop.org
… This research addresses these challenges by introducing two quantum machine learning
+models … These models represent advancements in quantum machine learning research and …
Save Cite Cited by 157 Related articles All 5 versions
[PDF] ssrn.com

Machine learning and the implementable efficient frontier

TI Jensen, BT Kelly, S Malamud… - Swiss Finance Institute …, 2024 - papers.ssrn.com
… Pedersen (2013), the aim portfolio (21) can be simplified as shown in Propositon 8 in
+appendix, but we rely instead on machine learning procedures for the more general formulation. …
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[HTML] sciencedirect.com

[HTML][HTML] Fermentation design and process optimization strategy based on machine learning

ZZ Wang, DW Zeng, YF Zhu, MH Zhou, A Kondo… - BioDesign …, 2025 - Elsevier
… factors, so far, machine learning has been widely used in this … and process optimization
+based on machine learning. In the … Then, machine learning modelling is employed to simulate …
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Recent advances in machine learning‐assisted multiscale design of energy materials

B Mortazavi - Advanced Energy Materials, 2025 - Wiley Online Library
… This section is followed by a review of recent breakthroughs in deep learning … 2 Machine
+Learning Interatomic Potentials We begin by exploring the significance of machine learning …
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[HTML][HTML] SurvSHAP (t): time-dependent explanations of machine learning survival models

M Krzyziński, M Spytek, H Baniecki, P Biecek - Knowledge-Based Systems, 2023 - Elsevier
… Machine and deep learning survival models demonstrate similar or even improved time-to-event
+prediction capabilities compared to classical statistical learning … machine learning …
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[PDF] wiley.comFull View

Student performance prediction using machine learning algorithms

E Ahmed - Applied computational intelligence and soft …, 2024 - Wiley Online Library
… Kotsiantis et al. estimated student success using machine learning techniques, finding the
+… of machine learning for dropout student outcome prediction using various machine learning …
Save Cite Cited by 83 Related articles All 5 versions
[PDF] sciencedirect.com

Machine learning techniques for breast cancer prediction

V Nemade, V Fegade - Procedia Computer Science, 2023 - Elsevier
… All machine learning algorithm used in this paper are implemented on Google Colab that
+provide Jupyter Notebook environment using Scikit learn library available in python. Numpy, …
Save Cite Cited by 98 Related articles All 2 versions
[PDF] springer.com

MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques

S Saeedi, S Rezayi, H Keshavarz… - BMC Medical Informatics …, 2023 - Springer
… Among applied machine learning methods, Multilayer Perceptron (MLP) (28%) and K-Nearest …
+methods developed in this study and several machine learning methods (p-value < 0.05). …
Save Cite Cited by 490 Related articles All 11 versions
[PDF] tandfonline.com

Learning machine learning with young children: Exploring informal settings in an African context

IT Sanusi, K Sunday, SS Oyelere… - Computer Science …, 2024 - Taylor & Francis
… the teaching and learning of basic machine learning principles (Carney et al., … machine
+learning and further explore young children’s early encounters and insights into machine learning…
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[HTML] sciencedirect.com

[HTML][HTML] Recent advances in computational modeling of MOFs: From molecular simulations to machine learning

H Demir, H Daglar, HC Gulbalkan, GO Aksu… - Coordination Chemistry …, 2023 - Elsevier
… Leveraging data-driven science techniques can offer key benefits such as accelerated MOF
+design and discovery pathways via the establishment of machine learning (ML) models and …
Save Cite Cited by 162 Related articles All 2 versions
[PDF] nber.org

Machine learning as a tool for hypothesis generation

J Ludwig, S Mullainathan - The Quarterly Journal of Economics, 2024 - academic.oup.com
While hypothesis testing is a highly formalized activity, hypothesis generation remains largely
+informal. We propose a systematic procedure to generate novel hypotheses about human …
Save Cite Cited by 125 Related articles All 16 versions Library Search

Machine learning solutions for renewable energy systems: Applications, challenges, limitations, and future directions

Z Allal, HN Noura, O Salman, K Chahine - Journal of Environmental …, 2024 - Elsevier
… However, emerging advancements in Machine Learning (ML) technologies provide a
+glimmer of hope; these sophisticated algorithms can accurately predict the output of energy …
Save Cite Cited by 80 Related articles All 4 versions
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[HTML][HTML] Metallogenic prediction based on fractal theory and machine learning in Duobaoshan Area, Heilongjiang Province

J Chen, Z Zhao, Y Yang, C Li, Y Yin, X Zhao, N Zhao… - Ore Geology …, 2024 - Elsevier
… information with the predictive results of machine-learning models, we delineated eight …
+method involving fractal theory and machine-learning in mineral exploration, offering new …
Save Cite Cited by 42 Related articles All 3 versions
[PDF] sciencedirect.com

Improving soil moisture prediction with deep learning and machine learning models

FT Teshome, HK Bayabil, B Schaffer… - … and Electronics in …, 2024 - Elsevier
… This study was conducted to develop a deep learning regression network for sub-hourly SM
+prediction and compare its performance with traditional machine learning models, including …
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[PDF] 103.81.70.85

A comparative study of machine learning algorithms for detecting breast cancer

RH Khan, J Miah, MM Rahman… - 2023 IEEE 13th Annual …, 2023 - ieeexplore.ieee.org
… AI also adds machine learning which gives a good parallel model and … machine learning
+model which can predict breast cancer at an early stage and provide which machine learning …
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[PDF] acm.org

In-processing modeling techniques for machine learning fairness: A survey

M Wan, D Zha, N Liu, N Zou - ACM Transactions on Knowledge …, 2023 - dl.acm.org
… In the context of machine learning, unfairness often refers to … with fairness in the machine
+learning literature [61]. However, … In this article, fairness of a machine learning model is defined …
Save Cite Cited by 190 Related articles All 8 versions

Machine learning algorithms: features and applications

H Taherdoost - Encyclopedia of Data Science and Machine Learning, 2023 - igi-global.com
… There are various algorithms and classes of Machine Learning, but no one is free from
+limitations and … In this review, the most practical and popular algorithms of Machine Learning and …
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[HTML] mdpi.com

[HTML][HTML] Analysis of challenges and solutions of IoT in smart grids using AI and machine learning techniques: A review

T Mazhar, HM Irfan, I Haq, I Ullah, M Ashraf, TA Shloul… - Electronics, 2023 - mdpi.com
… The first section of this paper discusses the most common machine learning methods for
+forecasting building energy demand. The authors then discuss IoT and how it works, in addition …
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Predictions of steel price indices through machine learning for the regional northeast Chinese market

B Jin, X Xu - Neural computing and applications, 2024 - Springer
Projections of commodity prices have long been a significant source of dependence for
+investors and the government. This study investigates the challenging topic of forecasting the …
Save Cite Cited by 136 Related articles All 2 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] springer.com

Predicting potato crop yield with machine learning and deep learning for sustainable agriculture

ESM El-Kenawy, AA Alhussan, N Khodadadi, S Mirjalili… - Potato Research, 2025 - Springer
… discoveries in machine learning and deep learning provide … and multilayer perceptron that
+use machine learning, as well as … ), which are popular in deep learning models. These models …
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[HTML] mdpi.com

[HTML][HTML] Machine learning and AI technologies for smart wearables

KP Seng, LM Ang, E Peter, A Mmonyi - Electronics, 2023 - mdpi.com
… , deep reinforcement learning, and stacked autoencoder architectures. Our paper will focus
+on discussions for both classical machine learning approaches and recent deep learning …
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IoT security based on machine learning

RK Vanakamamidi, L Ramalingam… - … For Smart Nation …, 2023 - ieeexplore.ieee.org
… The purposes of this study are to examine the role of machine learning and deep learning in
+… been done utilizing different machine learning and deep learning models both singly and as …
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[HTML] mdpi.com

[HTML][HTML] Machine learning empowering drug discovery: Applications, opportunities and challenges

X Qi, Y Zhao, Z Qi, S Hou, J Chen - Molecules, 2024 - mdpi.com
… As the representative AI method, machine learning (ML), empowers machines to learn
+from existing data by using statistical approaches and make predictions, which can be further …
Save Cite Cited by 53 Related articles All 8 versions Cached
[PDF] acs.org

Toward an integrated machine learning model of a proteomics experiment

BA Neely, V Dorfer, L Martens, I Bludau… - Journal of proteome …, 2023 - ACS Publications
… be accessible to machine learning practitioners, as well as machine learning methods to …
+are essential in domains such as machine learning for education and calibration across the …
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[PDF] academianexusjournal.com

Machine Learning in Motion: Real-World Implementations and Future Possibilities

AS Shethiya - Academia Nexus Journal, 2023 - academianexusjournal.com
… This paper explores not only where machine learning is working today, but how it is working…
+It also looks toward future trends like federated learning, which enables decentralized model …
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[HTML] mdpi.com

[HTML][HTML] Twenty years of machine-learning-based text classification: A systematic review

A Palanivinayagam, CZ El-Bayeh, R Damaševičius - Algorithms, 2023 - mdpi.com
… employed machine learning … machine learning models, best accuracy, performance evaluation
+metrics, training and testing splitting methods, and comparisons among machine learning …
Save Cite Cited by 101 Related articles All 7 versions Cached
[PDF] ieee.org

An approach for crop prediction in agriculture: Integrating genetic algorithms and machine learning

T Mahmud, N Datta, R Chakma, UK Das, MT Aziz… - IEEE …, 2024 - ieeexplore.ieee.org
… Machine learning is recognized as a versatile approach for … , a powerful ensemble learning
+technique, to classify the class … By integrating genetic algorithms and machine learning …
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[HTML] mdpi.com

[HTML][HTML] Machine learning for optimising renewable energy and grid efficiency

BI Oladapo, MA Olawumi, FT Omigbodun - Atmosphere, 2024 - mdpi.com
… application of machine learning models to … machine learning in expediting the attainment
+of Net Zero emissions through optimising renewable energy systems [11,12]. Machine learning …
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[HTML] mdpi.com

[HTML][HTML] Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review

W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
… The use of machine learning and data-driven methods for … and challenges of using
+machine learning and data-driven … Next, the paper discusses the use of machine learning and …
Save Cite Cited by 177 Related articles All 5 versions Cached
+================================================================================ +machine learning - Google Scholar
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Page 28 of about 644,000 results (0.11 sec)

Advances and applications of machine learning and deep learning in environmental ecology and health

S Cui, Y Gao, Y Huang, L Shen, Q Zhao, Y Pan… - Environmental …, 2023 - Elsevier
Abstract Machine learning (ML) and deep learning (DL) possess excellent advantages in
+data analysis (eg, feature extraction, clustering, classification, regression, image recognition …
Save Cite Cited by 61 Related articles All 4 versions

Applications of machine learning techniques for enhancing nondestructive food quality and safety detection

Y Lin, J Ma, Q Wang, DW Sun - Critical Reviews in Food Science …, 2023 - Taylor & Francis
… -of-the-art machine learning techniques show great potential for … machine learning algorithms
+have their characteristics and applicability scenarios. Due to the nature of feature learning, …
Save Cite Cited by 176 Related articles All 5 versions
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[HTML][HTML] Forecasting solar energy production: A comparative study of machine learning algorithms

Y Ledmaoui, A El Maghraoui, M El Aroussi, R Saadane… - Energy Reports, 2023 - Elsevier
… This paper presents a complete and comparative study of solar energy production forecasting
+in Morocco using six machine learning (ML) algorithms : Support Vector Regression (SVR)…
Save Cite Cited by 125 Related articles All 3 versions
[PDF] ieee.org

Personalized adaptive learning technologies based on machine learning techniques to identify learning styles: A systematic literature review

SG Essa, T Celik, NE Human-Hendricks - IEEE Access, 2023 - ieeexplore.ieee.org
… field of machine learning (ML) to tackle the challenge of personalising e-learning by mapping
+… to optimise the individual learning process and enhance the elearning experience [9], [10]. …
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[HTML] mdpi.com

[HTML][HTML] A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges

Q An, S Rahman, J Zhou, JJ Kang - Sensors, 2023 - mdpi.com
… of machine learning … machine learning algorithms in healthcare applications. After a
+comprehensive overview and investigation of supervised and unsupervised machine learning …
Save Cite Cited by 306 Related articles All 13 versions Cached

Artificial intelligence and machine learning for drug safety

YM Al-Worafi - Technology for drug safety: Current status and future …, 2023 - Springer
… This chapter has discussed the use of AI and machine learning in drug safety. The use of
+AI and machine learning in drug safety holds great promise for improving patient safety, …
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[HTML][HTML] Compressive strength of concrete material using machine learning techniques

S Paudel, A Pudasaini, RK Shrestha… - Cleaner Engineering and …, 2023 - Elsevier
… The paper presents a study on the various investigation of machine learning (ML) algorithms
+to … The study highlights the effectiveness of machine learning techniques, particularly the …
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[HTML] mdpi.com

[HTML][HTML] Application of machine learning in water resources management: a systematic literature review

F Ghobadi, D Kang - Water, 2023 - mdpi.com
In accordance with the rapid proliferation of machine learning (ML) and data management,
+ML applications have evolved to encompass all engineering disciplines. Owing to the …
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[PDF] e3s-conferences.org

Machine learning to identify key success indicators

V Nelyub, A Glinscaya, V Kukartsev… - E3S Web of …, 2023 - e3s-conferences.org
… The purpose of this paper is to obtain machine learning models that will help in … of learning
+and other important aspects of the educational process [3]. The use of machine learning as a …
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[PDF] nature.com

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning

J Yang, AAS Soltan, DW Eyre, DA Clifton - Nature Machine Intelligence, 2023 - nature.com
… As models based on machine learning continue to be … Here we introduce a reinforcement
+learning framework capable … state-of-the-art machine learning methods. We performed external …
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[HTML][HTML] Recent trends of machine learning applied to multi-source data of medicinal plants

Y Zhang, Y Wang - Journal of Pharmaceutical Analysis, 2023 - Elsevier
… intelligence, machine learning can … machine learning algorithms and discusses their
+application in multi-source data analysis of medicinal plants. The combination of machine learning …
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[HTML] mdpi.com

[HTML][HTML] A robust chronic kidney disease classifier using machine learning

D Swain, U Mehta, A Bhatt, H Patel, K Patel, D Mehta… - Electronics, 2023 - mdpi.com
… In such a case, machine learning can be used as an effective … Machine learning is the process
+of training a machine using … This work aims at developing a machine-learning model that …
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[PDF] springer.com

Research trends in deep learning and machine learning for cloud computing security

YI Alzoubi, A Mishra, AE Topcu - Artificial intelligence review, 2024 - Springer
… security utilizing machine learning and deep learning, … machine learning and deep learning
+for cloud security. The findings of this paper reveal that deep learning and machine learning …
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[PDF] researchgate.net

[PDF][PDF] Machine learning for green hydrogen production

KE Bassey, C Ibegbulam - Computer Science & IT Research …, 2023 - researchgate.net
… This study explores the application of machine learning (ML) techniques to develop AI-driven …
+Machine learning models can analyze complex datasets generated during the electrolysis …
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[PDF] acm.org

Application of machine learning optimization in cloud computing resource scheduling and management

Y Zhang, B Liu, Y Gong, J Huang, J Xu… - Proceedings of the 5th …, 2024 - dl.acm.org
… By leveraging machine learning optimization techniques, particularly deep reinforcement
+learning, … Overall, the integration of deep learning with cloud computing scheduling holds great …
Save Cite Cited by 107 Related articles All 3 versions
[PDF] sciencedirect.com

Diabetes prediction using supervised machine learning

ME Febrian, FX Ferdinan, GP Sendani… - Procedia Computer …, 2023 - Elsevier
… Because of that we can use machine learning to prevent the death by making an artificial …
+health attributes in the dataset using supervised machine learning. According to the results of …
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[PDF] rsc.org

Leveraging machine learning in porous media

M Delpisheh, B Ebrahimpour, A Fattahi… - Journal of Materials …, 2024 - pubs.rsc.org
The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
+has had a significant impact on engineering and the fundamental sciences, resulting in …
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[PDF] nsf.gov

Survey of machine learning for software-assisted hardware design verification: Past, present, and prospect

N Wu, Y Li, H Yang, H Chen, S Dai, C Hao… - ACM Transactions on …, 2024 - dl.acm.org
… Driven by the push from the desired verification productivity boost and the pull from leap-ahead
+capabilities of machine learning (ML), recent years have witnessed the emergence of …
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[PDF] manchester.ac.uk

Organic reaction mechanism classification using machine learning

J Burés, I Larrosa - Nature, 2023 - nature.com
… To fully explore the potential of our machine learning model, we investigated the effect of …
+4: Effect of error and amount of data points in the performance of the machine learning …
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[PDF] researchgate.net

[PDF][PDF] Harnessing machine learning in business analytics for enhanced decision-making

RH Chowdhury - World Journal of Advanced Engineering …, 2024 - researchgate.net
… This research investigates the role of machine learning in … The study explores the theoretical
+foundations of machine learning and … The findings reveal that machine learning significantly …
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[PDF] pnas.orgFull View

Machine learning meets physics: A two-way street

H Levine, Y Tu - Proceedings of the National Academy of Sciences, 2024 - pnas.org
… 2, we illustrate the key components and the workflow of machine learning such as neural-network-based
+deep learning, which we call the “Central Dogma” of Machine Learning. The …
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Machine-learning-enabled discrete element method: The extension to three dimensions and computational issues

S Huang, P Wang, Z Lai, ZY Yin, L Huang… - Computer Methods in …, 2024 - Elsevier
… have introduced a machine learning-enabled approach … extends the application of
+machine learning-enabled DEM to … The efficacy of the machine learning-enabled 3D DEM is …
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[HTML][HTML] A review of machine learning and deep learning for object detection, semantic segmentation, and human action recognition in machine and robotic vision

N Manakitsa, GS Maraslidis, L Moysis, GF Fragulis - Technologies, 2024 - mdpi.com
… of the key elements that constitute machine vision and the … the broad field of machine and
+deep learning in recent years, … machine learning and deep learning methods in machine/…
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[PDF] springer.com

Machine learning in crime prediction

K Jenga, C Catal, G Kar - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
… machine learning-… machine learning papers that predict crime. We formulate eight research
+questions and observe that the majority of the papers used a supervised machine learning …
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[HTML][HTML] Assessing the influence of sugarcane bagasse ash for the production of eco-friendly concrete: Experimental and machine learning approaches

MHR Sobuz, SD Datta, JA Jabin, FS Aditto… - Case Studies in …, 2024 - Elsevier
… with machine learning approaches. Therefore, this study aims to investigate fresh, mechanical
+and microstructural characteristics and machine learning … Different machine learning (ML) …
Save Cite Cited by 90 Related articles All 2 versions
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[HTML][HTML] Machine learning applications for carbon emission estimation

HS Al Nuaimi, A Acquaye, A Mayyas - Resources, Conservation & …, 2025 - Elsevier
In the context of escalating global climate change concerns, accurately estimating carbon
+emissions is crucial. This paper conducts a systematic literature review (SLR) on the …
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[HTML][HTML] Application of machine learning approaches for land cover monitoring in northern Cameroon

YG Yuh, W Tracz, HD Matthews, SE Turner - Ecological informatics, 2023 - Elsevier
Abstract Machine learning (ML) models are a leading analytical technique used to monitor,
+map and quantify land use and land cover (LULC) and its change over time. Models such as k…
Save Cite Cited by 126 Related articles All 3 versions

A causal perspective on dataset bias in machine learning for medical imaging

C Jones, DC Castro, F De Sousa Ribeiro… - Nature Machine …, 2024 - nature.com
… There remains a great opportunity for machine learning to improve outcomes in healthcare.
+… should play a key role in future analyses of machine learning models for medical imaging. …
Save Cite Cited by 57 Related articles All 2 versions
[PDF] springer.com

Advanced machine learning techniques for cardiovascular disease early detection and diagnosis

NA Baghdadi, SM Farghaly Abdelaliem, A Malki… - Journal of Big Data, 2023 - Springer
… Therefore, the incorporation of machine learning methods holds significant promise in the …
+novel, robust, effective, and efficient machine learning algorithms, specifically designed for the …
Save Cite Cited by 116 Related articles All 8 versions
[PDF] arxiv.org

A survey for solving mixed integer programming via machine learning

J Zhang, C Liu, X Li, HL Zhen, M Yuan, Y Li, J Yan - Neurocomputing, 2023 - Elsevier
… integration of machine learning and MIP with detailed discussions on related learning-based …
+Finally, we propose the outlook for learning-based MIP solvers, the direction toward more …
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+================================================================================ +machine learning - Google Scholar
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[PDF] tandfonline.com

Quantum machine learning: from physics to software engineering

A Melnikov, M Kordzanganeh, A Alodjants… - Advances in Physics …, 2023 - Taylor & Francis
… We also illustrate how machine learning can be used both to … can be enhanced by applying
+machine learning to fundamental and … of machine learning solutions using quantum software. …
Save Cite Cited by 139 Related articles All 5 versions

Diagnosis of diabetes using machine learning algorithms

FA Khaleel, AM Al-Bakry - Materials Today: Proceedings, 2023 - Elsevier
… After preparing the data for modeling, we predict diabetes mellitus using three common
+machine learning classification algorithms. This section summarizes the three machine learning …
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[PDF] researchgate.net

[PDF][PDF] Integrating AI and machine learning with UVM in semiconductor design

M Vaithianathan, M Patil, SF Ng… - ESP International Journal …, 2024 - researchgate.net
… h) Deep Learning: Deep learning is a subfield of machine learning which uses artificial
+neural networks with multiple layers, also known as deep neural networks. It is good at handling …
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[HTML] mdpi.com

[HTML][HTML] Hyperparameter search for machine learning algorithms for optimizing the computational complexity

YA Ali, EM Awwad, M Al-Razgan, A Maarouf - Processes, 2023 - mdpi.com
… For machine learning algorithms, fine-tuning hyperparameters is a computational challenge
+… using the machine learning model known as Support Vector Machine and optimizing it using …
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Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art

AA Montevechi, R de Carvalho Miranda… - … Applications of Artificial …, 2024 - Elsevier
… Advances in Machine Learning (ML) now allow models to handle larger datasets with greater
+predictive power. Algorithms such as Decision Trees (DT), Support Vector Machines (SVM)…
Save Cite Cited by 31 Related articles All 2 versions

Multi-temporal image analysis of wetland dynamics using machine learning algorithms

RW Aslam, I Naz, H Shu, J Yan, A Quddoos… - Journal of …, 2024 - Elsevier
… Recent advances in machine learning, time series earth observation data, and cloud … To
+guide conservation strategies, the research integrates satellite data analytics, machine learning …
Save Cite Cited by 58 Related articles All 4 versions

Optimization of water quality index models using machine learning approaches

F Ding, W Zhang, S Cao, S Hao, L Chen, X Xie, W Li… - Water research, 2023 - Elsevier
… We determined the combined weights based on machine learning and game theory to … The
+weight CW AL was combined by AHP and machine learning (LightGBM). CW AL was judged …
Save Cite Cited by 122 Related articles All 4 versions
[PDF] arxiv.org

Better than classical? the subtle art of benchmarking quantum machine learning models

J Bowles, S Ahmed, M Schuld - arXiv preprint arXiv:2403.07059, 2024 - arxiv.org
… machine learning models on 6 binary classification tasks used to create 160 individual datasets.
+We find that overall, out-of-the-box classical machine learning … tum machine learning, a …
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[PDF] springer.com

Machine learning for dementia prediction: a systematic review and future research directions

A Javeed, AL Dallora, JS Berglund, A Ali, L Ali… - Journal of medical …, 2023 - Springer
… Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully provided
+… to 2022 using the keywords dementia, machine learning, feature selection, data modalities, …
Save Cite Cited by 168 Related articles All 12 versions
[PDF] semanticscholar.org

[PDF][PDF] An intrusion detection system for sdn using machine learning

G Logeswari, S Bose, T Anitha - Intelligent Automation & …, 2023 - pdfs.semanticscholar.org
… Machine learning techniques have become an essential component of attack security
+measures. These machine learning-… [7] suggested a machine learning-based DDoS defense …
Save Cite Cited by 139 Related articles All 2 versions View as HTML
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[PDF] researchgate.net

Multiple disease prediction using Machine learning algorithms

K Arumugam, M Naved, PP Shinde… - Materials today …, 2023 - Elsevier
… machine learning techniques with physician expertise [9]. Data mining and machine learning
+… Several studies have been conducted to explore the use of machine learning in terms of …
Save Cite Cited by 253 Related articles All 2 versions
[PDF] oup.com

Fusion of finite element and machine learning methods to predict rock shear strength parameters

D Zhu, B Yu, D Wang, Y Zhang - Journal of Geophysics and …, 2024 - academic.oup.com
… data-driven attributes of machine learning methods, this study … are predicted using machine
+learning models optimized by … ), and light gradient boosting machine. The predicted value of …
Save Cite Cited by 116 Related articles All 5 versions
[PDF] arxiv.org

Machine learning in nuclear physics at low and intermediate energies

W He, Q Li, Y Ma, Z Niu, J Pei, Y Zhang - Science China Physics …, 2023 - Springer
Abstract Machine learning (ML) is becoming a new paradigm for scientific research in various
+research fields due to its exciting and powerful capability of modeling tools used for big-…
Save Cite Cited by 112 Related articles All 7 versions
[HTML] mdpi.com

[HTML][HTML] Intrusion detection system using feature extraction with machine learning algorithms in IoT

D Musleh, M Alotaibi, F Alhaidari, A Rahman… - Journal of Sensor and …, 2023 - mdpi.com
… Machine learning (ML) is one of the promising techniques as a smart IDS in different areas,
+… learning models, such as VGG-16 and DenseNet. Additionally, several machine learning …
Save Cite Cited by 171 Related articles All 7 versions Cached

Tackling prediction uncertainty in machine learning for healthcare

M Chua, D Kim, J Choi, NG Lee… - Nature Biomedical …, 2023 - nature.com
… Predictive machine-learning systems often do not convey the degree of confidence in the …
+machine-learning-enabled automation to substantially impact healthcare, machine-learning …
Save Cite Cited by 105 Related articles All 4 versions
[PDF] acm.org

Graph machine learning in the era of large language models (llms)

S Wang, J Huang, Z Chen, Y Song, W Tang… - ACM Transactions on …, 2025 - dl.acm.org
… Machine Learning and further exploration of LLMs for Graph ML; (2) we present a more
+comprehensive and fine-grained taxonomy of recent advancements of Graph ML in the era of …
Save Cite Cited by 53 Related articles All 5 versions
[PDF] researchgate.net

Distinguishing human-written and ChatGPT-generated text using machine learning

H Alamleh, AAS AlQahtani… - 2023 Systems and …, 2023 - ieeexplore.ieee.org
… This study seeks to evaluate the effectiveness of machine learning … We then trained and
+evaluated several machine learning … The use of machine learning algorithms for detecting text …
Save Cite Cited by 70 Related articles All 2 versions
[PDF] asme.org

Recent advances and applications of machine learning in experimental solid mechanics: A review

H Jin, E Zhang, HD Espinosa - Applied …, 2023 - asmedigitalcollection.asme.org
… 2 Machine Learning Framework for Experimental Solid Mechanics Machine learning …
+supervised learning, unsupervised learning, and reinforcement learning (RL). In supervised …
Save Cite Cited by 122 Related articles All 8 versions

Applications of machine learning in real-time control systems: a review

X Zhao, Y Sun, Y Li, N Jia, J Xu - Measurement Science and …, 2024 - iopscience.iop.org
… to systematically establish the connection between machine learning and RTCS. In this …
+machine learning, to summarize and discuss the research areas of applying machine learning …
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[PDF] wiley.comFull View

Global models and predictions of plant diversity based on advanced machine learning techniques

L Cai, H Kreft, A Taylor, P Denelle, J Schrader… - New …, 2023 - Wiley Online Library
… Our findings illustrate that machine learning methods applied to large distribution and
+environmental datasets help to disentangle underlying complex and interacting associations …
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[HTML][HTML] A review of physics-informed machine learning in fluid mechanics

P Sharma, WT Chung, B Akoush, M Ihme - Energies, 2023 - mdpi.com
Physics-informed machine-learning (PIML) enables the integration of domain knowledge with
+machine learning (ML) algorithms, which results in higher data efficiency and more stable …
Save Cite Cited by 178 Related articles All 8 versions Cached
[PDF] springer.com

On the analyses of medical images using traditional machine learning techniques and convolutional neural networks

S Iqbal, A N. Qureshi, J Li, T Mahmood - Archives of Computational …, 2023 - Springer
… Recently, different interesting and inspiring ideas of Deep Learning (… This survey focuses
+on internal taxonomy of deep learning, … , applications and current challenges of deep learning. …
Save Cite Cited by 189 Related articles All 6 versions
[PDF] mattmcdermott.me

Chemical reaction networks and opportunities for machine learning

M Wen, EWC Spotte-Smith, SM Blau… - Nature Computational …, 2023 - nature.com
… To capture increasingly complex phenomena, CRNs can be leveraged alongside data-driven
+methods and machine learning (ML). In this Perspective, we assess the diverse strategies …
Save Cite Cited by 143 Related articles All 9 versions

Advances in machine learning screening of food bioactive compounds

Y Zhang, X Bao, Y Zhu, Z Dai, Q Shen, Y Xue - Trends in Food Science & …, 2024 - Elsevier
… Machine learning (ML) techniques, offer an efficient and cost-effective means to screen
+potential bioactive compounds, but their application and research in the food field are limited. …
Save Cite Cited by 34 Related articles

Analyze the Quality of Wine Based on Machine Learning Approach

K Sravan, L Gunakar Rao, K Ramineni… - … Conference on Data …, 2023 - Springer
… Machine learning techniques have been widely applied in … networks (ANN), and deep learning,
+to predict wine quality based on … Our research involved the utilization of machine learning …
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[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review

L Jin, X Zhai, K Wang, K Zhang, D Wu, A Nazir, J Jiang… - Materials & Design, 2024 - Elsevier
… and the application of machine learning techniques is … machine learning and digital
+twin-assisted AM. On one hand, we discuss the research domain and highlight the machine-learning …
Save Cite Cited by 113 Related articles All 3 versions
[PDF] springer.com

A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease

AD Arya, SS Verma, P Chakarabarti, T Chakrabarti… - Brain Informatics, 2023 - Springer
… This study presents a statistical analysis of the different machine learning and deep
+learning models proposed by researchers, along with the various modalities employed. …
Save Cite Cited by 144 Related articles All 13 versions
[PDF] nature.com

FuXi: a cascade machine learning forecasting system for 15-day global weather forecast

L Chen, X Zhong, F Zhang, Y Cheng, Y Xu… - npj climate and …, 2023 - nature.com
Over the past few years, the rapid development of machine learning (ML) models for weather
+forecasting has led to state-of-the-art ML models that have superior performance compared …
Save Cite Cited by 218 Related articles All 9 versions
[PDF] springer.com

Machine learning in precision diabetes care and cardiovascular risk prediction

EK Oikonomou, R Khera - Cardiovascular Diabetology, 2023 - Springer
… Artificial intelligence and machine learning are driving a paradigm shift in medicine, … In this
+comprehensive review of machine learning applications in the care of patients with diabetes …
Save Cite Cited by 121 Related articles All 11 versions

A comparative study on student performance prediction using machine learning

Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
… compare existing machine learning methods in educational data… machine learning methods
+in different application scenarios. Specifically, seven parameter-optimized machine learning …
Save Cite Cited by 85 Related articles All 4 versions
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[HTML][HTML] Application of deep learning and machine learning models to improve healthcare in sub-Saharan Africa: Emerging opportunities, trends and implications

E Mbunge, J Batani - Telematics and Informatics Reports, 2023 - Elsevier
… Deep learning and machine learning techniques present unmatched opportunities to …
+a comprehensive review of deep learning and machine learning models deployed in SSA to …
Save Cite Cited by 62 Related articles All 4 versions

A comprehensive review of machine learning‐based methods in landslide susceptibility mapping

S Liu, L Wang, W Zhang, Y He, S Pijush - Geological Journal, 2023 - Wiley Online Library
… In a more rigorous situation when there is very limited data, transfer learning-based … on
+machine learning methods, introduces and compares the commonly used machine learning …
Save Cite Cited by 155 Related articles All 3 versions
[PDF] nih.gov

AI and machine learning ethics, law, diversity, and global impact

K Drabiak, S Kyzer, V Nemov… - The British journal of …, 2023 - academic.oup.com
Artificial intelligence (AI) and its machine learning (ML) algorithms are offering new promise
+for personalized biomedicine and more cost-effective healthcare with impressive technical …
Save Cite Cited by 63 Related articles All 5 versions
[PDF] arxiv.org

A survey and taxonomy of loss functions in machine learning

L Ciampiconi, A Elwood, M Leonardi… - arXiv preprint arXiv …, 2023 - arxiv.org
… Most state-of-the-art machine learning techniques revolve around the optimisation of loss …
+essential loss functions for both beginner and advanced machine learning practitioners. …
Save Cite Cited by 97 Related articles All 4 versions View as HTML
[PDF] sciencedirect.com

Machine learning approaches in stock market prediction: A systematic literature review

LN Mintarya, JNM Halim, C Angie, S Achmad… - Procedia Computer …, 2023 - Elsevier
… machine (SVM) are two algorithms that are widely used. Each algorithm has its way of learning
+… The main object of this paper is to review relevant works about machine learning (ML) …
Save Cite Cited by 155 Related articles All 3 versions
[PDF] springer.com

A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application

M Mokoatle, V Marivate, D Mapiye, R Bornman… - BMC …, 2023 - Springer
… that have been applied to develop machine learning algorithms that detect cancer is …
+SBERT and SimCSE will then be sent to machine learning algorithms (XGBoost, Random Forest, …
Save Cite Cited by 48 Related articles All 15 versions
[PDF] nature.com

Graph machine learning for integrated multi-omics analysis

NA Valous, F Popp, I Zörnig, D Jäger… - British journal of …, 2024 - nature.com
… graph machine learning approaches in the context of data-driven biomedical research. …
+machine learning It is widely acknowledged that machine learning and especially deep learning …
Save Cite Cited by 59 Related articles All 8 versions

Exploring the artificial intelligence anxiety and machine learning attitudes of teacher candidates

S Hopcan, G Türkmen, E Polat - Education and Information Technologies, 2024 - Springer
… intelligence (AI) and machine learning (ML) techniques, … and attitudes towards machine
+learning has become important … intelligence and attitudes towards machine learning, as well as …
Save Cite Cited by 142 Related articles All 4 versions
[PDF] arxiv.org

Matbench Discovery--A framework to evaluate machine learning crystal stability predictions

J Riebesell, REA Goodall, P Benner, Y Chiang… - arXiv preprint arXiv …, 2023 - arxiv.org
Matbench Discovery simulates the deployment of machine learning (ML) energy models in
+a high-throughput search for stable inorganic crystals. We address the disconnect between (i) …
Save Cite Cited by 117 Related articles All 2 versions View as HTML
[PDF] ieee.org

Applying machine learning algorithms for the classification of sleep disorders

TS Alshammari - IEEE Access, 2024 - ieeexplore.ieee.org
… This paper compares deep learning algorithms and … machine learning algorithms. An
+evaluation and comparison of the proposed algorithm against state-of-the-art machine learning …
Save Cite Cited by 37 Related articles All 2 versions
+================================================================================ +machine learning - Google Scholar
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Page 35 of about 644,000 results (0.14 sec)

Machine learning-assisted nanosensor arrays: An efficiently high-throughput food detection analysis

Y Li, W Zhang, Z Cui, L Shi, Y Shang, Y Ji… - Trends in Food Science & …, 2024 - Elsevier
… This review comprehensively discussed the machine learning-… arrays, commonly used
+machine learning algorithms, and the … and prospects of machine learning-assisted nanosensor …
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Application of a new machine learning model to improve earthquake ground motion predictions

A Joshi, B Raman, CK Mohan, LR Cenkeramaddi - Natural Hazards, 2024 - Springer
… for Seismological Ensemble Machine Learning) has been … the selection of meta-machine
+learning models in the SeisEML… RMSE shows that the machine learning model’s performance …
Save Cite Cited by 123 Related articles All 8 versions

Conceptual advances in petrophysical inversion techniques: The synergy of machine learning and traditional inversion models

U Onyebuchi, OK Onyedikachi, EA Emuobosa - Eng Sci Technol J, 2024 - elibrary.ru
… and machine learning algorithms to create a new paradigm for reservoir parameter estimation
+and analysis. Machine learning’s … case studies where machine learning-assisted inversion …
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[PDF] frontiersin.org

Machine learning in concrete technology: A review of current researches, trends, and applications

Y Gamil - Frontiers in Built Environment, 2023 - frontiersin.org
… Machine learning techniques have been used in different fields of … of machine learning
+techniques and applications in concrete technology. The findings showed that machine learning …
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[PDF] frontiersin.org

Detection of emotion by text analysis using machine learning

K Machová, M Szabóova, J Paralič, J Mičko - Frontiers in Psychology, 2023 - frontiersin.org
… (NB), support vector machine (SVM) and with deep learning using neural networks (NN)
+to … of machine learning approaches to detect emotions from a text and improve human-machine …
Save Cite Cited by 69 Related articles All 7 versions Cached
[PDF] ieee.org

Applications of machine learning and deep learning in antenna design, optimization, and selection: a review

N Sarker, P Podder, MRH Mondal, SS Shafin… - IEEE …, 2023 - ieeexplore.ieee.org
… In recent years, IoT technologies such as machine-to-machine (M2M) or deviceto-device (…
+using machine learning algorithms or deep learning algorithms [7], [8]. Machine learning (ML) …
Save Cite Cited by 104 Related articles All 3 versions
[PDF] ieee.org

Imbalanced data problem in machine learning: A review

M Altalhan, A Algarni, MTH Alouane - IEEE Access, 2025 - ieeexplore.ieee.org
… This survey delves into various machine learning techniques … solutions including ensemble
+learning and specific algorithm … and effectiveness of machine learning models dealing with …
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[HTML][HTML] Ensuring network security with a robust intrusion detection system using ensemble-based machine learning

MA Hossain, MS Islam - Array, 2023 - Elsevier
… on machine learning have shown promising results in identifying unknown malicious attacks.
+No learning … In this research, a novel ensemble-based machine-learning technique for …
Save Cite Cited by 144 Related articles

Machine learning for predicting battery capacity for electric vehicles

J Zhao, H Ling, J Liu, J Wang, AF Burke, Y Lian - ETransportation, 2023 - Elsevier
… the stacking ensemble learning. The stacking, comprised of four base learning models
+referred to … This work highlights the promise of machine learning modelling using domain-specific …
Save Cite Cited by 158 Related articles All 2 versions
[PDF] springer.com

Single classifier vs. ensemble machine learning approaches for mental health prediction

J Chung, J Teo - Brain informatics, 2023 - Springer
… is via machine learning. As such, this study aims to empirically evaluate several popular
+machine learning … approach as well as an ensemble machine learning approach. The data set …
Save Cite Cited by 88 Related articles All 9 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] arxiv.org

Sources of Uncertainty in Machine Learning--A Statisticians' View

C Gruber, PO Schenk, M Schierholz, F Kreuter… - arXiv preprint arXiv …, 2023 - arxiv.org
… Machine Learning and Deep Learning have achieved an … primary strength of most supervised
+machine learning algorithms, the … concepts and uncertainty in machine learning, we also …
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[PDF] acs.org

Chemprop: a machine learning package for chemical property prediction

E Heid, KP Greenman, Y Chung, SC Li… - Journal of Chemical …, 2023 - ACS Publications
… Machine learning in general and especially deep learning has become a powerful tool in
+various fields of chemistry. Applications range from the prediction of physicochemical (1−9) …
Save Cite Cited by 405 Related articles All 13 versions
[PDF] nih.gov

Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives

FJJ Reis, RK Alaiti, CS Vallio, L Hespanhol - Brazilian journal of physical …, 2024 - Elsevier
Background The development and application of Artificial Intelligence (AI) and Machine
+Learning (ML) in healthcare have gained attention as a promising and powerful resource to …
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[PDF] centuryscipub.com

Applying machine learning algorithm to optimize personalized education recommendation system

W Chen, Z Shen, Y Pan, K Tan… - Journal of Theory and …, 2024 - centuryscipub.com
… However, improving the efficiency of machine learning algorithms depends more on the …
+machine learning. This paper tries to make a detailed overview of the existing machine learning …
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[HTML][HTML] AI-powered ensemble machine learning to optimize cost strategies in logistics business

C Yaiprasert, AN Hidayanto - International Journal of Information …, 2024 - Elsevier
This research investigates the potential advantages of using artificial intelligence (AI) to drive
+ensemble machine learning (ML) for enhancing cost strategies and maximizing profits. This …
Save Cite Cited by 113 Related articles All 2 versions
[PDF] arxiv.org

Training machine learning models at the edge: A survey

AR Khouas, MR Bouadjenek, H Hacid… - arXiv preprint arXiv …, 2024 - arxiv.org
… EDGE COMPUTING AND EDGE LEARNING This section introduces the … , edge machine
+learning, and edge learning. We will then examine the essential requirements of edge learning. …
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[PDF] researchgate.net

Artificial intelligence, machine learning, and deep learning in structural engineering: a scientometrics review of trends and best practices

ATG Tapeh, MZ Naser - Archives of Computational Methods in …, 2023 - Springer
Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
+techniques capable of delivering elegant and affordable solutions which can surpass those …
Save Cite Cited by 262 Related articles All 3 versions

Review of interpretable machine learning for process industries

A Carter, S Imtiaz, GF Naterer - Process Safety and Environmental …, 2023 - Elsevier
This review article examines recent advances in the use of machine learning for process
+industries. The article presents common process industry tasks that researchers are solving …
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[PDF] nature.com

Using machine learning to impact on long-term clinical care: principles, challenges, and practicalities

JJ Ashton, A Young, MJ Johnson, RM Beattie - Pediatric Research, 2023 - nature.com
… machine learning, including some of the basic algorithms. We emphasise the importance of
+correct utilisation of machine learning, … and potential utility of machine learning in paediatrics. …
Save Cite Cited by 46 Related articles All 6 versions
[PDF] nih.gov

Transforming clinical virology with AI, machine learning and deep learning: a comprehensive review and outlook

A Padhi, A Agarwal, SK Saxena, CDS Katoch - VirusDisease, 2023 - Springer
… This comprehensive review delves into the burgeoning integration of artificial intelligence
+(AI), machine learning, and deep learning into virological research and practice. As we …
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+================================================================================ +machine learning - Google Scholar
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Rice leaf diseases detection using machine learning

P Kulkarni, S Shastri - Journal of Scientific Research and Technology, 2024 - jsrtjournal.com
… Consequently, we may use machine learning to identify diseases in rice leaves by image
+processing… Disease detection, CNN algorithm, rice leaf, and machine learning are index terms. …
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[PDF] acm.org

Bias mitigation for machine learning classifiers: A comprehensive survey

M Hort, Z Chen, JM Zhang, M Harman… - ACM Journal on …, 2024 - dl.acm.org
… This article provides a comprehensive survey of bias mitigation methods for achieving
+fairness in Machine Learning (ML) models. We collect a total of 341 publications concerning bias …
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[HTML][HTML] Enhancing credit card fraud detection: an ensemble machine learning approach

AR Khalid, N Owoh, O Uthmani, M Ashawa… - Big Data and Cognitive …, 2024 - mdpi.com
… This paper delves into the application of machine learning … model that integrates a Support
+Vector Machine (SVM), K-… (SMOTE) on some machine learning algorithms. The evaluation of …
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[HTML][HTML] Machine learning in business process management: A systematic literature review

S Weinzierl, S Zilker, S Dunzer, M Matzner - Expert Systems with …, 2024 - Elsevier
Abstract Machine learning (ML) provides algorithms to create computer programs based on
+data without explicitly programming them. In business process management (BPM), ML …
Save Cite Cited by 49 Related articles All 3 versions
[PDF] nature.com

Quantum machine learning beyond kernel methods

S Jerbi, LJ Fiderer, H Poulsen Nautrup… - Nature …, 2023 - nature.com
… machine learning, we prove that linear quantum models must utilize exponentially more qubits
+than data re-uploading models in order to solve certain learning tasks, … machine learning …
Save Cite Cited by 275 Related articles All 11 versions

Advanced machine learning techniques for predictive analysis of health insurance

NNI Prova - … Conference on Intelligent Cyber Physical Systems …, 2024 - ieeexplore.ieee.org
… , we created a machine learning model and applied it to a … Those machine learning clusters
+that are the most effective … the county level, machine learning clustering reveals that the …
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[PDF] ieee.org

Crime prediction using machine learning and deep learning: A systematic review and future directions

V Mandalapu, L Elluri, P Vyas, N Roy - Ieee Access, 2023 - ieeexplore.ieee.org
… using machine learning and deep learning methodologies. … current trends in machine
+learning and deep learning for crime … The field of machine learning is a subset of artificial intel…
Save Cite Cited by 145 Related articles All 9 versions

Estimation of transport CO2 emissions using machine learning algorithm

S Li, Z Tong, M Haroon - Transportation Research Part D: Transport and …, 2024 - Elsevier
This study investigates carbon dioxide emissions from light-duty diesel trucks using a portable
+emission measurement system (PEMS) and a global positioning system. Two LDDTs are …
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[HTML][HTML] X-ray diffraction data analysis by machine learning methods—a review

VA Surdu, R Győrgy - Applied Sciences, 2023 - mdpi.com
… The use of machine learning (ML) techniques applied to crystalline materials research has …
+Publications suitable for inclusion in this review were identified using the “machine learning X-…
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[PDF] nature.com

Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer

Y Chen, B Wang, Y Zhao, X Shao, M Wang… - Nature …, 2024 - nature.com
… Our machine learning analysis reveals a 10-metabolite GC diagnostic model, which is …
+Additionally, our machine learning-derived prognostic model demonstrates superior performance …
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[HTML][HTML] Machine learning for bridge wind engineering

Z Zhang, S Li, H Feng, X Zhou, N Xu, H Li… - Advances in Wind …, 2024 - Elsevier
… Machine Learning (ML) has been shown versatile for various modeling and control tasks in
+… -induced vibrations and control based on reinforcement learning, in order to enable readers …
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Skin cancer detection using ensemble of machine learning and deep learning techniques

JV Tembhurne, N Hebbar, HY Patil, T Diwan - Multimedia Tools and …, 2023 - Springer
… , either machine learning model such as SVM or logistic regression or deep learning model
+ie … In this work, we employ the benefits of Machine Learning (ML) and Deep Learning (DL) for …
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[PDF] goldenneurolab.com

Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience

NL Goodwin, JJ Choong, S Hwang, K Pitts… - Nature …, 2024 - nature.com
… ,50 , our pipeline uses random forest supervised machine learning algorithms; this further
+allows for the calculation of classical machine learning performance metrics and supports the …
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[HTML][HTML] Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review

AM Al-Sabaeei, H Alhussian, SJ Abdulkadir… - energy reports, 2023 - Elsevier
… progress of machine learning (ML) … machine and deep learning techniques, specifically
+artificial neural networks (ANNs), support vector machines (SVMs) and hybrid machine learning (…
Save Cite Cited by 84 Related articles All 6 versions

The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things

S Aminizadeh, A Heidari, S Toumaj, M Darbandi… - Computer methods and …, 2023 - Elsevier
Medical data processing has grown into a prominent topic in the latest decades with the primary
+goal of maintaining patient data via new information technologies, including the Internet …
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[PDF] annualreviews.org

Recent developments in causal inference and machine learning

JE Brand, X Zhou, Y Xie - Annual Review of Sociology, 2023 - annualreviews.org
… Supervised machine learning methods are designed to … Similarly, suppose we use an
+off-the-shelf machine learning method to … Researchers have adapted machine learning methods to …
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[HTML][HTML] Machine learning for numerical weather and climate modelling: a review

CO de Burgh-Day… - Geoscientific Model …, 2023 - gmd.copernicus.org
… we overview the state of machine learning in weather and climate … Machine learning is an
+increasingly powerful and popular … The term “machine learning” (ML) was first coined by Arthur …
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[PDF] researchgate.net

Automating the machine learning process using PyCaret and Streamlit

N Sarangpure, V Dhamde, A Roge… - … for Innovation in …, 2023 - ieeexplore.ieee.org
… Machine learning fields is Automatic Machine Learning (AutoML) tries to automate the creation
+of machine learning … Shubhra Kanti Karmaker observed that by making machine learning …
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[HTML] mdpi.com

[HTML][HTML] Machine learning in dentistry: a scoping review

LT Arsiwala-Scheppach, A Chaurasia… - Journal of Clinical …, 2023 - mdpi.com
Machine learning (ML) is being increasingly employed in dental research and application.
+We aimed to systematically compile studies using ML in dentistry and assess their …
Save Cite Cited by 71 Related articles All 7 versions Cached

[BOOK][B] Machine learning in modeling and simulation

T Rabczuk, KJ Bathe - 2023 - Springer
… Machine learning algorithms can be separated into two main classes: supervised and
+unsupervised learning. In … In supervised learning, the training data consists of a given set of input …
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+================================================================================ +machine learning - Google Scholar
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[PDF] centuryscipub.com

Cloud computing for large-scale resource computation and storage in machine learning

Y Wang, Q Bao, J Wang, G Su… - Journal of Theory and …, 2024 - centuryscipub.com
… machine learning in today's technology landscape. As the global cloud computing market
+size and the application of machine learning … storage requirements in machine learning, and …
Save Cite Cited by 41 Related articles All 2 versions View as HTML
[PDF] researchgate.net

Applications of machine learning in agriculture

P Tripathi, N Kumar, M Rai, PK Shukla… - … and Sustainable Rural …, 2023 - igi-global.com
… In this chapter, some applications of machine learning technologies in … when machine
+learning plays role in agriculture. Agriculture decision making is empowered by machine learning …
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[HTML] sciencedirect.com

[HTML][HTML] Machine learning and internet of things in industry 4.0: A review

MS Rahman, T Ghosh, NF Aurna, MS Kaiser… - Measurement …, 2023 - Elsevier
Abstract Machine learning (ML), sensors networks, and Internet of Things (IoT) are the most
+important contributor in the newest revolution in the industry. It is going towards a fully …
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[HTML] sciencedirect.com

[HTML][HTML] Optimizing landslide susceptibility mapping using machine learning and geospatial techniques

G Agboola, LH Beni, T Elbayoumi, G Thompson - Ecological Informatics, 2024 - Elsevier
… This study aims to investigate the optimal data selection and machine learning model, or …
+machine learning models for landslide susceptibility mapping, namely: Support Vector Machine …
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[HTML] sciencedirect.com

[HTML][HTML] Detecting suicidality on social media: Machine learning at rescue

ST Rabani, AMUD Khanday, QR Khan… - Egyptian Informatics …, 2023 - Elsevier
… This research study aims to develop a multi-class machine learning classifier for identifying
+suicidal risk levels in social media posts. The proposed Enhanced Feature Engineering …
Save Cite Cited by 46 Related articles All 5 versions
[PDF] ametsoc.orgFull View

Cross-validation strategy impacts the performance and interpretation of machine learning models

L Sweet, C Müller, M Anand… - Artificial Intelligence for …, 2023 - journals.ametsoc.org
… Machine learning algorithms are able to capture complex, nonlinear, interacting … In this
+study, machine learning models are trained to predict simulated crop yield from climate indices, …
Save Cite Cited by 59 Related articles All 6 versions
[PDF] arxiv.org

Graph filters for signal processing and machine learning on graphs

E Isufi, F Gama, DI Shuman… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
… signal processing and machine learning techniques, including … in signal processing and
+machine learning applications. Our … processing, machine learning, and application domains. …
Save Cite Cited by 142 Related articles All 8 versions
[PDF] acm.org

Evaluations of machine learning privacy defenses are misleading

M Aerni, J Zhang, F Tramèr - Proceedings of the 2024 on ACM SIGSAC …, 2024 - dl.acm.org
Empirical defenses for machine learning privacy forgo the provable guarantees of differential
+privacy in the hope of achieving higher utility while resisting realistic adversaries. We …
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Applications of distributed machine learning for the internet-of-things: A comprehensive survey

M Le, T Huynh-The, T Do-Duy, TH Vu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
… a comprehensive survey on distributed learning for IoT services and … of machine learning
+and present a preliminary to typical distributed learning approaches, such as federated learning…
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[HTML] mdpi.com

[HTML][HTML] Effective heart disease prediction using machine learning techniques

CM Bhatt, P Patel, T Ghetia, PL Mazzeo - Algorithms, 2023 - mdpi.com
… machine learning, we can diagnose, detect, and predict various diseases. Recently, there
+has been a growing interest in using data mining and machine learning … machine learning …
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[PDF] ssrn.com

Machine learning model towards evaluating data gathering methods in manufacturing and mechanical engineering

M Amini, K Sharifani, A Rahmani - International Journal of Applied …, 2023 - papers.ssrn.com
… Training and deploying ML (Machine Learning) models have become considerably easy …
+Since most AL (Active Learning) studies take random sampling as performance baseline it …
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[HTML] sciencedirect.com

[HTML][HTML] Machine learning methods for histopathological image analysis: Updates in 2024

D Komura, M Ochi, S Ishikawa - Computational and Structural …, 2025 - Elsevier
… comprehensive analysis of machine learning applications in … , and interpretability of machine
+learning models. We evaluate … the potential of machine learning in enhancing both routine …
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[PDF] springer.com

Air pollution prediction with machine learning: a case study of Indian cities

K Kumar, BP Pande - International Journal of Environmental Science and …, 2023 - Springer
… technologies based on machine learning techniques are … technique and five machine
+learning models are employed … while the Support Vector Machine model exhibits the lowest …
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[PDF] sciencedirect.com

Crop yield prediction using machine learning and deep learning techniques

K Jhajharia, P Mathur, S Jain, S Nijhawan - Procedia Computer Science, 2023 - Elsevier
… In this research work authors have implemented various machine learning techniques to
+estimate the crop yield in Rajasthan state of India on five identified crops. The results indicate …
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[HTML][HTML] Current application status of multi-scale simulation and machine learning in research on high-entropy alloys

D Jiang, L Xie, L Wang - Journal of Materials Research and Technology, 2023 - Elsevier
… -scale simulation and machine learning have emerged as an … element simulation, and machine
+learning. These methods not … multi-scale simulation and machine learning techniques for …
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[PDF] puiij.com

Machine learning and deep learning for big data analytics: A review of methods and applications

NL Rane, M Paramesha, SP Choudhary… - Partners Universal …, 2024 - puiij.com
… This review explores how machine learning (ML) and deep learning (DL) techniques are
+used in in-depth data analysis, focusing on modern advancements, methodologies, and …
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[HTML][HTML] Unbiased employee performance evaluation using machine learning

Z Nayem, MA Uddin - Journal of Open Innovation: Technology, Market, and …, 2024 - Elsevier
… We utilized a few machine learning tools in this study including the Logistic Regression …
+Then, we compared the effectiveness of those machine learning models by analyzing their …
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[PDF] oup.com

MAGUS: machine learning and graph theory assisted universal structure searcher

J Wang, H Gao, Y Han, C Ding, S Pan… - National Science …, 2023 - academic.oup.com
… , which addresses the above challenges with machine learning and graph theory. Techniques
+… With intensive tests, we demonstrate that on-the-fly machine-learning potentials can be …
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[HTML][HTML] Improving aircraft performance using machine learning: A review

S Le Clainche, E Ferrer, S Gibson, E Cross… - Aerospace Science and …, 2023 - Elsevier
This review covers the new developments in machine learning (ML) that are impacting the
+multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics (…
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Review on machine learning-based bioprocess optimization, monitoring, and control systems

PP Mondal, A Galodha, VK Verma, V Singh… - Bioresource …, 2023 - Elsevier
… limit machine learning real-time … machine learning domain and discusses its complexities
+for more comprehensive applications. Followed by an outline of how relevant machine learning …
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+================================================================================ +machine learning - Google Scholar
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[PDF] mdpi.com

Review of challenges and opportunities in turbulence modeling: A comparative analysis of data-driven machine learning approaches

Y Zhang, D Zhang, H Jiang - Journal of Marine Science and Engineering, 2023 - mdpi.com
… continues to improve, machine learning has proven to be a … modeling using data-driven
+machine learning; it begins by … of turbulence modeling for machine learning applications using a …
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[PDF] ieee.org

A comprehensive survey: Evaluating the efficiency of artificial intelligence and machine learning techniques on cyber security solutions

M Ozkan-Okay, E Akin, Ö Aslan, S Kosunalp… - IEEe …, 2024 - ieeexplore.ieee.org
… On the other hand, RL is again a subfield of machine learning that trains algorithms to learn
+… that rely on machine learning, deep learning, and reinforcement learning are susceptible to …
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[PDF] researchgate.net

Genetic algorithm and machine learning

RR Chandan, S Soni, A Raj, V Veeraiah… - … , Policies, and Reform, 2023 - igi-global.com
Genetic algorithm is based on the natural search process, which mimics natural growth and
+employs approaches inspired by natural evolution to solve optimization problems, …
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[HTML][HTML] Explainability and interpretability in electric load forecasting using machine learning techniques–a review

L Baur, K Ditschuneit, M Schambach, C Kaymakci… - Energy and AI, 2024 - Elsevier
… Still, at the same time, the complexity of the used machine learning models and … and
+interpretability for load forecasts using Machine Learning. Based on extensive literature research …
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Machine learning for hydrothermal treatment of biomass: a review

W Zhang, Q Chen, J Chen, D Xu, H Zhan, H Peng… - Bioresource …, 2023 - Elsevier
… Recently, machine learning (ML) has been widely employed to predict and optimize the
+production of biofuels, chemicals, and materials from HTT by feeding experimental data. This …
Save Cite Cited by 114 Related articles All 5 versions
[PDF] arxiv.org

Integrated sensing and communication for 6G: Ten key machine learning roles

U Demirhan, A Alkhateeb - IEEE Communications Magazine, 2023 - ieeexplore.ieee.org
… machine learning can provide a potential solution. This article focuses on ten key machine
+learning … systems, explains why and how machine learning can be utilized, and highlights …
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[PDF] sciencedirect.com

Quantum Machine Learning: Scope for real-world problems

A Jadhav, A Rasool, M Gyanchandani - Procedia Computer Science, 2023 - Elsevier
… machine learning algorithms are in surface for the past few years and majority of the current
+research has dealt with the two machine learning … of quantum machine learning and its …
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An Exploration of Federated Learning for Privacy-Preserving Machine Learning

KK Kumar, TS Rao, N Vullam, SS Vellela… - … on Innovative Trends …, 2024 - ieeexplore.ieee.org
… , centralized machine learning may not be … learning lets several parties train machine
+learning models without sharing data. Federated learning uses decentralized machine learning to …
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[PDF] ieee.org

Predicting university student graduation using academic performance and machine learning: a systematic literature review

LR Pelima, Y Sukmana, Y Rosmansyah - IEEE Access, 2024 - ieeexplore.ieee.org
… learning environments. This research conducts a thorough systematic review of the existing
+literature on machine learning-… This review includes the various machine learning algorithms …
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[PDF] springer.com

Water quality prediction using machine learning models based on grid search method

MY Shams, AM Elshewey, ESM El-Kenawy… - Multimedia Tools and …, 2024 - Springer
… According to the previous works, the prediction and classification accuracy is improved
+using machine learning techniques, so we discuss the effect of some of the machine learning …
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+================================================================================ +machine learning - Google Scholar
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[PDF] ssrn.com

Healthcare fraud detection using machine learning

NNI Prova - … Conference on Intelligent Cyber Physical Systems …, 2024 - ieeexplore.ieee.org
… Recognizing the criticality of this issue, this research analyzes the utilization of machine
+learning techniques for the detection of healthcare fraud. Through an analysis of the dataset …
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[PDF] researchgate.net

[PDF][PDF] Artificial intelligence and machine learning in financial services Market developments and financial stability implications

MA Mestikou, KE Smeti, Y Hachaïchi - Financial Stability Board, 2023 - researchgate.net
… AI and machine learning are rapidly transforming the financial services industry. These …
+the different use cases of AI and Machine learning in Financial services and their implications …
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[PDF] wiley.com

Applied machine learning in hematopathology

T Dehkharghanian, Y Mu, HR Tizhoosh… - International Journal …, 2023 - Wiley Online Library
… machine learning enabled medical devices supporting hematopathology workflows. We then
+explore current machine learning … and how adoption of new machine learning tools may be …
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[PDF] acs.org

Data generation for machine learning interatomic potentials and beyond

M Kulichenko, B Nebgen, N Lubbers, JS Smith… - Chemical …, 2024 - ACS Publications
… The field of data-driven chemistry is undergoing an evolution, driven by innovations in
+machine learning … We delve into the details of active learning, discussing its various facets and …
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[PDF] acs.org

Open-source machine learning in computational chemistry

A Hagg, KN Kirschner - Journal of chemical information and …, 2023 - ACS Publications
… as a resource to learn about machine learning or specific architectures … machine learning.
+Based on our observations and considering the three pillars of collaborative machine learning …
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[PDF] rsc.org

A review of recent advances and applications of machine learning in tribology

AT Sose, SY Joshi, LK Kunche, F Wang… - Physical Chemistry …, 2023 - pubs.rsc.org
… Specifically, data-driven machine learning … machine learning in understanding these critical
+factors. A successful implementation of neural networks, supervised, and stochastic learning …
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Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging

S Azizi, L Culp, J Freyberg, B Mustafa, S Baur… - Nature Biomedical …, 2023 - nature.com
… Machine-learning models for medical tasks can match or … representation-learning strategy
+for machine-learning models … large-scale supervised transfer learning on natural images and …
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[PDF] irjeas.org

[PDF][PDF] Machine learning in ASIC design verification

N Patel - INTERNATIONAL RESEARCH JOURNAL OF …, 2023 - irjeas.org
… This paper reveals how machine learning techniques should be … Through machine
+learning adoption engineers transform … Implementing machine learning technology improves …
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[HTML][HTML] The non-linear dynamics of South Australian regional housing markets: A machine learning approach

A Soltani, CL Lee - Applied Geography, 2024 - Elsevier
… machine learning … machine learning algorithms including Decision Tree, Random Forest,
+Gradient-Boosted Tree, and Artificial Neural Network. The key finding is that machine learning …
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[PDF] academia.edu

[PDF][PDF] AI AND MACHINE LEARNING FOR NETWORK SECURITY: APPLICATIONS AND CASE STUDIES

Y Kannan - Journal ID, 2024 - academia.edu
… machine learning and deep learning… Machine learning enhances this by identifying variations
+and new patterns that signature-based systems might miss. For instance, machine learning …
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[PDF] wiley.com

In silico chemical experiments in the age of AI: From quantum chemistry to machine learning and back

A Aldossary, JA Campos‐Gonzalez‐Angulo… - Advanced …, 2024 - Wiley Online Library
… Schematic overview of the hierarchy of physical information in quantum chemical related
+machine learning models as reviewed in this paper. The two-electron density plot for the neon …
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Predictive models in machine learning for strength and life cycle assessment of concrete structures

A Dinesh, BR Prasad - Automation in Construction, 2024 - Elsevier
… Machine learning (ML), a subset of AI, has been predominantly applied to the domain of
+prediction. Hence, the focus of this review is on numerous machine learning … machine learning …
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[PDF] arxiv.org

Mission Critical--Satellite Data is a Distinct Modality in Machine Learning

E Rolf, K Klemmer, C Robinson, H Kerner - arXiv preprint arXiv …, 2024 - arxiv.org
… machine learning—one in which we rethink existing practices designed for traditional data
+modalities. As machine learning … a distinct modality for machine learning research and that we …
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[PDF] cell.comFull View

Leakage and the reproducibility crisis in machine-learning-based science

S Kapoor, A Narayanan - Patterns, 2023 - cell.com
Machine-learning (ML) methods have gained prominence in the quantitative sciences.
+However, there are many known methodological pitfalls, including data leakage, in ML-based …
Save Cite Cited by 477 Related articles All 9 versions
[PDF] archive.org

An introduction to machine learning for classification and prediction

JE Black, JK Kueper, TS Williamson - Family practice, 2023 - academic.oup.com
… being augmented or replaced with machine learning (ML) approaches to classify and predict
+health outcomes. ML describes the automated process of identifying (“learning”) patterns in …
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Forecasting price in a new hybrid neural network model with machine learning

R Zhu, GY Zhong, JC Li - Expert Systems with Applications, 2024 - Elsevier
… machine learning stock price prediction in a new hybrid neural network model and put forth a
+forecasting method based on machine learning, … and adopt a machine learning approach to …
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[HTML][HTML] Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review

G Vos, K Trinh, Z Sarnyai, MR Azghadi - International Journal of Medical …, 2023 - Elsevier
… stress and their associated machine learning methods. The electronic … , machine learning
+techniques applied using those, and future research directions. For the machine learning …
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[PDF] researchgate.net

[PDF][PDF] Review of AI and machine learning applications to predict and Thwart cyber-attacks in real-time

OA Ajala, CC Okoye, OC Ofodile… - Magna Scientia …, 2024 - researchgate.net
… Ensemble models aggregate the predictions of multiple machine learning models to achieve
+higher accuracy and robustness. Techniques such as bagging (Bootstrap Aggregating) and …
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[PDF] springer.com

Causal machine learning and its use for public policy

M Lechner - Swiss Journal of Economics and Statistics, 2023 - Springer
… I will also not discuss the use of Machine Learning either to generate variables (eg from
+text, pictures, or natural language) that can subsequently be used in causal analysis or for …
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[PDF] acs.orgFull View

Machine learning and deep learning in synthetic biology: Key architectures, applications, and challenges

MK Goshisht - ACS omega, 2024 - ACS Publications
… In this section, I shall describe the assimilation of machine learning in synthetic biology,
+with a strong focus on cell and metabolic engineering subfields. I shall also discuss how this …
Save Cite Cited by 81 Related articles All 5 versions
+================================================================================ +machine learning - Google Scholar
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Revolutionizing pharmaceutical research: Harnessing machine learning for a paradigm shift in drug discovery

A Husnain, S Rasool, A Saeed, HK Hussain - International Journal of …, 2023 - neliti.com
… This study examines the several effects of machine learning (ML) … The part that machine
+learning plays in enhancing … modeling, highlighting how machine learning may be used to find …
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[PDF] ametsoc.orgFull View

A review of machine learning for convective weather

A McGovern, RJ Chase, M Flora… - … Intelligence for the …, 2023 - journals.ametsoc.org
We present an overview of recent work on using artificial intelligence (AI)/machine learning (ML)
+techniques for forecasting convective weather and its associated hazards, including …
Save Cite Cited by 50 Related articles All 6 versions
[PDF] researchgate.net

[PDF][PDF] Machine learning algorithms for supply chain optimisation

S Jampani, S Avancha, A Mangal… - … Journal of Research …, 2023 - researchgate.net
The adoption of machine learning (ML) algorithms is transforming supply chain management
+by enabling businesses to enhance efficiency, accuracy, and decisionmaking. This paper …
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[PDF] wiley.comFull View

A novel study on machine learning algorithm‐based cardiovascular disease prediction

A Khan, M Qureshi, M Daniyal… - Health & Social Care in …, 2023 - Wiley Online Library
… methodologies by the utilization of machine learning algorithms to increase the accuracy of
+… based on hybrid machine learning methods. We used hybrid machine learning models to …
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[PDF] springer.com

Prediction of sepsis mortality in ICU patients using machine learning methods

J Gao, Y Lu, N Ashrafi, I Domingo, K Alaei… - BMC Medical Informatics …, 2024 - Springer
… This study aims to develop a machine learning model that enhances prediction accuracy
+for sepsis outcomes using a reduced set of features, thereby addressing the limitations of …
Save Cite Cited by 58 Related articles All 13 versions

Machine learning in commercialized coatings

H Mittal, OS Kushwaha - Functional coatings: Innovations and …, 2024 - Wiley Online Library
… machine learning methods on monolayer oxide coatings and novel Li SSE and anode coatings
+were also discussed to see which machine learning … to discuss the machine learning and …
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[PDF] theoj.org

[PDF][PDF] Permetrics: A framework of performance metrics for machine learning models

N Van Thieu - Journal of Open Source Software, 2024 - joss.theoj.org
… PerMetrics is a Python project developed in the field of performance assessment and
+machine learning. To the best of our knowledge, it is the first open-source framework that …
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[PDF] researchgate.net

Application of Machine Learning Techniques for Heavy Rainfall Prediction using Satellite Data

G Balram, N Poornachandrarao… - … on Smart Electronics …, 2024 - ieeexplore.ieee.org
… with the goal of utilizing machine learning techniques to forecast periods of intense rain. …
+-known machine learning techniques Random Forest, AdaBoost, Support Vector Machine (SVM)…
Save Cite Cited by 118 Related articles All 2 versions

Machine learning techniques for evaluating the nonlinear link between built-environment characteristics and travel behaviors: A systematic review

M Aghaabbasi, S Chalermpong - Travel behaviour and …, 2023 - ui.adsabs.harvard.edu
… characteristics and travel behaviors using machine learning was conducted. 41 related …
+of machine learning were found. Four general issues regarding the use of machine learning …
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Exploring catalytic reaction networks with machine learning

JT Margraf, H Jung, C Scheurer, K Reuter - Nature Catalysis, 2023 - nature.com
… In this Perspective, we aim to shine a light on recent applications of machine learning in the
+context of catalytic reaction networks, aiding both the inference of effective kinetic rate laws …
Save Cite Cited by 137 Related articles All 6 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] arxiv.org

Super-resolution analysis via machine learning: a survey for fluid flows

K Fukami, K Fukagata, K Taira - arXiv preprint arXiv:2301.10937, 2023 - arxiv.org
… of machine-learning-based super-resolution analysis for vortical flows. We first cover several
+machine-learning … We then offer case studies using a supervised learning-based super …
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[PDF] frontiersin.org

A review on the application of computer vision and machine learning in the tea industry

H Wang, J Gu, M Wang - Frontiers in Sustainable Food Systems, 2023 - frontiersin.org
… learning algorithms based on big data. However, our study has three main vital contributions.
+First, this study focuses on computer vision and machine learning … of machine learning. …
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[PDF] wiley.comFull View

Machine learning for tactile perception: advancements, challenges, and opportunities

Z Hu, L Lin, W Lin, Y Xu, X Xia, Z Peng… - Advanced Intelligent …, 2023 - Wiley Online Library
… and unsupervised learning. In this article, current advances in the use of machine learning
+… This review focuses on connecting machine learning algorithms to analog and spike signal …
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[PDF] researchcommons.org

Heart disease classification using optimized Machine learning algorithms

MA Kadhim, AM Radhi - Iraqi Journal For Computer …, 2023 - ijcsm.researchcommons.org
… machine learning algorithm that can predict heart attacks with high accuracy in the early
+stages. The concepts of machine learning … testing using machine learning algorithms Random …
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Applying machine learning for effective customer risk assessment

A Gupta, DN Dwivedi, J Shah - … in Banking and Financial Services: Anti …, 2023 - Springer
… machine learning-driven algorithms. Watchlist screening is a slightly more complicated topic
+requiring a robust machine learning-… of ensembling and machine learning was discussed …
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A review and guide on selecting and optimizing machine learning algorithms for daylight prediction

Q Liu, Y Chen, Y Liu, Y Lei, Y Wang, P Hu - Building and Environment, 2023 - Elsevier
… have been focused on machine learning algorithms due to their … process statistical analysis
+on the machine learning-based daylight-… In conclusion, the order of specific machine learning …
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[PDF] sciencedirect.com

Diagnosis of breast cancer using machine learning techniques-a survey

RK Yadav, P Singh, P Kashtriya - Procedia Computer Science, 2023 - Elsevier
… This research investigates the detection of breast cancer by applying machine learning
+algorithms, deep learning algorithms, and hybrid machine learning approaches to a variety of …
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[PDF] abbdm.net

Analyzing the performance and efficiency of machine learning algorithms, such as deep learning, decision trees, or support vector machines, on various datasets and …

H Tanveer, MA Adam, MA Khan, MA Ali… - The asian bulletin of big …, 2023 - abbdm.net
… strides in understanding various aspects of machine learning algorithms, including their …
+understanding of how machine learning algorithms, specifically Deep Learning, Decision Trees, …
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[HTML] mdpi.com

[HTML][HTML] Enhancing heart disease prediction accuracy through machine learning techniques and optimization

N Chandrasekhar, S Peddakrishna - Processes, 2023 - mdpi.com
… This study enhances heart disease prediction accuracy using machine learning techniques.
+Six algorithms (random forest, K-nearest neighbor, logistic regression, Naïve Bayes, …
Save Cite Cited by 247 Related articles All 4 versions Cached
[PDF] researchgate.net

Machine learning and artificial intelligence in disease prediction: Applications, challenges, limitations, case studies, and future directions

K Ramudu, VM Mohan, D Jyothirmai… - … Applications of Data …, 2023 - igi-global.com
… medicine by utilizing machine learning algorithms and … the growing intersection of machine
+learning (ML) and AI … and unsupervised learning algorithms, deep learning techniques, and …
Save Cite Cited by 120 Related articles All 4 versions
+================================================================================ +machine learning - Google Scholar
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Adversarial machine learning: A taxonomy and terminology of attacks and mitigations

A Vassilev, A Oprea, A Fordyce, H Andersen - 2024 - nist.gov
This NIST AI report develops a taxonomy of concepts and defines terminology in the field of
+adversarial machine learning (AML). The taxonomy is built on survey of the AML literature …
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[PDF] annualreviews.org

Machine learning and the digital measurement of psychological health

IR Galatzer-Levy, JP Onnela - Annual review of clinical …, 2023 - annualreviews.org
… in machine learning that are relevant for addressing these emergent high-dimensional, dynamic
+data problems. Broadly speaking, machine learning … different machine learning methods …
Save Cite Cited by 25 Related articles All 5 versions
[HTML] sciencedirect.com

[HTML][HTML] Machine learning, IoT and 5G technologies for breast cancer studies: A review

HE Saroğlu, I Shayea, B Saoud, MH Azmi… - Alexandria engineering …, 2024 - Elsevier
… machine learning (ML) and deep learning (DL) techniques for the diagnosis of BC. The
+survey aims to compare these newly developed systems with previously established methods …
Save Cite Cited by 36 Related articles All 3 versions
[PDF] biorxiv.org

CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning

A Chklovski, DH Parks, BJ Woodcroft, GW Tyson - Nature methods, 2023 - nature.com
… Here, we present CheckM2, an improved method of predicting genome quality of MAGs
+using machine learning. Using synthetic and experimental data, we demonstrate that CheckM2 …
Save Cite Cited by 828 Related articles All 14 versions
[PDF] acs.org

Negative data in data sets for machine learning training

MP Maloney, CW Coley, S Genheden, N Carson… - Organic …, 2023 - ACS Publications
… (1) Data-enabled machine learning (ML) methods have been shown to be equal and …
+Coley builds machine learning tools for chemistry and is one of the cofounders of the Open …
Save Cite Cited by 67 Related articles All 8 versions

Recent endeavors in machine learning-powered intrusion detection systems for the internet of things

D Manivannan - Journal of Network and Computer Applications, 2024 - Elsevier
… dedicated to leveraging Machine Learning techniques for … emerged through the fusion of
+Machine Learning and IoT security. … recent advancements in machine learning-based intrusion …
Save Cite Cited by 35 Related articles All 2 versions

Predicting open interest in thermal coal futures using machine learning

B Jin, X Xu - Mineral Economics, 2024 - Springer
… The machine learning methodology we employ for prediction purposes is the Gaussian
+process regression model, tuned via cross validation and Bayesian optimizations that take into …
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[PDF] acs.org

Machine learning interatomic potentials and long-range physics

DM Anstine, O Isayev - The Journal of Physical Chemistry A, 2023 - ACS Publications
… We aim to provide a pointed discussion to support the development of machine learning-based
+interatomic potentials for systems where contributions from only nearsighted terms are …
Save Cite Cited by 179 Related articles All 5 versions

Predicting coronary heart disease in Chinese diabetics using machine learning

CY Ma, YM Luo, TY Zhang, YD Hao, XQ Xie… - Computers in Biology …, 2024 - Elsevier
… machine learning methods (eXtreme Gradient Boosting, Random Forest, and Logistic
+regression). In addition, we have identified nine important features, including age, WHtR, BMI, …
Save Cite Cited by 38 Related articles All 4 versions

Recent advances in algal bloom detection and prediction technology using machine learning

J Park, K Patel, WH Lee - Science of The Total Environment, 2024 - Elsevier
… Recent advances in machine learning (ML) technology have shown promise in improving
+the accuracy and efficiency of algal bloom detection and prediction. This paper provides an …
Save Cite Cited by 41 Related articles All 4 versions
+================================================================================ +machine learning - Google Scholar
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Page 47 of about 641,000 results (0.17 sec)
[PDF] researchgate.net

[PDF][PDF] Machine learning approaches for enhancing fraud prevention in financial transactions

OA Bello, A Folorunso, OE Ejiofor… - International Journal …, 2023 - researchgate.net
… Embracing advanced technologies like machine learning and real-time analytics can …
+Supervised Learning Techniques Supervised learning is a key category of machine learning where …
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[HTML] mdpi.com

[HTML][HTML] The application of machine learning techniques in geotechnical engineering: A review and comparison

W Shao, W Yue, Y Zhang, T Zhou, Y Zhang, Y Dang… - Mathematics, 2023 - mdpi.com
… machine learning approaches. Thus, a rising number of scholars are adopting machine learning
+… application of three popular machine learning algorithms, support vector machine (SVM)…
Save Cite Cited by 29 Related articles All 5 versions Cached

Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges

W Zhang, X Gu, L Hong, L Han, L Wang - Applied Soft Computing, 2023 - Elsevier
Geotechnical reliability analysis provides a novel way to rationally take the underlying
+geotechnical uncertainties into account and evaluate the stability of geotechnical structures by …
Save Cite Cited by 148 Related articles All 2 versions
[HTML] mdpi.com

[HTML][HTML] Reviewing multimodal machine learning and its use in cardiovascular diseases detection

M Moshawrab, M Adda, A Bouzouane, H Ibrahim… - Electronics, 2023 - mdpi.com
… learning, Reinforcement Learning, and Deep Learning, that … , Machine Learning has
+demonstrated high efficiency in solving classification and regression problems. Machine Learning’s …
Save Cite Cited by 51 Related articles All 3 versions Cached
[PDF] wiley.comFull View

Classification prediction of breast cancer based on machine learning

H Chen, N Wang, X Du, K Mei… - Computational …, 2023 - Wiley Online Library
… neighbor, and other machine learning methods, this paper … When most studies apply
+machine learning models to breast … Considering that the prediction effect of machine learning …
Save Cite Cited by 114 Related articles All 8 versions
[PDF] mdpi.com

Overview on intrusion detection systems design exploiting machine learning for networking cybersecurity

P Dini, A Elhanashi, A Begni, S Saponara, Q Zheng… - Applied Sciences, 2023 - mdpi.com
… of intrusion detection systems that exploit machine learning techniques for networking
+cybersecurity. We examine various machine learning algorithms and methodologies that have …
Save Cite Cited by 146 Related articles All 7 versions Cached
[PDF] springer.com

Optimizing classification efficiency with machine learning techniques for pattern matching

BA Hamed, OAS Ibrahim, T Abd El-Hafeez - Journal of Big Data, 2023 - Springer
… Additionally, this work concentrated on effectively categorizing the DNA sequence using
+machine learning methods. To verify its efficacy, the suggested system is also examined in …
Save Cite Cited by 53 Related articles All 7 versions
[PDF] ieee.org

Cloud-based intrusion detection approach using machine learning techniques

H Attou, A Guezzaz, S Benkirane… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
… Nowadays, academic researchers show that intelligent learning methods[6, 11] such as
+machine learning (ML), deep learning (DL), and ensemble learning are useful in various areas[…
Save Cite Cited by 127 Related articles All 5 versions
[PDF] arxiv.org

A comprehensive review of quantum machine learning: from nisq to fault tolerance

Y Wang, J Liu - Reports on Progress in Physics, 2024 - iopscience.iop.org
… In this review, we primarily focus on quantum machine learning in its narrower sense,
+which pertains to execute quantum algorithms designed for machine learning purposes. …
Save Cite Cited by 75 Related articles All 4 versions
[HTML] mdpi.com

[HTML][HTML] Machine learning and deep learning techniques for internet of things network anomaly detection—current research trends

SH Rafique, A Abdallah, NS Musa, T Murugan - Sensors, 2024 - mdpi.com
… in IoT infrastructure using machine learning and deep learning. This paper discusses the …
+It reviews recent work on machine learning and deep-learning anomaly detection schemes …
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+================================================================================ +machine learning - Google Scholar
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[PDF] science.orgFull View

Climate-invariant machine learning

T Beucler, P Gentine, J Yuval, A Gupta, L Peng… - Science …, 2024 - science.org
Projecting climate change is a generalization problem: We extrapolate the recent past using
+physical models across past, present, and future climates. Current climate models require …
Save Cite Cited by 102 Related articles All 18 versions
[PDF] nih.gov

Improving machine learning with ensemble learning on observational healthcare data

B Naderalvojoud… - AMIA Annual …, 2024 - pmc.ncbi.nlm.nih.gov
… Ensemble learning is … machine learning models that are trained using different covariates,
+resulting in high precision and recall. Our study, which employs five different machine learning …
Save Cite Cited by 45 Related articles All 4 versions
[PDF] jatit.org

[PDF][PDF] A System for Analysing call drop dynamics in the telecom industry using Machine Learning and Feature Selection

D DASTAGIRAIAH - Journal of Theoretical and Applied Information …, 2024 - jatit.org
… to machine learning models to analyze call drop data and predict possible outcomes. The
+machine learning … Several machine learning models have been used in this research. These …
Save Cite Cited by 153 Related articles All 4 versions View as HTML
[PDF] nature.com

Chinese diabetes datasets for data-driven machine learning

Q Zhao, J Zhu, X Shen, C Lin, Y Zhang, Y Liang, B Cao… - Scientific Data, 2023 - nature.com
… to develop a compact guide regarding machine learning methods on BG prediction in T1DM…
+source, input pre-processing methods, machine learning algorithms, prediction horizon and …
Save Cite Cited by 61 Related articles All 9 versions
[HTML] mdpi.com

[HTML][HTML] Integration of remote sensing and machine learning for precision agriculture: a comprehensive perspective on applications

J Wang, Y Wang, G Li, Z Qi - Agronomy, 2024 - mdpi.com
… sensing (RS)”, “machine learning (ML)” and “precision … of remote sensing and machine
+learning in precision agriculture… of remote sensing technology and machine learning in precision …
Save Cite Cited by 55 Related articles All 4 versions Cached
[PDF] arxiv.org

Machine learning to solve vehicle routing problems: A survey

A Bogyrbayeva, M Meraliyev… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
… Abstract—This paper provides a systematic overview of machine learning methods … machine
+learning and operations research communities in solving VRPs either through pure learning …
Save Cite Cited by 131 Related articles All 5 versions
[PDF] iecscience.org

A review on analysis of k-means clustering machine learning algorithm based on unsupervised learning

M Suyal, S Sharma - Journal of Artificial Intelligence and Systems, 2024 - iecscience.org
… Machine learning process gives the tools the ability to learn from … machine learning, we
+program a computer or machine in such a way that the user wants the work done by the machine. …
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[HTML] mdpi.com

[HTML][HTML] Machine learning methods for cancer classification using gene expression data: A review

F Alharbi, A Vakanski - Bioengineering, 2023 - mdpi.com
… classification using machine learning methods. Both conventional and deep learning-based
+approaches are reviewed, with an emphasis on the application of deep learning models …
Save Cite Cited by 192 Related articles All 9 versions Cached
[PDF] arxiv.org

Knowledge-guided machine learning: Current trends and future prospects

A Karpatne, X Jia, V Kumar - arXiv preprint arXiv:2403.15989, 2024 - arxiv.org
This paper presents an overview of scientific modeling and discusses the complementary
+strengths and weaknesses of ML methods for scientific modeling in comparison to process-…
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[PDF] researchgate.net

[PDF][PDF] Machine learning for stock market forecasting: a review of models and accuracy

DI Ajiga, RA Adeleye, TS Tubokirifuruar… - Finance & Accounting …, 2024 - researchgate.net
… As financial markets become increasingly complex and dynamic, the application of machine
+learning (ML) techniques for stock market forecasting has garnered significant attention. This …
Save Cite Cited by 72 Related articles View as HTML
+================================================================================ +machine learning - Google Scholar
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Page 49 of about 641,000 results (0.21 sec)
[HTML] sciencedirect.com

[HTML][HTML] Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning

F Oliveira, DG Costa, F Assis, I Silva - Internet of Things, 2024 - Elsevier
… systems, edge computing, and machine learning. With rapid … The evolution of machine
+learning and its applications, along … In this context, the concept of embedded machine learning (…
Save Cite Cited by 124 Related articles
[HTML] mdpi.com

[HTML][HTML] Advanced machine learning techniques to improve hydrological prediction: A comparative analysis of streamflow prediction models

V Kumar, N Kedam, KV Sharma, DJ Mehta, T Caloiero - Water, 2023 - mdpi.com
… machine learning algorithms, such as CatBoost, ElasticNet, k-Nearest Neighbors (KNN), Lasso,
+Light Gradient Boosting Machine … promise of widely used machine learning algorithms in …
Save Cite Cited by 199 Related articles All 8 versions Cached

Hybrid modeling of first-principles and machine learning: A step-by-step tutorial review for practical implementation

P Shah, S Pahari, R Bhavsar, JSI Kwon - Computers & Chemical …, 2025 - Elsevier
In recent years, the integration of mechanistic process models with advanced machine learning
+techniques has led to the development of hybrid models, which have shown remarkable …
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[PDF] usenix.org

Privacy side channels in machine learning systems

E Debenedetti, G Severi, N Carlini… - 33rd USENIX Security …, 2024 - usenix.org
… Most current approaches for protecting privacy in machine learning (ML) assume that models
+exist in a … the need for a holistic, end-to-end privacy analysis of machine learning systems. …
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[HTML] sciencedirect.com

[HTML][HTML] 3D printing of biodegradable polymers and their composites–Current state-of-the-art, properties, applications, and machine learning for potential future …

SAV Dananjaya, VS Chevali, JP Dear, P Potluri… - Progress in Materials …, 2024 - Elsevier
This review paper comprehensively examines the dynamic landscape of 3D printing and
+Machine Learning utilizing biodegradable polymers and their composites, presenting a …
Save Cite Cited by 73 Related articles All 3 versions
[PDF] springer.com

Quantum data encoding: A comparative analysis of classical-to-quantum mapping techniques and their impact on machine learning accuracy

M Rath, H Date - EPJ Quantum Technology, 2024 - epjqt.epj.org
… of quantum data embedding techniques into classical machine learning (ML) algorithms; to
+… of quantum computing and classical machine learning, offering insights for researchers and …
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Advances in materials and machine learning techniques for energy storage devices: A comprehensive review

P Thakkar, S Khatri, D Dobariya, D Patel, B Dey… - Journal of Energy …, 2024 - Elsevier
… In recent years, machine learning (ML) become a prominent research strategy transfigure
+the discovery of materials. This review offers a concise summary of the elementary ML …
Save Cite Cited by 53 Related articles All 2 versions
[PDF] springer.com

Machine learning-driven optimization of enterprise resource planning (ERP) systems: a comprehensive review

ZN Jawad, V Balázs - Beni-Suef University Journal of Basic and Applied …, 2024 - Springer
… Among these, machine learning (ML) has become a ground-… However, using machine
+learning in ERP systems can be … This study starts with an investigation of machine learning and …
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[HTML][HTML] Air Quality Index prediction using machine learning for Ahmedabad city

NN Maltare, S Vahora - Digital Chemical Engineering, 2023 - Elsevier
… in machine learning is a promising field. The objective of this work is to compare the various
+machine learning … the data before providing to the machine learning models. This study is …
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[HTML] mdpi.com

[HTML][HTML] Making sense of machine learning: a review of interpretation techniques and their applications

A Tursunalieva, DLJ Alexander, R Dunne, J Li… - Applied Sciences, 2024 - mdpi.com
… In Section 3, we review the origins, basic principles, and suitability of existing Machine
+Learning (ML) interpretation techniques for different types of data. The following two sections …
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[HTML][HTML] Prediction of the severity of marine accidents using improved machine learning

Y Feng, X Wang, Q Chen, Z Yang, J Wang, H Li… - … Research Part E …, 2024 - Elsevier
… First, a novel two-stage feature selection (FS) method was developed to select and rank Risk
+Influential Factors (RIFs) to improve the accuracy of the Machine Learning (ML) model and …
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[HTML] mdpi.com

[HTML][HTML] Accuracy comparison between five machine learning algorithms for financial risk evaluation

H Dong, R Liu, AW Tham - Journal of Risk and Financial Management, 2024 - mdpi.com
… approach that compares five different machine learning classifiers combined with a … machine
+learning classifiers, and the performance results obtained from the five machine learning …
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Molecular machine learning for chemical catalysis: prospects and challenges

S Singh, RB Sunoj - Accounts of Chemical Research, 2023 - ACS Publications
… , RB A unified machine-learning protocol for asymmetric … demonstrate the utility of machine
+learning models built using … Das, M.; Sharma, P.; Sunoj, RB Machine learning studies on …
Save Cite Cited by 60 Related articles All 3 versions
[PDF] neurips.cc

Neurograph: Benchmarks for graph machine learning in brain connectomics

A Said, R Bayrak, T Derr, M Shabbir… - Advances in …, 2023 - proceedings.neurips.cc
… learning approaches, and the knowledge gap between the fields of neuroimaging and advanced
+graph machine learning [2]… evaluation of graph machine learning methodologies, with a …
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[PDF] pnas.orgFull View

Development potential of nanoenabled agriculture projected using machine learning

P Deng, Y Gao, L Mu, X Hu, F Yu, Y Jia, Z Wang… - Proceedings of the …, 2023 - pnas.org
… As data-driven approaches, machine learning models … plants, we improved machine learning
+models to overcome the … and global scales using machine learning and the integration of …
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[PDF] arxiv.org

Is K-fold cross validation the best model selection method for Machine Learning?

JM Gorriz, F Segovia, J Ramirez, A Ortiz… - arXiv preprint arXiv …, 2024 - arxiv.org
… To approach a frequentist analysis within machine learning pipelines, a … and learning from
+heterogeneous data sources. The fact that machine learning strongly depends on the learning …
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Machine learning and deep learning for sentiment analysis across languages: A survey

EM Mercha, H Benbrahim - Neurocomputing, 2023 - Elsevier
… that employ machine learning and deep learning models. We categorize these methods
+and techniques and provide new research directions. Our findings reveal that deep learning …
Save Cite Cited by 108 Related articles All 2 versions
[PDF] wiley.comFull View

Prediction of air quality index using machine learning techniques: a comparative analysis

NS Gupta, Y Mohta, K Heda, R Armaan… - … and Public Health, 2023 - Wiley Online Library
… In this work [32], they created a novel deep machine learning model called convolutional …
+Qo, deep learning may be a useful replacement for traditional machine learning techniques. …
Save Cite Cited by 156 Related articles All 4 versions

Intelligent structural health monitoring of composite structures using machine learning, deep learning, and transfer learning: a review

MM Azad, S Kim, YB Cheon, HS Kim - Advanced Composite …, 2024 - Taylor & Francis
… Therefore, the present article aims to provide a critical review of AI models, including
+machine learning, deep learning, and transfer learning, to preserve and sustain composite …
Save Cite Cited by 88 Related articles All 5 versions
[HTML] nih.gov

A systematic evaluation of machine learning–based biomarkers for major depressive disorder

NR Winter, J Blanke, R Leenings, J Ernsting… - JAMA …, 2024 - jamanetwork.com
… Balanced accuracy for the best machine learning pipeline in every modality. Error bars
+display 1 SD calculated across the 10 outer cross-validation folds. ALFF, amplitude of low-…
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+================================================================================ +machine learning - Google Scholar
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Page 51 of about 641,000 results (0.19 sec)

Enhancing the prediction of student performance based on the machine learning XGBoost algorithm

A Asselman, M Khaldi, S Aammou - Interactive Learning …, 2023 - Taylor & Francis
… machine learning approaches to avoid certain DL requirements. From this paper, we aim to
+evaluate whether the KT machine learning … a deep learning approach for specific conditions. …
Save Cite Cited by 452 Related articles All 5 versions
[PDF] thelancet.comFull View

Machine learning and deep learning predictive models for long-term prognosis in patients with chronic obstructive pulmonary disease: a systematic review and meta …

LA Smith, L Oakden-Rayner, A Bird, M Zeng… - The Lancet Digital …, 2023 - thelancet.com
… for COPD outcomes using and comparing machine learning and deep learning algorithms.
+Our assessment provides a baseline for machine learning model performance and highlights …
Save Cite Cited by 63 Related articles All 5 versions
[PDF] nih.gov

Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities

A Rahman, T Debnath, D Kundu, MSI Khan… - AIMS Public …, 2024 - pmc.ncbi.nlm.nih.gov
… [52] 2021 This work emphasizes how the use of Machine Learning (ML) in medical … [53]
+2021 The ethical part of the medical sector leveraging machine learning approach here …
Save Cite Cited by 128 Related articles All 7 versions
[PDF] nature.com

Optimized machine learning model for air quality index prediction in major cities in India

SK Natarajan, P Shanmurthy, D Arockiam… - Scientific reports, 2024 - nature.com
… An optimized machine learning model which combines Grey … Existing machine learning
+models, like k-nearest Neighbor, … compared to traditional machine learning algorithms with …
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[PDF] researchgate.net

Air quality improvement and optimisation using machine learning technique

R Veeranjaneyulu, S Boopathi… - … on Advances in …, 2023 - ieeexplore.ieee.org
… Most of the time, Naive Bayes is outperformed by other machine learning methods. Because
+… Machine learning methods are used to predict and analyse AQI and pollutant concentrations…
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[HTML] mdpi.com

[HTML][HTML] Application of machine learning to predict COVID-19 spread via an optimized BPSO model

EH Alkhammash, SA Assiri, DM Nemenqani… - Biomimetics, 2023 - mdpi.com
… To effectively evaluate the performance of the enhanced model in the prediction COVID-19
+samples, three machine learning models were utilized for comparison. The machine learning …
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Machine learning and deep learning

S Sharma, P Chaudhary - … Comput. Artif. Intell. Train. Mach. Deep …, 2023 - books.google.com
… of machine learning (ML) and deep learning (DL) algorithms and rich computation resources.
+The music that you listen to on YouTube is being used to train an ML model, which further …
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[HTML][HTML] Detection of bone fracture based on machine learning techniques

KD Ahmed, R Hawezi - Measurement: Sensors, 2023 - Elsevier
… made possible by machine learning algorithms. … As the last step, we classify and test several
+machine learning … with the Support Vector Machine (SVM) machine learning technique. …
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[HTML][HTML] Machine learning for small molecule drug discovery in academia and industry

A Volkamer, S Riniker, E Nittinger, J Lanini… - Artificial Intelligence in …, 2023 - Elsevier
… the field of molecular machine learning. Despite common open … Herein, we highlight the
+opportunities that machine learning … Main challenges in molecular machine learning as well as …
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[HTML] springer.com

[HTML][HTML] Soft electronics for health monitoring assisted by machine learning

Y Qiao, J Luo, T Cui, H Liu, H Tang, Y Zeng, C Liu… - Nano-Micro Letters, 2023 - Springer
… of machine learning algorithm. At the same time, with the assistance of machine learning …
+The soft electronics and machining learning algorithms complement each other very well. It …
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+================================================================================ +machine learning - Google Scholar
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[PDF] nature.com

Active machine learning model for the dynamic simulation and growth mechanisms of carbon on metal surface

D Zhang, P Yi, X Lai, L Peng, H Li - Nature Communications, 2024 - nature.com
… Here we show how an active machine-learning model effectively reveals the microscopic
+processes involved in substrate-catalyzed growth. Utilizing a synergistic approach of molecular …
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[HTML] mdpi.com

[HTML][HTML] Blockchain and machine learning for future smart grids: A review

VK Mololoth, S Saguna, C Åhlund - Energies, 2023 - mdpi.com
… On the other hand, machine learning techniques enable … blockchain technology and machine
+learning techniques in the … of applying blockchain and machine learning techniques for …
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[HTML] mdpi.com

[HTML][HTML] Artificial intelligence and machine learning technology driven modern drug discovery and development

C Sarkar, B Das, VS Rawat, JB Wahlang… - International Journal of …, 2023 - mdpi.com
… An unrestricted espousing of machine learning (ML), especially DL, in many scientific
+specialties, and the technological refinements in computing hardware and software, in concert with …
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[PDF] tandfonline.com

Machine learning in sports science: challenges and opportunities

C Richter, M O'Reilly, E Delahunt - Sports biomechanics, 2024 - Taylor & Francis
Sport scientists could benefit from knowing about the processes underpinning machine learning
+(ML) and its practical applications, as it has substantial implications for our field. ML has …
Save Cite Cited by 99 Related articles All 4 versions

A comparative analysis of various machine learning methods for anomaly detection in cyber attacks on IoT networks

MM Inuwa, R Das - Internet of Things, 2024 - Elsevier
… In this study, we use different machine learning methods to detect anomalies in cyber attacks
+on IoT systems and compare the performance of these methods. The result shows that the …
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[HTML][HTML] A review of machine learning techniques for identifying weeds in corn

A Venkataraju, D Arumugam, C Stepan, R Kiran… - Smart Agricultural …, 2023 - Elsevier
… Precise identification of weeds using Machine Learning (ML) models significantly reduces
+… data volume using data augmentation, transfer learning to benefit from existing models, and …
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Predictive Modelling of Osteoporosis using Machine Learning Algorithms

R Dhivya, SR Sagili, PNV VamsiLala… - 2024 4th …, 2024 - ieeexplore.ieee.org
… is focused on analyzing the possibilities of machine learning in prediction of osteoporosis.
+In their … In connection, this study also demonstrates how machine learning might be used for …
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[PDF] rsc.org

Interpretable models for extrapolation in scientific machine learning

ES Muckley, JE Saal, B Meredig, CS Roper… - Digital …, 2023 - pubs.rsc.org
… increasingly complex machine learning algorithms that often … forest and neural network
+machine learning algorithms to that … models for scientific machine learning are constrained by an …
Save Cite Cited by 69 Related articles All 4 versions
[PDF] springer.com

Machine learning and deep learning approach for medical image analysis: diagnosis to detection

M Rana, M Bhushan - Multimedia Tools and Applications, 2023 - Springer
… Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows …
+Hence, DL is considered as the enhanced technique of ML where ML uses the learning …
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[PDF] sciencedirect.com

Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts

IS Forrest, BO Petrazzini, Á Duffy, JK Park… - The Lancet, 2023 - thelancet.com
… machine learning models in the past decade that predict coronary artery disease. However,
+these studies used machine learning … disease-predictive machine learning models are scarce…
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[HTML] mdpi.com

[HTML][HTML] Detecting phishing domains using machine learning

S Alnemari, M Alshammari - Applied Sciences, 2023 - mdpi.com
… This paper develops and compares the effectiveness of machine learning (ML) classification
+models in detecting phishing domains. The goal is to improve detection by using the most …
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[PDF] cambridge.orgFull View

Data-driven science and machine learning methods in laser–plasma physics

A Döpp, C Eberle, S Howard, F Irshad, J Lin… - High Power Laser …, 2023 - cambridge.org
… This paper aims to present an overview of relevant machine learning methods with focus
+on applicability to laser-plasma physics and its important sub-fields of laser-plasma …
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[PDF] anapub.co.ke

[PDF][PDF] Deep learning and machine learning algorithms for enhanced aircraft maintenance and flight data analysis

M Helgo - Journal of Robotics Spectrum, 2023 - anapub.co.ke
… the use of machine learning and deep learning algorithms in the aviation … The application of
+machine learning algorithms in the … The application of machine learning approaches, namely …
Save Cite Cited by 62 Related articles All 2 versions View as HTML
[PDF] arxiv.org

Optimizing automated picking systems in warehouse robots using machine learning

K Li, J Wang, X Wu, X Peng, R Chang, X Deng… - arXiv preprint arXiv …, 2024 - arxiv.org
… edge machine learning technologies, specifically deep learning and reinforcement learning,
+… leverages a sophisticated ensemble of machine learning models to enhance decision-…
Save Cite Cited by 46 Related articles All 3 versions View as HTML
[PDF] researchgate.net

[PDF][PDF] Smart energy management system using machine learning

A Akram, S Abbas, M Khan, A Athar… - … , Materials & Continua, 2024 - researchgate.net
… Machine Learning (ML) is an emerging approach that may be beneficial to predict energy
+efficiency in a better way with the assistance of the Internet of Energy (IoE) network. The IoE …
Save Cite Cited by 52 Related articles All 7 versions View as HTML
[PDF] arxiv.org

The significance of machine learning in clinical disease diagnosis: A review

SM Rahman, S Ibtisum, E Bazgir, T Barai - arXiv preprint arXiv:2310.16978, 2023 - arxiv.org
… To tackle these challenges, researchers, physicians, and patients are turning to machine
+learning (… This research investigates the capacity of machine learning algorithms to improve the …
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[PDF] cureus.com

[PDF][PDF] Ethical considerations in the use of artificial intelligence and machine learning in health care: a comprehensive review

MH Tilala, PK Chenchala, A Choppadandi, J Kaur… - Cureus, 2024 - cureus.com
Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing health
+care by offering unprecedented opportunities to enhance patient care, optimize clinical …
Save Cite Cited by 154 Related articles All 8 versions View as HTML
[PDF] arxiv.org

A unified framework for machine learning collective variables for enhanced sampling simulations: mlcolvar

L Bonati, E Trizio, A Rizzi, M Parrinello - The Journal of Chemical …, 2023 - pubs.aip.org
… Depending on the type of data available, the learning process can be framed as … In this
+spirit, we developed a general multi-task learning framework in which multiple objective functions …
Save Cite Cited by 72 Related articles All 8 versions
[PDF] nature.com

Financial fraud detection through the application of machine learning techniques: a literature review

L Hernandez Aros, LX Bustamante Molano… - Humanities and Social …, 2024 - nature.com
… review on financial fraud detection through machine learning techniques. The PRISMA
+and … Machine learning models and metrics were used to assess performance. The analysis …
Save Cite Cited by 61 Related articles All 6 versions
[PDF] frontiersin.org

The role of machine learning in advancing diabetic foot: a review

H Guan, Y Wang, P Niu, Y Zhang, Y Zhang… - Frontiers in …, 2024 - frontiersin.org
… with keywords focused on machine learning and diabetic foot … critical evaluation of machine
+learning principles and their … that advance the intersection of machine learning (ML) and …
Save Cite Cited by 39 Related articles All 4 versions Cached
+================================================================================ +machine learning - Google Scholar
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[PDF] evjai.com

Supervised Machine Learning for Renewable Energy Forecasting

N Mazher, H Azmat - Euro Vantage journals of Artificial intelligence, 2024 - evjai.com
… , machine learning models require careful feature selection, model tuning, and validation to
+achieve optimal performance [3]. The application of supervised learning … machine learning in …
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[PDF] arxiv.org

Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey

H Kurunathan, H Huang, K Li, W Ni… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
… Machine learning (ML) has been increasingly demonstrating its capability of improving the
+automation and operation precision of UAVs and many UAV-assisted applications, such as …
Save Cite Cited by 165 Related articles All 11 versions

State of art on state estimation: Kalman filter driven by machine learning

Y Bai, B Yan, C Zhou, T Su, X Jin - Annual Reviews in Control, 2023 - Elsevier
… To overcome these obstacles, researchers have developed novel solutions by integrating
+machine learning techniques with the Kalman filter. Secondly, this paper classifies the related …
Save Cite Cited by 111 Related articles
[HTML] jmir.org

[HTML][HTML] Machine learning and health science research: tutorial

H Cho, J She, D De Marchi, H El-Zaatari… - Journal of Medical …, 2024 - jmir.org
Machine learning (ML) has seen impressive growth in health science research due to its …
+tasks, including unsupervised learning, supervised learning, and reinforcement learning. To aid …
Save Cite Cited by 21 Related articles All 12 versions Cached
[PDF] nature.com

Detection of autism spectrum disorder (ASD) in children and adults using machine learning

MS Farooq, R Tehseen, M Sabir, Z Atal - scientific reports, 2023 - nature.com
… Machine learning (ML) gives an opportunity to train ASD … Saeed 11 presented deep learning
+based model for healthcare … network for training machine learning model introduces further …
Save Cite Cited by 157 Related articles All 10 versions
[PDF] tandfonline.com

A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis

A Rawson, M Brito - Transport Reviews, 2023 - Taylor & Francis
… , machine learning models may be able to differentiate the likelihood or consequences of
+marine accidents better than conventional methods. Machine learning for … machine learning …
Save Cite Cited by 115 Related articles All 8 versions
[PDF] springer.com

Machine learning-enhanced flexible mechanical sensing

Y Wang, ML Adam, Y Zhao, W Zheng, L Gao, Z Yin… - Nano-Micro Letters, 2023 - Springer
… Machine learning (ML) as an important branch of artificial intelligence can efficiently handle
+such complex data, which can be multi-dimensional and multi-faceted, thus providing a …
Save Cite Cited by 134 Related articles All 15 versions
[PDF] science.org

Trends and potential of machine learning and deep learning in drug study at single-cell level

R Qi, Q Zou - Research, 2023 - spj.science.org
… will not only improve machine learning for cell–drug outcome … In this paper, we review
+machine learning and deep learning … the innovative use of machine learning methods to address …
Save Cite Cited by 62 Related articles All 7 versions
[PDF] annualreviews.org

Machine learning–driven SERS nanoendoscopy and optophysiology

M Chisanga, JF Masson - Annual Review of Analytical Chemistry, 2024 - annualreviews.org
… from advances in data science and machine learning to extract chemical information from …
+measurements arising from the combination of SERS nanosensing and machine learning. …
Save Cite Cited by 17 Related articles All 4 versions
[PDF] mesopotamian.press

[PDF][PDF] Parallel machine learning algorithms

SA Salman, SA Dheyab… - … Journal of Big …, 2023 - journals.mesopotamian.press
… machine learning algorithms. We also cover the benefits and threats associated with parallel
+machine learning… methods perform on a variety of machine learning tasks and datasets, and …
Save Cite Cited by 23 Related articles All 4 versions View as HTML
+================================================================================ +machine learning - Google Scholar
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[PDF] researchgate.net

Machine learning: a new approach for dose individualization

QY Li, BH Tang, YE Wu, BF Yao… - Clinical …, 2024 - Wiley Online Library
The application of machine learning (ML) has shown promising results in precision medicine
+due to its exceptional performance in dealing with complex multidimensional data. However…
Save Cite Cited by 36 Related articles All 6 versions
[PDF] google.com

News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review

MN Ashtiani, B Raahemi - Expert Systems with Applications, 2023 - Elsevier
… review is on papers investigating machine learning and text mining techniques to predict …
+, examining data mining and machine learning approaches and the employed datasets. From …
Save Cite Cited by 178 Related articles All 3 versions

A review on recent developments in cancer detection using machine learning and deep learning models

S Maurya, S Tiwari, MC Mothukuri, CM Tangeda… - … Signal Processing and …, 2023 - Elsevier
Cancer is a fatal illness frequently caused by a variety of obsessive changes and genetic
+disorders. Cancer cells knowing as abnormal cells can grow in any part of the human body. A …
Save Cite Cited by 101 Related articles
[PDF] acm.org

Edge computing with artificial intelligence: A machine learning perspective

H Hua, Y Li, T Wang, N Dong, W Li, J Cao - ACM Computing Surveys, 2023 - dl.acm.org
… the machine with certain intelligence so that the machine has … past decades, we mainly focus
+on machine learning (ML), a … focuses on mimicking the human learning process, but DM is …
Save Cite Cited by 526 Related articles All 7 versions
[HTML] sciencedirect.com

[HTML][HTML] How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare

J Allgaier, L Mulansky, RL Draelos, R Pryss - Artificial Intelligence in …, 2023 - Elsevier
Background Medical use cases for machine learning (ML) are growing exponentially. The
+first hospitals are already using ML systems as decision support systems in their daily routine. …
Save Cite Cited by 126 Related articles All 5 versions
[PDF] nature.com

Explaining machine learning models with interactive natural language conversations using TalkToModel

D Slack, S Krishna, H Lakkaraju, S Singh - Nature Machine Intelligence, 2023 - nature.com
Practitioners increasingly use machine learning (ML) models, yet models have become
+more complex and harder to understand. To understand complex models, researchers have …
Save Cite Cited by 134 Related articles All 7 versions

An extensive review of machine learning and deep learning techniques on heart disease classification and prediction

P Rani, R Kumar, A Jain, R Lamba… - … Methods in Engineering, 2024 - Springer
… In the contemporary era, machine learning has pervaded … Decision support systems based
+on machine learning, … diagnoses, a range of machine learning algorithms is available. Given …
Save Cite Cited by 45 Related articles All 2 versions
[PDF] nature.com

Machine learning and the prediction of suicide in psychiatric populations: a systematic review

A Pigoni, G Delvecchio, N Turtulici, D Madonna… - Translational …, 2024 - nature.com
Abstract Machine learning (ML) has emerged as a promising tool to enhance suicidal
+prediction. However, as many large-sample studies mixed psychiatric and non-psychiatric …
Save Cite Cited by 67 Related articles All 13 versions

Incorporating sparse model machine learning in designing cultural heritage landscapes

P Goodarzi, M Ansari, FP Rahimian… - Automation in …, 2023 - Elsevier
… Despite the great potential, using pattern language, machine learning, and regenerative
+and generative design tools has yet to be adopted in historic landscape research due to the …
Save Cite Cited by 35 Related articles All 3 versions
[PDF] springer.com

AI and machine learning for soil analysis: an assessment of sustainable agricultural practices

M Awais, SMZA Naqvi, H Zhang, L Li, W Zhang… - Bioresources and …, 2023 - Springer
… intelligence (AI), deep learning (DL), and machine learning (ML) platforms to attain robustness
+in SWC and soil texture analysis. Machine learning algorithms, such as random forests, …
Save Cite Cited by 61 Related articles All 11 versions
+================================================================================ +machine learning - Google Scholar
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[HTML] mdpi.com

[HTML][HTML] Machine learning for network intrusion detection—a comparative study

M Al Lail, A Garcia, S Olivo - Future Internet, 2023 - mdpi.com
… In this work, we propose using machine learning (ML) to develop a NIDS system capable of
+detecting modern attack types with a very high detection rate. To this end, we implement and …
Save Cite Cited by 47 Related articles All 6 versions Cached
[PDF] researchgate.net

[PDF][PDF] Leveraging AI and machine learning for the protection of critical national infrastructure

O Okusi - Asian Journal of Research in Computer Science, 2024 - researchgate.net
… From the above table, it is quite clear that machine learning (ML) is a popular AI technology.…
+Thapaliya and Bokani, [18] reveal that machine learning, deep learning, and natural …
Save Cite Cited by 44 Related articles All 3 versions View as HTML

Plant disease detection using machine learning approaches

I Ahmed, PK Yadav - Expert Systems, 2023 - Wiley Online Library
… Machine learning (ML), a type of artificial intelligence technology that allows researchers
+to … , neural networks, and support vector machine. The performance of the generated plants …
Save Cite Cited by 109 Related articles All 3 versions
[HTML] sciencedirect.com

[HTML][HTML] Machine learning for forecasting a photovoltaic (PV) generation system

C Scott, M Ahsan, A Albarbar - Energy, 2023 - Elsevier
… Photovoltaic (PV) is forecasted through machine learning algorithms (MLA), but different
+methods have varied accuracy and have different training requirements such as more inputs or …
Save Cite Cited by 121 Related articles All 7 versions

Agriculture yield estimation using machine learning algorithms

R Raman, H Kantari, AA Gokhale… - … on automation and …, 2024 - ieeexplore.ieee.org
… that employs data mining methods and machine learning methods to estimate the impact of
+… and make preventative efforts to boost their pupils' learning. This study also explores how the …
Save Cite Cited by 58 Related articles
[PDF] ieee.org

Quantum machine learning revolution in healthcare: a systematic review of emerging perspectives and applications

U Ullah, B Garcia-Zapirain - IEEE Access, 2024 - ieeexplore.ieee.org
… field of quantum machine learning, classical machine learning and … machine learning
+algorithms using quantum computers and the analysis of quantum systems using machine learning …
Save Cite Cited by 122 Related articles All 3 versions
[PDF] nature.com

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction

SS Al-Zaiti, C Martin-Gill, JK Zègre-Hemsey, Z Bouzid… - Nature Medicine, 2023 - nature.com
… Here we report, to our knowledge, the first observational cohort study to develop machine
+learning models for the ECG diagnosis of OMI. Using 7,313 consecutive patients from multiple …
Save Cite Cited by 213 Related articles All 10 versions
[PDF] researchgate.net

[PDF][PDF] Forecasting of crop yield using remote sensing data, agrarian factors and machine learning approaches

JP Bharadiya, NT Tzenios, M Reddy - Journal of Engineering …, 2023 - researchgate.net
… learning" refers to a kind of machine learning that makes use of numerous layers of neural
+networks and is capable of learning … Depending on the learning environment, the learning …
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[PDF] gafj.org

Application of adaptive machine learning systems in heterogeneous data environments

X Wu, Y Wu, X Li, Z Ye, X Gu, Z Wu, Y Yang - Global Academic Frontiers, 2024 - gafj.org
… Compared to traditional machine learning systems, adaptive machine learning systems …
+Through continuous learning and adjustment, adaptive machine learning systems can quickly …
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[PDF] acs.org

Mlatom 3: A platform for machine learning-enhanced computational chemistry simulations and workflows

PO Dral, F Ge, YF Hou, P Zheng, Y Chen… - Journal of Chemical …, 2024 - ACS Publications
Machine learning (ML) is increasingly becoming a common tool in computational chemistry.
+At the same time, the rapid development of ML methods requires a flexible software …
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+================================================================================ +machine learning - Google Scholar
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Page 57 of about 641,000 results (0.22 sec)
[PDF] google.com

Hybrid LBM and machine learning algorithms for permeability prediction of porous media: A comparative study

Q Kang, KQ Li, JL Fu, Y Liu - Computers and Geotechnics, 2024 - Elsevier
… machine learning … machine learning models are greater than 0.9, and the AdaBoost
+possesses the highest prediction accuracy and best generalization capacity. The machine learning …
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[PDF] sciencedirect.com

Machine learning in cardiology: Clinical application and basic research

J Komuro, D Kusumoto, H Hashimoto, S Yuasa - Journal of cardiology, 2023 - Elsevier
… Machine learning has been … Machine learning is essential for genome and multi-omics
+analyses. This review summarizes the recent advancements in the use of machine learning in …
Save Cite Cited by 27 Related articles All 11 versions

Diabetes prediction model using machine learning techniques

SKS Modak, VK Jha - Multimedia Tools and Applications, 2024 - Springer
… Similar to AI, machine learning also has a very broad scope. Deep Learning is a subset
+of machine learning. It works in the same way on the machine just like how the human brain …
Save Cite Cited by 60 Related articles All 3 versions
[PDF] researchgate.net

[PDF][PDF] Machine Learning for Predictive Observability-A Study Paper

A Mahida - Journal of Artificial Intelligence & Cloud Computing …, 2023 - researchgate.net
… machine learning have taken off over the last six years, predictive observability has progressed
+fast. This paper addresses the progress in machine learning … on how machine learning …
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[PDF] arxiv.org

Detecting ai generated text based on nlp and machine learning approaches

N Prova - arXiv preprint arXiv:2404.10032, 2024 - arxiv.org
… Our approach includes machine learning methods such as XGB Classifier, SVM, BERT
+architecture deep learning models. Furthermore, our results show that the BERT performs better …
Save Cite Cited by 80 Related articles All 2 versions View as HTML
[PDF] acm.org

Combining machine learning and semantic web: A systematic mapping study

A Breit, L Waltersdorfer, FJ Ekaputra, M Sabou… - ACM Computing …, 2023 - dl.acm.org
… that system 1 is comparable to Machine Learning (ML), whereas … and ML components,
+known as Semantic Web Machine Learning … in at least two papers8 into Machine Learning (ML), …
Save Cite Cited by 94 Related articles All 13 versions Library Search
[PDF] ljmu.ac.uk

The coming of age of interpretable and explainable machine learning models

PJG Lisboa, S Saralajew, A Vellido… - Neurocomputing, 2023 - Elsevier
… Machine-learning-based systems are now part of a wide … interpretability and explainability
+in machine-learning-based data … explainable and interpretable machine learning as post hoc …
Save Cite Cited by 156 Related articles All 10 versions
[HTML] mdpi.com

[HTML][HTML] Probabilistic confusion matrix: a novel method for machine learning algorithm generalized performance analysis

I Markoulidakis, G Markoulidakis - Technologies, 2024 - mdpi.com
… Machine Learning Modelling Framework As mentioned above there is a wide variety of machine
+learning … assessment framework of classification machine learning algorithms which are …
Save Cite Cited by 36 Related articles All 5 versions Cached

Analysing Factors for Improving Pregnancy Outcomes Using Machine Learning

S Devi, A Raj, P Joshi, S Rawat - … Issues with Machine Learning, 2023 - taylorfrancis.com
… Reviewing the use of machine learning algorithms in obesity research and identifying the
+advantages and disadvantages of these approaches for the application of machine learning in …
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[PDF] arxiv.org

Research on effectiveness evaluation and optimization of baseball teaching method based on machine learning

S Sun, J Yuan, Y Yang - arXiv preprint arXiv:2411.15721, 2024 - arxiv.org
… prediction of students' sports performance through machine learning model. The purpose
+of this study is to use a variety of machine learning models to regress and predict students' …
Save Cite Cited by 30 Related articles All 2 versions View as HTML
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[HTML] sciencedirect.com

[HTML][HTML] … and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine learning …

Y Belsti, L Moran, L Du, A Mousa, K De Silva… - International Journal of …, 2023 - Elsevier
… In this study, machine learning approaches achieved the best predictive performance over
+traditional statistical methods, increasing from 75 to 93%. The CatBoost classifier method …
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[PDF] pnas.orgFull View

A robust, agnostic molecular biosignature based on machine learning

HJ Cleaves, G Hystad, A Prabhu, ML Wong… - Proceedings of the …, 2023 - pnas.org
… We couple these measurements with mathematical modeling and machine learning to …
+machine learning approach that we employ below. (3) Training random forest machine-learning …
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[HTML] jmir.org

[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: systematic literature review

A Idrisoglu, AL Dallora, P Anderberg… - Journal of Medical Internet …, 2023 - jmir.org
… the possibility of using technologies such as machine learning (ML) to address these issues.
+… context are supervised and unsupervised learning. In supervised learning, an ML technique …
Save Cite Cited by 59 Related articles All 12 versions Cached
[PDF] nature.com

Optimized machine learning mechanism for big data healthcare system to predict disease risk factor

VN Thatha, S Chalichalamala, U Pamula… - Scientific Reports, 2025 - nature.com
… In addition to three machine learning methods—random forest, … Five machine learning models
+train the specified features. … The study compares the performance of five machine learning …
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Application of natural language processing (NLP) in machine learning

P Shetty, R Udhayakumar, A Patil… - … on Advancement in …, 2023 - ieeexplore.ieee.org
… sub - fields, such machine learning, deep learning, and natural … undertaking where various
+learning techniques have performed … NLP and statistics-based “machine learning” (ML) have …
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[HTML] sciencedirect.com

[HTML][HTML] Speech emotion recognition using machine learning—A systematic review

S Madanian, T Chen, O Adeleye, JM Templeton… - Intelligent systems with …, 2023 - Elsevier
Speech emotion recognition (SER) as a Machine Learning (ML) problem continues to garner
+a significant amount of research interest, especially in the affective computing domain. This …
Save Cite Cited by 114 Related articles All 4 versions

Identifying disease and diagnosis in females using machine learning

S Pramanik, SK Bandyopadhyay - … Science and Machine Learning, 2023 - igi-global.com
… in the Pima Indian diabetes dataset using machine learning techniques. Using the R data …
+supervised machine learning methods such as the linear kernel support vector machine (…
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Machine learning in soft matter: from simulations to experiments

K Zhang, X Gong, Y Jiang - Advanced Functional Materials, 2024 - Wiley Online Library
… Recently, the emergent machine learning (ML) techniques open new paradigms in
+property prediction and molecular design of functional materials, due to their extraordinarily …
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[PDF] ieee.org

Secure multi-party computation for machine learning: A survey

I Zhou, F Tofigh, M Piccardi, M Abolhasan… - IEEE …, 2024 - ieeexplore.ieee.org
… ABSTRACT Machine learning is a powerful … machine learning endeavors. This review looks
+into the recent advancements in secure multi-party computation (SMPC) for machine learning…
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Machine learning predictions of regional steel price indices for east China

B Jin, X Xu - Ironmaking & Steelmaking, 2025 - journals.sagepub.com
From 1 January 2010 to 15 April 2021, this study examines the challenging task of daily
+regional steel price index forecasting in the east Chinese market. We train our models using …
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[HTML] mdpi.com

[HTML][HTML] Application of machine learning in chronic kidney disease: current status and future prospects

C Delrue, S De Bruyne, MM Speeckaert - Biomedicines, 2024 - mdpi.com
The emergence of artificial intelligence and machine learning (ML) has revolutionized the
+landscape of clinical medicine, offering opportunities to improve medical practice and research…
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[PDF] springer.com

Machine learning methods for service placement: a systematic review

P Keshavarz Haddadha, MH Rezvani… - Artificial Intelligence …, 2024 - Springer
… The goal of this study is to systematically review machine learning algorithms for service
+placement. The methodology of this Systematic Literature Review (SLR) is based on the …
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[HTML] sciencedirect.com

[HTML][HTML] A systematic literature review on modern methods of construction in building: An integrated approach using machine learning

AJ Sánchez-Garrido, IJ Navarro, J García… - Journal of Building …, 2023 - Elsevier
The concerns surrounding sustainability, alternative energies, and lifestyle changes due to
+the pandemic have resulted in a surge in the manufacturing of buildings utilizing Modern …
Save Cite Cited by 106 Related articles All 4 versions

Cancer detection and segmentation using machine learning and deep learning techniques: A review

HM Rai - Multimedia Tools and Applications, 2024 - Springer
… techniques based on traditional machine learning (ML) and deep learning (DL) techniques
+… used ML classifier is Support Vector Machine whereas CNN is most commonly used DL …
Save Cite Cited by 66 Related articles All 4 versions
[PDF] wiley.comFull View

Diabetes prediction using machine learning and explainable AI techniques

I Tasin, TU Nabil, S Islam… - Healthcare technology …, 2023 - Wiley Online Library
… prediction system using machine learning approaches. The … Various machine learning
+approaches are used to anticipate … This work trained several machine learning techniques on …
Save Cite Cited by 282 Related articles All 7 versions
[PDF] nature.com

Predicting electronic structures at any length scale with machine learning

L Fiedler, NA Modine, S Schmerler, DJ Vogel… - npj Computational …, 2023 - nature.com
… We have developed a machine learning framework for predicting the electronic structure on
+… Our work demonstrates how machine learning circumvents a long-standing computational …
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[PDF] springer.com

Exploring data mining and machine learning in gynecologic oncology

F Idlahcen, A Idri, E Goceri - Artificial Intelligence Review, 2024 - Springer
… No consolidated work has been conducted to examine the depth and breadth of DM
+applicability as an adjunct to GYN oncology, emphasizing machine learning (ML)-based schemes. …
Save Cite Cited by 39 Related articles All 6 versions
[PDF] sagepub.com

Ground truth tracings (GTT): On the epistemic limits of machine learning

EB Kang - Big Data & Society, 2023 - journals.sagepub.com
… that engages with the ways in which current “machine listening” or voice analytics/biometric …
+machine learning. This article examines the sociotechnical assemblage of machine learning …
Save Cite Cited by 45 Related articles All 2 versions
[PDF] nature.com

Dataset meta-level and statistical features affect machine learning performance

S Uddin, H Lu - Scientific Reports, 2024 - nature.com
… Our research utilised 200 diverse UCI Machine Learning Repository and Kaggle tabular …
+the datasets, dataset features, and machine learning models. Section "Results" presents the …
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[PDF] preprints.org

Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions

IH Sarker, AI Khan, YB Abushark, F Alsolami - Mobile Networks and …, 2023 - Springer
… analyzing their machine learning-based … machine and deep learning-based IoT security
+solutions. For this, we present different machine learning techniques as well as deep learning …
Save Cite Cited by 482 Related articles All 9 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] researchgate.net

[PDF][PDF] Utilizing machine learning for predictive analysis of emission levels to ensure compliance in refinery operations

F Gyaase, OS Okunlola, AM Olusanya… - … of Engineering & …, 2025 - researchgate.net
… This study explores the use of Machine learning (ML) to predict emission levels in refinery
+operations to support regulatory compliance. Refineries produce a large amount of pollution …
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Integrating machine learning and AI for improved hydrological modeling and water resource management

DMS Zekrifa, M Kulkarni, A Bhagyalakshmi… - … Applications in Water …, 2023 - igi-global.com
… Machine learning and AI are promising tools in hydrological modeling, enhancing … Integrating
+machine learning and AI techniques can improve prediction, water resource management, …
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Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review

ZT Pritee, MH Anik, SB Alam, JR Jim, MM Kabir… - Computers & …, 2024 - Elsevier
… the field of Machine Learning and Deep Learning-based … domains of Machine Learning and
+Deep Learning-based user … methods and Machine Learning and Deep Learning algorithms …
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[PDF] nature.com

Visualization obesity risk prediction system based on machine learning

J Du, S Yang, Y Zeng, C Ye, X Chang, S Wu - Scientific Reports, 2024 - nature.com
… was selected from a larger pool of machine learning models, and we employed a Monte …
+The ten machine learning models we used included tree models, deep learning models, and …
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Software defect prediction using Machine learning

S Setia, KK Ravulakollu, K Verma… - … on Computing for …, 2024 - ieeexplore.ieee.org
… The field of software defects has profited from the development of machine learning (ML) in
+recent years. This technology can make rapid predictions about which defects will occur in a …
Save Cite Cited by 92 Related articles
[PDF] researchgate.net

[PDF][PDF] The evolution of business operations: unleashing the potential of Artificial Intelligence, Machine Learning, and Blockchain

RH Chowdhury - World Journal of Advanced Research and …, 2024 - researchgate.net
The convergence of Artificial Intelligence (AI), Machine Learning (ML), and Blockchain
+technologies is reshaping contemporary business operations. This abstract explores their …
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[PDF] ieee.org

Evaluation of machine learning approaches for precision farming in smart agriculture system: a comprehensive review

G Mohyuddin, MA Khan, A Haseeb, S Mahpara… - IEEE …, 2024 - ieeexplore.ieee.org
In the era of digital data proliferation, agriculture stands on the cusp of a transformative revolution
+driven by Machine Learning (ML). This study delves into the intricate interplay between …
Save Cite Cited by 116 Related articles All 3 versions
[PDF] arxiv.org

Machine learning in bioprocess development: from promise to practice

LM Helleckes, J Hemmerich, W Wiechert… - Trends in …, 2023 - cell.com
… In this context, data-driven methods like machine learning (ML) approaches have great
+potential to rationally explore large design spaces while exploiting experimental facilities most …
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Machine learning for brain disorders

O Colliot - 2023 - books.google.com
This Open Access volume provides readers with an up-to-date and comprehensive guide to
+both methodological and applicative aspects of machine learning (ML) for brain disorders. …
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[PDF] nature.com

Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques

K Venkatesan, SB Rahayu - Scientific Reports, 2024 - nature.com
… In this paper, we propose hybrid consensus algorithms that combine machine learning (ML)
+techniques to address the challenges and vulnerabilities in blockchain networks. …
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+================================================================================ +machine learning - Google Scholar
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Page 61 of about 642,000 results (0.19 sec)
[PDF] wiley.com

Predicting individual learning performance using machine‐learning hybridized with the teaching‐learning‐based optimization

M Arashpour, EM Golafshani… - Computer …, 2023 - Wiley Online Library
… (SVM) and artificial neural network (ANN), are hybridized by teaching–learning-based …
+learning analytics. This study provides scientific utility by developing hybridized machine-learning …
Save Cite Cited by 77 Related articles All 3 versions

Machine learning scopes on microgrid predictive maintenance: Potential frameworks, challenges, and prospects

MY Arafat, MJ Hossain, MM Alam - Renewable and Sustainable Energy …, 2024 - Elsevier
… Machine learning-based … machine learning-based predictive maintenance in microgrid
+systems. The analysis provides a comprehensive review of the state-of-the-art machine learning …
Save Cite Cited by 88 Related articles All 6 versions
[PDF] nature.com

Machine learning potentials for metal-organic frameworks using an incremental learning approach

S Vandenhaute, M Cools-Ceuppens… - npj Computational …, 2023 - nature.com
… an incremental learning scheme to construct accurate and data-efficient machine learning
+… The incremental learning scheme is universally applicable and may pave the way to model …
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[HTML] mdpi.com

[HTML][HTML] Teaching machine learning in K–12 using robotics

G Karalekas, S Vologiannidis, J Kalomiros - Education Sciences, 2023 - mdpi.com
… ) and machine learning (… machine learning using STEM-based robotic tools. We present
+selected robotic kits with ML capabilities that can be used to target concepts of machine learning …
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[PDF] arxiv.org

Machine learning for partial differential equations

SL Brunton, JN Kutz - arXiv preprint arXiv:2303.17078, 2023 - arxiv.org
… by machine learning, including: 1) the discovery of new governing PDEs and coarse-grained
+approximations for complex natural and engineered systems, 2) learning effective …
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Implementation of machine learning classification techniques for intrusion detection system

P William, VNR Inukollu, V Ramasamy… - 2023 4th …, 2023 - ieeexplore.ieee.org
In the region internet including service, flaws of software design that is present on the device
+on its own, protocol, and also in control. These vulnerabilities of the community can be very …
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[PDF] arxiv.org

Interpretability of machine learning: Recent advances and future prospects

L Gao, L Guan - IEEE MultiMedia, 2023 - ieeexplore.ieee.org
… The proliferation of machine learning (ML) has drawn … Consequently, understanding and
+learning ML-based … challenge for ML-based representation learning. To address this black-box …
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[HTML] informs.org

Reciprocal human-machine learning: A theory and an instantiation for the case of message classification

D Te'eni, I Yahav, A Zagalsky… - Management …, 2023 - pubsonline.informs.org
… A general usability issue that we believe is especially important in human-machine learning
+systems is related to the color-coding of the words; we used red to indicate suspect words …
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[PDF] acm.org

A comprehensive empirical study of bias mitigation methods for machine learning classifiers

Z Chen, JM Zhang, F Sarro, M Harman - ACM transactions on software …, 2023 - dl.acm.org
Software bias is an increasingly important operational concern for software engineers. We
+present a large-scale, comprehensive empirical study of 17 representative bias mitigation …
Save Cite Cited by 117 Related articles All 7 versions

Machine learning for synergistic network pharmacology: a comprehensive overview

F Noor, M Asif, UA Ashfaq, M Qasim… - Briefings in …, 2023 - academic.oup.com
… Machine learning (ML) and especially its subfield deep learning (DL) have seen impressive
+advances. Techniques developed within these fields are now able to analyze and learn from …
Save Cite Cited by 134 Related articles All 6 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] aps.org

Emergence of a resonance in machine learning

ZM Zhai, LW Kong, YC Lai - Physical Review Research, 2023 - APS
… of the interplay between noise and machinelearning prediction of dynamical systems in
+this work, along with the demonstration of the resonance phenomenon in machine learning. …
Save Cite Cited by 38 Related articles All 5 versions
[PDF] beei.org

DDoS attacks detection using machine learning and deep learning techniques: analysis and comparison

MA Al-Shareeda, S Manickam… - Bulletin of Electrical …, 2023 - journal.beei.org
… The main motivation of this paper is to investigate the most often used machine learning (ML)
+and deep learning (DL) techniques for intrusion detection system (IDS), as well as to …
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[PDF] researchgate.net

[PDF][PDF] Analysing the impact of advanced analytics on fraud detection: a machine learning perspective

OA Bello, A Folorunso, J Onwuchekwa… - European Journal of …, 2023 - researchgate.net
… This paper aims to explore the impact of advanced analytics and machine learning on
+fraud detection, examining how these technologies are transforming traditional methods and …
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[HTML] mdpi.com

[HTML][HTML] Machine learning techniques to detect a DDoS attack in SDN: A systematic review

TE Ali, YW Chong, S Manickam - Applied Sciences, 2023 - mdpi.com
… Machine learning (ML) and deep learning (DL) are among the most popular techniques for
+preventing distributed denial-of-service (DDoS) attacks on any kind of network. The objective …
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[PDF] oup.com

IntelliGenes: a novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profiles

W DeGroat, D Mendhe, A Bhusari, H Abdelhalim… - …, 2023 - academic.oup.com
In this article, we present IntelliGenes, a novel machine learning (ML) pipeline for the multi-genomics
+exploration to discover biomarkers significant in disease prediction with high …
Save Cite Cited by 142 Related articles All 14 versions
[PDF] ieee.org

Comparative analysis of intrusion detection systems and machine learning-based model analysis through decision tree

Z Azam, MM Islam, MN Huda - Ieee Access, 2023 - ieeexplore.ieee.org
Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
+confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …
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[HTML] sciencedirect.com

[HTML][HTML] A performance analysis of dimensionality reduction algorithms in machine learning models for cancer prediction

MF Kabir, T Chen, SA Ludwig - Healthcare Analytics, 2023 - Elsevier
… machine learning methods in medical fields. In cancer research, the combination of machine
+learning … reduction techniques have on machine learning models used for cancer prediction…
Save Cite Cited by 95 Related articles All 2 versions

Heart disease classification based on ECG using machine learning models

SM Malakouti - Biomedical Signal Processing and Control, 2023 - Elsevier
… to try to separate sick and healthy people from each other in the shortest possible time so
+that people's lives are safe, so in this manuscript it tried to use machine learning algorithms. …
Save Cite Cited by 113 Related articles
[PDF] emerald.com

Predicting sentiment and rating of tourist reviews using machine learning

K Puh, M Bagić Babac - Journal of hospitality and tourism insights, 2023 - emerald.com
… This paper used machine learning models such as Naïve Bayes, support vector machines (…
+-IDF) for word representations while deep learning models were trained using global vectors (…
Save Cite Cited by 128 Related articles All 8 versions
[PDF] researchgate.net

Forecasting of solar radiation using different machine learning approaches

V Demir, H Citakoglu - Neural Computing and Applications, 2023 - Springer
… machine learning-based approaches. The models used are support vector machine … ),
+Gaussian process regression (GPR), extreme learning machines (ELM) and K-nearest neighbors (…
Save Cite Cited by 121 Related articles All 7 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] ssrn.com

AI and machine learning in predictive data architecture

VK Ravi, SR Cheruku - International Research Journal of …, 2024 - papers.ssrn.com
… intelligence (AI) and machine learning (ML) technologies has … The application of machine
+learning algorithms empowers … nature of ML enables continuous learning from new data, …
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Integrating machine learning and model predictive control for automotive applications: A review and future directions

A Norouzi, H Heidarifar, H Borhan… - … Applications of Artificial …, 2023 - Elsevier
In this review paper, the integration of Machine Learning (ML) and Model Predictive Control
+(MPC) in Automotive Control System (ACS) applications are discussed. ACS can be divided …
Save Cite Cited by 125 Related articles All 2 versions
[PDF] mlr.press

Algorithmic collective action in machine learning

M Hardt, E Mazumdar… - … Machine Learning, 2023 - proceedings.mlr.press
… Yet, at a technical level our results relate to topics studied under the umbrella of adversarial
+machine learning. Most closely related is the line of work on data poisoning attacks that …
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[PDF] usenix.org

Uncovering the limits of machine learning for automatic vulnerability detection

N Risse, M Böhme - … USENIX Security Symposium (USENIX Security 24), 2024 - usenix.org
… scores on vulnerability detection benchmarks using machine learning (ML) techniques [1,12…
+and the results seem to be clear: Learningbased models fail to perform well when testing …
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[PDF] sciencedirect.com

Applications of machine learning in supercritical fluids research

L Roach, GM Rignanese, A Erriguible… - The Journal of …, 2023 - Elsevier
… Whilst machine learning is well … to machine learning and discuss its current uses by
+supercritical fluids researchers. In particular, we focus on the most common machine learning …
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[HTML] sciencedirect.com

[HTML][HTML] Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study

SA Salloum, A Bettayeb, A Salloum, A Aburayya… - Informatics in Medicine …, 2023 - Elsevier
… By employing a blend of structural equation modelling (SEM) and machine learning (ML)
+methodologies, along with the analysis of importance-performance maps (IPMA), the research …
Save Cite Cited by 82 Related articles All 3 versions
[PDF] springer.com

Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment

M Squires, X Tao, S Elangovan, R Gururajan, X Zhou… - Brain Informatics, 2023 - Springer
… This paper explores the ways in which modern phenomenons such as machine learning and
+deep learning are contributing to improvements in the detection, diagnosis and treatment of …
Save Cite Cited by 123 Related articles All 13 versions
[PDF] researchgate.net

Hybrid machine learning models to detect signs of depression

S Khan, S Alqahtani - Multimedia Tools and Applications, 2024 - Springer
… Hybrid machine learning models, which combine multiple … performance of hybrid
+machine-learning models for detecting … body of research on using machine learning for mental …
Save Cite Cited by 49 Related articles All 4 versions
[PDF] frontiersin.org

Using machine learning for crop yield prediction in the past or the future

A Morales, FJ Villalobos - Frontiers in Plant Science, 2023 - frontiersin.org
… Strictly speaking, Machine Learning (ML) is a set of techniques to develop systems able to
+learn and adapt with minimal or no human intervention. In a broader sense, it encompasses …
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Current status and future directions: the application of artificial intelligence/machine learning for precision medicine

K Naik, RK Goyal, L Foschini, CW Chak… - Clinical …, 2024 - Wiley Online Library
Technological innovations, such as artificial intelligence (AI) and machine learning (ML),
+have the potential to expedite the goal of precision medicine, especially when combined with …
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+================================================================================ +machine learning - Google Scholar
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[PDF] dergipark.org.tr

Analysis of intrusion detection systems in UNSW-NB15 and NSL-KDD datasets with machine learning algorithms

F Türk - Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 2023 - dergipark.org.tr
… With the use of deep learning and machine learning, attack … using existing machine learning
+and deep learning algorithms. In … The results prove that machine learning algorithms are an …
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[PDF] springer.com

A review of machine learning methods used for educational data

Z Ersozlu, S Taheri, I Koch - Education and Information Technologies, 2024 - Springer
… term “machine learning” because it enabled us a broad search of publications directly related
+to the overarching theme of machine learning … We added the keyword “machine learning …
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[PDF] springer.com

Machine learning-assisted low-dimensional electrocatalysts design for hydrogen evolution reaction

J Li, N Wu, J Zhang, HH Wu, K Pan, Y Wang, G Liu… - Nano-Micro Letters, 2023 - Springer
… of machine learning brings new opportunities for electrocatalysts discovery and design. By
+analyzing experimental and theoretical data, machine learning … in machine learning for low-…
Save Cite Cited by 147 Related articles All 15 versions

Machine learning price index forecasts of flat steel products: B. Jin and X. Xu

B Jin, X Xu - Mineral Economics, 2025 - Springer
Investors and authorities have always placed a high emphasis on commodity price
+forecasting. In this study, the issue of daily price index forecasting for flat steel products on the …
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[PDF] researchgate.net

Internet of things and machine learning-integrated smart robotics

BU Maheswari, SS Imambi, D Hasan… - … on Robotics and …, 2023 - igi-global.com
… Collection topics include Artificial Intelligence, Data Science, Language Learning, Marketing
+… In this chapter, the internet of things (IoT) and machine learning (ML)-integrated smart robot …
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[PDF] springer.com

Medical-informed machine learning: integrating prior knowledge into medical decision systems

C Sirocchi, A Bogliolo, S Montagna - BMC Medical Informatics and …, 2024 - Springer
Background Clinical medicine offers a promising arena for applying Machine Learning (ML)
+models. However, despite numerous studies employing ML in medical data analysis, only a …
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[PDF] nature.com

Machine-learning atomic simulation for heterogeneous catalysis

D Chen, C Shang, ZP Liu - npj Computational Materials, 2023 - nature.com
… New theoretical methods based on machine learning (ML) techniques that emerged in
+recent … It is the purpose of this review to introduce the advance of the latest machine learning …
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[PDF] scholaris.ca

Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review

T Kim, K Behdinan - Journal of Intelligent Manufacturing, 2023 - Springer
… As such, machine learning and deep learning … learning strategies. This article aims to
+provide a comprehensive review on the advancement of machine learning and deep learning …
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[PDF] researchgate.net

[PDF][PDF] Machine learning for intrusion detection in cloud environments: A comparative study

QO Ahmed - Journal of Artificial Intelligence General science …, 2024 - researchgate.net
… This paper presents a comparative study of machine learning (ML) techniques used in intrusion
+… The findings provide valuable insights into the selection of appropriate machine learning …
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[PDF] semanticscholar.org

[PDF][PDF] Utilizing machine learning to reassess the predictability of bank stocks

H Antonopoulou… - Emerging Science …, 2023 - pdfs.semanticscholar.org
… several machine learning, and deep learning techniques. The usage of machine learning
+as opposed to linear regression methodologies relies on the fact that machine learning …
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[HTML] mdpi.com

[HTML][HTML] Analyzing sentiments regarding ChatGPT using novel BERT: A machine learning approach

M Mujahid, F Rustam, R Shafique, V Chunduri… - Information, 2023 - mdpi.com
… Deep learning and machine learning are both forms of artificial intelligence [54]. Classification
+of text using machine learning entails the transformation of input data into a numeric form. …
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[PDF] naukaip.ru

The role of machine learning in enhancing computer vision processing

C Guo, Y Zhao, T Liu, C Yang - … ВОПРОСЫ СОВРЕМЕННЫХ НАУЧНЫХ …, 2023 - elibrary.ru
… of machine learning is crucial. To ensure the effectiveness of machine learning algorithms
+… This includes the application of machine learning techniques in computer vision tasks such …
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[HTML] mdpi.com

[HTML][HTML] Application of machine learning in fuel cell research

D Su, J Zheng, J Ma, Z Dong, Z Chen, Y Qin - Energies, 2023 - mdpi.com
… common machine learning algorithms in fuel cells. The significance and status of machine
+learning applications in fuel cells are briefly described. Common machine learning algorithms…
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An adaptive learning environment for programming based on fuzzy logic and machine learning

K Chrysafiadi, M Virvou, GA Tsihrintzis… - … Journal on Artificial …, 2023 - World Scientific
… delivered learning material and the lesson sequence to the knowledge level and learning …
+The adaptation of the presented ITS is based on fuzzy logic and a machine learning technique…
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[HTML] frontiersin.org

[HTML][HTML] Common statistical concepts in the supervised Machine Learning arena

HH Rashidi, S Albahra, S Robertson, NK Tran… - Frontiers in …, 2023 - frontiersin.org
One of the core elements of Machine Learning (ML) is statistics and its embedded foundational
+rules and without its appropriate integration, ML as we know would not exist. Various …
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[HTML] mdpi.com

[HTML][HTML] A machine learning approach to predicting academic performance in Pennsylvania's schools

S Chen, Y Ding - Social Sciences, 2023 - mdpi.com
… used ‘black box’ machine learning models extended with education … , logistic regression,
+support vector machine, and neural network … the feasibility of machine learning as an auxiliary …
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ASD Diagnosis in Children, Adults, and Adolescents using Various Machine Learning Techniques

P Rawat, M Bajaj, S Vats… - … Conference on Device …, 2023 - ieeexplore.ieee.org
… study investigates the use of machine learning to diagnose ASD. … to train and evaluate
+machine learning algorithms. The findings … This implies that machine learning may be a useful …
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[PDF] nature.com

Informing immunotherapy with multi-omics driven machine learning

Y Li, X Wu, D Fang, Y Luo - npj Digital Medicine, 2024 - nature.com
… We provide an overview of machine learning methodologies applicable to different aspects
+… ML machine learning, DEG differentially expressed gene, RFE recursive feature elimination, …
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Comparative analysis of crop diseases detection using machine learning algorithm

P Jha, D Dembla, W Dubey - 2023 Third International …, 2023 - ieeexplore.ieee.org
… recognition and grouping procedures in Machine learning. This study has concentrated on
+Digital Image handling Techniques and Machine Learning Classification Technique used in …
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[HTML] sciencedirect.com

[HTML][HTML] Predicting maritime accident risk using Automated Machine Learning

ZH Munim, MA Sørli, H Kim, I Alon - Reliability Engineering & System Safety, 2024 - Elsevier
Abstract Machine learning (ML), particularly, Automated machine learning (AutoML) offers a
+range of possibilities for analysing large volumes of historical maritime accidents data with …
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[PDF] nih.gov

Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis

AKVN Biju, AS Thomas, J Thasneem - Quality & Quantity, 2023 - pmc.ncbi.nlm.nih.gov
… This paper surveys the extant literature on machine learning, artificial intelligence, and
+deep learning mechanisms within the financial sphere using bibliometric methods. We …
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A novel hybrid machine learning model for prediction of CO2 using socio-economic and energy attributes for climate change monitoring and mitigation policies

S Kumar - Ecological informatics, 2023 - Elsevier
… application of machine learning approaches … machine learning approaches is compared
+on accuracy and efficiency and performs better than other machine learning and deep learning …
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[HTML] mdpi.com

[HTML][HTML] Effective handling of missing values in datasets for classification using machine learning methods

A Palanivinayagam, R Damaševičius - Information, 2023 - mdpi.com
… of five different machine learning models: Naive Bayes (NB), Support Vector Machine (SVM)…
+can notably improve the performance of machine learning models for diabetes classification. …
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[HTML] mdpi.com

[HTML][HTML] A review of hydrodynamic and machine learning approaches for flood inundation modeling

F Karim, MA Armin, D Ahmedt-Aristizabal… - Water, 2023 - mdpi.com
… machine learning that are relevant to flood inundation modeling. These are data, models,
+learning… Since we do not aim to provide a comprehensive introduction to machine learning, we …
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[HTML] mdpi.com

[HTML][HTML] Enhancing smart-contract security through machine learning: A survey of approaches and techniques

F Jiang, K Chao, J Xiao, Q Liu, K Gu, J Wu, Y Cao - Electronics, 2023 - mdpi.com
… machine learning. However, during this process, we noticed a concerning phenomenon: while
+machine learning … review literature specifically addressing machine-learning-based smart-…
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[HTML] academia.edu

[HTML][HTML] SEM-machine learning-based model for perusing the adoption of metaverse in higher education in UAE

Y Shaalan - International Journal of Data and Network Science, 2023 - academia.edu
… machine learning The study's objective will use classification techniques from machine learning
+… PLS-SEM and classification using machine learning strategies for the proposed model. …
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[PDF] researchgate.net

Comparison of three machine learning algorithms using google earth engine for land use land cover classification

Z Zhao, F Islam, LA Waseem, A Tariq, M Nawaz… - Rangeland ecology & …, 2024 - Elsevier
… machine learning algorithms to apply this cloud platform for Land Use Land Cover (LULC)
+research in the Mardan, Pakistan. The machine learning … of various machine learning models (…
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[HTML] mdpi.com

[HTML][HTML] Machine learning-based method for predicting compressive strength of concrete

D Li, Z Tang, Q Kang, X Zhang, Y Li - Processes, 2023 - mdpi.com
… , the method of machine learning has been widely used in … regression methods, machine
+learning can build prediction … compressive strength by machine learning has become a …
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[HTML] sciencedirect.com

[HTML][HTML] Energy poverty prediction in the United Kingdom: A machine learning approach

D Al Kez, A Foley, ZK Abdul, DF Del Rio - Energy Policy, 2024 - Elsevier
… Through machine learning, this study investigates the … In doing so, this research develops a
+machine learning-based approach to … The findings indicate that a machine learning algorithm …
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[PDF] nih.gov

Machine learning and deep learning for brain tumor MRI image segmentation

MKH Khan, W Guo, J Liu, F Dong, Z Li… - Experimental …, 2023 - journals.sagepub.com
… A systematic review of machine learning and deep learning … applications of machine learning
+and deep learning for brain … summarizes machine learning and deep learning algorithms …
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+================================================================================ +machine learning - Google Scholar
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[HTML] sciencedirect.com

[HTML][HTML] A machine learning method for the prediction of ship motion trajectories in real operational conditions

M Zhang, P Kujala, M Musharraf, J Zhang, S Hirdaris - Ocean Engineering, 2023 - Elsevier
This paper presents a big data analytics method for the proactive mitigation of grounding risk.
+The model encompasses the dynamics of ship motion trajectories while accounting for …
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[PDF] thelancet.comFull View

Machine learning in radiology: the new frontier in interstitial lung diseases

H Barnes, SM Humphries, PM George… - The Lancet Digital …, 2023 - thelancet.com
… how machine learning can be applied to image biomarker research to close these gaps.
+Machine-learning … opportunities to use machine learning that incorporates deep-learning-based …
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[PDF] researchgate.net

Machine-learning-based monitoring and optimization of processing parameters in 3D printing

TS Tamir, G Xiong, Q Fang, Y Yang… - … Journal of Computer …, 2023 - Taylor & Francis
… As the core of this research work, Section 3 introduces the methods for machine learning
+and collection of datasets in the domain of AM. Section 4 presents feedback control algorithm …
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[HTML][HTML] Birthweight range prediction and classification: A machine learning-based sustainable approach

DA Alabbad, SY Ajibi, RB Alotaibi, NK Alsqer… - Machine Learning and …, 2024 - mdpi.com
… machine learning has become increasingly popular in healthcare. Also, researchers have
+examined the utilization of machine learning … infants using a machine learning approach. Their …
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[PDF] nature.com

Photonic machine learning with on-chip diffractive optics

T Fu, Y Zang, Y Huang, Z Du, H Huang, C Hu… - Nature …, 2023 - nature.com
… Machine learning technologies have been extensively … potential for executing deep learning
+processes that involve … is proposed to perform machine learning tasks with high integration …
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[PDF] cell.comFull View

Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review

SD Datta, M Islam, MHR Sobuz, S Ahmed, M Kar - Heliyon, 2024 - cell.com
… capabilities in perceiving and learning inputs. These capabilities … Conversely, machine
+learning is recognized as the process of … For example, machine learning techniques have been …
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[HTML] mdpi.com

[HTML][HTML] Survey of transfer learning approaches in the machine learning of digital health sensing data

L Chato, E Regentova - Journal of personalized medicine, 2023 - mdpi.com
… machine learning applications, including transfer learning. The second part discusses the
+meaning of transfer learning… It also explains transfer learning methods and strategies, and their …
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Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems

H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delves into the transformative role of machine learning (ML) techniques in
+revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains such …
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[PDF] ieee.org

Toward secured IoT-based smart systems using machine learning

MS Abdalzaher, MM Fouda, HA Elsayed… - IEEE access, 2023 - ieeexplore.ieee.org
Machine learning (ML) and the internet of things (IoT) are among the most booming research
+directions. Smart cities, smart campuses (SCs), smart homes, smart cars, early warning …
Save Cite Cited by 62 Related articles All 2 versions
[PDF] nature.com

Applying machine learning algorithms to predict the stock price trend in the stock market–The case of Vietnam

T Phuoc, PTK Anh, PH Tam, CV Nguyen - Humanities and Social …, 2024 - nature.com
The aims of this study are to predict the stock price trend in the stock market in an emerging
+economy. Using the Long Short Term Memory (LSTM) algorithm, and the corresponding …
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+================================================================================ +machine learning - Google Scholar
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Page 68 of about 642,000 results (0.16 sec)
[PDF] academia.edu

[PDF][PDF] Involving machine learning techniques in heart disease diagnosis: a performance analysis

BS Shukur, MM Mijwil - International Journal of Electrical and …, 2023 - academia.edu
… The principal contribution of this article is to execute five machine learning techniques and …
+and 2022 on the use of machine learning and deep learning techniques in the diagnosis and …
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[HTML] sciencedirect.com

[HTML][HTML] Machine learning meets advanced robotic manipulation

S Nahavandi, R Alizadehsani, D Nahavandi, CP Lim… - Information …, 2024 - Elsevier
… Machine learning methods have the potential to learn such controllers based on expert
+demonstrations. Despite promising advances, better approaches must be developed to improve …
Save Cite Cited by 28 Related articles All 7 versions
[PDF] cell.comFull View

Applications of artificial intelligence and machine learning in the financial services industry: A bibliometric review

D Pattnaik, S Ray, R Raman - Heliyon, 2024 - cell.com
This bibliometric review examines the research state of artificial intelligence (AI) and machine
+learning (ML) applications in the Banking, Financial Services, and Insurance (BFSI) sector. …
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[HTML][HTML] A supervised machine learning algorithm for detecting and predicting fraud in credit card transactions

JK Afriyie, K Tawiah, WA Pels, S Addai-Henne… - Decision Analytics …, 2023 - Elsevier
… With the advancement in data science and machine learning… We study the performance of
+three different machine learning … forest as the most appropriate machine learning algorithm for …
Save Cite Cited by 187 Related articles
[PDF] arxiv.org

A review of machine learning methods applied to structural dynamics and vibroacoustic

BZ Cunha, C Droz, AM Zine, S Foulard… - Mechanical Systems and …, 2023 - Elsevier
The use of Machine Learning (ML) has rapidly spread across several fields of applied
+sciences, having encountered many applications in Structural Dynamics and Vibroacoustic (SD&V)…
Save Cite Cited by 158 Related articles All 11 versions
[PDF] springer.com

Machine learning for human emotion recognition: a comprehensive review

EMG Younis, S Mohsen, EH Houssein… - Neural Computing and …, 2024 - Springer
Emotion is an interdisciplinary research field investigated by many research areas such as
+psychology, philosophy, computing, and others. Emotions influence how we make decisions, …
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[PDF] cureus.com

[PDF][PDF] Artificial intelligence and machine learning in pharmacological research: bridging the gap between data and drug discovery

S Singh, R Kumar, S Payra, SK Singh - Cureus, 2023 - cureus.com
… research through machine learning, deep learning, and natural … Machine learning models
+extract patterns from complex datasets, … In summary, machine learning is a broader concept …
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[PDF] acs.org

Machine learning in membrane design: From property prediction to AI-guided optimization

Z Cao, O Barati Farimani, J Ock, A Barati Farimani - Nano letters, 2024 - ACS Publications
… Recently, inspired by the significant success of machine learning (ML) in many areas of …
+efforts on three types of applications of machine learning in membrane design, including (1) …
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[PDF] springer.com

Machine learning-based approach for predicting low birth weight

A Ranjbar, F Montazeri, MV Farashah… - BMC Pregnancy and …, 2023 - Springer
… The current study employed a machine learning model to predict LBW. … machine learning
+model. Scikit-learn was used to implement the ML algorithm. Scikit-learn is a machine-learning …
Save Cite Cited by 39 Related articles All 11 versions
[PDF] researchgate.net

The smart analysis of machine learning-based diagnostics model of cardiovascular diseases in patients

J Mistry, SC Patil, B Muniandi, N Jiwani… - … IEEE Technology & …, 2023 - ieeexplore.ieee.org
… a machine learning-based diagnostic tool called the Smart Analysis of Machine Learning-…
+It is based on the machine learning and used to classify cardiac conditions in real-time on …
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[PDF] usenix.org

{SecretFlow-SPU}: A performant and {User-Friendly} framework for {Privacy-Preserving} machine learning

J Ma, Y Zheng, J Feng, D Zhao, H Wu, W Fang… - 2023 USeNIX annual …, 2023 - usenix.org
… and privacy protection, privacy-preserving machine learning (PPML) has become a research
+… Existing solutions require users to make efforts to port machine learning (ML) programs by …
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[HTML] mdpi.com

[HTML][HTML] Machine learning for enhanced credit risk assessment: An empirical approach

N Suhadolnik, J Ueyama, S Da Silva - Journal of Risk and Financial …, 2023 - mdpi.com
… , particularly machine learning, for credit decisions. This paper assesses ten machine learning
+… We also summarize key statistical and machine learning models in credit scoring and …
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[HTML] google.com

[HTML][HTML] Smartfix: Leveraging machine learning for proactive equipment maintenance in industry 4.0

F Ni, H Zang, Y Qiao - … in education: prospects and challenges of …, 2024 - books.google.com
… called SmartFix that leverages machine learning to transform traditional maintenance …
+approach, SmartFix, which utilizes machine learning techniques and aims to proactively identify …
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[HTML] mdpi.com

[HTML][HTML] Electric vehicle charging system in the smart grid using different machine learning methods

T Mazhar, RN Asif, MA Malik, MA Nadeem, I Haq… - Sustainability, 2023 - mdpi.com
… The subject of our second analysis is the effectiveness of various machine learning (ML) …
+fluctuations, and charging costs, we optimize using the best machine learning algorithm. …
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[HTML] mdpi.com

[HTML][HTML] A review for green energy machine learning and AI services

Y Mehta, R Xu, B Lim, J Wu, J Gao - Energies, 2023 - mdpi.com
… This article also highlights the accuracy levels of machine learning algorithms for various
+time periods. The process of choosing the appropriate input parameters for weather, locations, …
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[HTML] sciencedirect.com

[HTML][HTML] Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models

CLA Navarro, JAA Damen, M van Smeden… - Journal of Clinical …, 2023 - Elsevier
Background and Objectives We sought to summarize the study design, modelling strategies,
+and performance measures reported in studies on clinical prediction models developed …
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[PDF] aps.org

Artificial intelligence and machine learning for quantum technologies

M Krenn, J Landgraf, T Foesel, F Marquardt - Physical Review A, 2023 - APS
… the very educational lecture notes introducing machine learning techniques with a view to
+their … , eg, about machine learning applied to physics in general [11,12] or machine learning for …
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[HTML] biofueljournal.com

[HTML][HTML] Machine-learning-aided thermochemical treatment of biomass: a review

H Li, J Chen, W Zhang, H Zhan, C He… - Biofuel Research …, 2023 - biofueljournal.com
Thermochemical treatment is a promising technique for biomass disposal and valorization.
+Recently, machine learning (ML) has been extensively used to predict yields, compositions, …
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[HTML] sciencedirect.com

[HTML][HTML] Using Machine Learning to make nanomaterials sustainable

JJ Scott-Fordsmand, MJB Amorim - Science of The Total Environment, 2023 - Elsevier
… In this review article, we illustrate how Machine Learning (ML) could support more
+sustainable development, covering the basics of data gathering through each step of the …
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[PDF] sagepub.comFull View

Best practices in supervised machine learning: A tutorial for psychologists

F Pargent, R Schoedel, C Stachl - Advances in Methods and …, 2023 - journals.sagepub.com
… Supervised machine learning (ML) is becoming an influential analytical method in … Over
+the past decade, supervised machine learning (ML) has appeared with increasing frequency in …
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[PDF] nih.gov

Recent developments in modeling, imaging, and monitoring of cardiovascular diseases using machine learning

H Moradi, A Al-Hourani, G Concilia, F Khoshmanesh… - Biophysical …, 2023 - Springer
… how leveraging machine learning techniques, and in particular deep learning methods, …
+We discuss the remarkable capacity of recently developed machine learning techniques to …
Save Cite Cited by 58 Related articles All 10 versions
[PDF] acs.orgFull View

Chemistry-informed machine learning for polymer electrolyte discovery

G Bradford, J Lopez, J Ruza, MA Stolberg… - ACS Central …, 2023 - ACS Publications
… In this work we build on recent advances in machine learning to develop a chemistry-informed
+ML model that predicts SPE ionic conductivity based on the electrolyte molecular structure …
Save Cite Cited by 99 Related articles All 9 versions

Impacts of 5G Machine Learning Techniques on Telemedicine and Social Media Professional Connection in Healthcare

PSS Sreedhar, V Sujay, MR Rani, L Melita… - … Trends Using Social …, 2024 - igi-global.com
… , machine learning, … machine learning. The chapter also discusses the foundations of 5G
+technology, its implications for telemedicine, and the ethical considerations of machine learning …
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[PDF] ibreeding.cn

Machine learning bridges omics sciences and plant breeding

J Yan, X Wang - Trends in Plant Science, 2023 - cell.com
… To bridge basic research and breeding practice, machine learning (ML) holds great promise
+to … We also highlight applications of deep learning in plant phenomics and ML in genomic …
Save Cite Cited by 116 Related articles All 9 versions
[PDF] researchgate.net

Integrating artificial intelligence, machine learning, and deep learning approaches into remediation of contaminated sites: A review

JK Janga, KR Reddy, K Raviteja - Chemosphere, 2023 - Elsevier
The growing number of contaminated sites across the world pose a considerable threat to the
+environment and human health. Remediating such sites is a cumbersome process with the …
Save Cite Cited by 63 Related articles All 6 versions

Ransomware classification using btls algorithm and machine learning approaches

S Wasoye, M Stevens, C Morgan, D Hughes, J Walker - 2024 - researchsquare.com
… Lightweight Signature (BTLS) algorithm with machine learning models, aiming to enhance
+the … techniques and advancing the state of machine learning-driven cybersecurity solutions. …
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Hybrid‐NET: a fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis

SUR Khan, M Zhao, S Asif… - International Journal of …, 2024 - Wiley Online Library
… used with machine learning classifiers to determine if MR scans belong to the brain tumor
+group. We compared the features of eight models using seven machine learning classifiers …
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[HTML] mdpi.com

[HTML][HTML] Water quality prediction based on machine learning and comprehensive weighting methods

X Wang, Y Li, Q Qiao, A Tavares, Y Liang - Entropy, 2023 - mdpi.com
… Furthermore, this study explored several machine learning models for water quality prediction,
+including Support Vector Machines (SVMs), Multilayer Perceptron (MLP), Random Forest (…
Save Cite Cited by 75 Related articles All 11 versions Cached

Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data.

A Ayodele, A Adetunla… - International Journal of …, 2024 - search.ebscohost.com
… Despite the availability of treatments, many cases go undetected, highlighting the need for
+an accurate machine learning (ML) prediction model for depression severity and risk factors, …
Save Cite Cited by 103 Related articles All 2 versions
[PDF] springer.com

Copyright law and the lifecycle of machine learning models

M Kretschmer, T Margoni, P Oruç - IIC-International Review of Intellectual …, 2024 - Springer
… The technology of machine learning has developed in a legally grey zone, relying on an …
+In this paper, we aim to understand how machine learning technology developed as a set of …
Save Cite Cited by 45 Related articles All 5 versions Library Search
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Page 71 of about 642,000 results (0.22 sec)
[PDF] allmultidisciplinaryjournal.com

[PDF][PDF] Transforming cardiac care: AI and machine learning innovations

MT Ali, U Ali, S Ali, H Tanveer - International …, 2024 - allmultidisciplinaryjournal.com
… A seminal study demonstrated the effectiveness of deep learning … machine learning algorithms
+in predicting adverse … A study evaluated the effectiveness of a machine learning-based …
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Groundwater level forecasting with machine learning models: A review

KBW Boo, A El-Shafie, F Othman, MMH Khan… - Water Research, 2024 - Elsevier
… In recent years, there has been a notable increase in the use of machine learning (ML)
+techniques to model GWL, with many studies reporting exceptional results. In this paper, we …
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[HTML] sciencedirect.com

[HTML][HTML] Performance analysis of the water quality index model for predicting water state using machine learning techniques

MG Uddin, S Nash, A Rahman, AI Olbert - Process Safety and …, 2023 - Elsevier
… In the present study, four machine-learning classifier algorithms, including support vector
+machines (SVM), Naïve Bayes (NB), random forest (RF), k-nearest neighbour (KNN), and …
Save Cite Cited by 249 Related articles All 10 versions

Optimizing Web Interfaces with AI-Generated CSS Through Machine Learning and Deep Learning

R Bhutia, SAK Dave, IR Mallela, R Mall… - … on System Modeling …, 2024 - ieeexplore.ieee.org
… vision and machine learning techniques. This innovation in computer vision and machine
+learning for picture categorization and recognition sparked an interest in deep learning. …
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[HTML][HTML] Machine learning in clinical trials: a primer with applications to neurology

MI Miller, LC Shih, VB Kolachalama - Neurotherapeutics, 2023 - Elsevier
We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML)
+and discussed ways in which these methodologies may be employed to enhance progress in …
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[PDF] oup.comFull View

Topology optimization via machine learning and deep learning: a review

S Shin, D Shin, N Kang - Journal of Computational Design and …, 2023 - academic.oup.com
… At the same time, machine learning (ML) methodology including deep learning has made
+great progress in the 21st century, and accordingly, many studies have been conducted to …
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[HTML] mdpi.com

[HTML][HTML] Machine learning applications in optical fiber sensing: A research agenda

E Reyes-Vera, A Valencia-Arias, V García-Pineda… - Sensors, 2024 - mdpi.com
… Current research focuses on applying various machine learning … Furthermore, machine
+learning techniques have been used … learning (NResNetRNN_QCL) [4]. In this additional study, a …
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[PDF] wiley.com

Machine learning‐assisted property prediction of solid‐state electrolyte

J Li, M Zhou, HH Wu, L Wang, J Zhang… - Advanced Energy …, 2024 - Wiley Online Library
Abstract Machine learning (ML) exhibits substantial potential for predicting the properties of
+solid‐state electrolytes (SSEs). By integrating experimental or/and simulation data within ML …
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[HTML][HTML] Supply chain risk management with machine learning technology: A literature review and future research directions

M Yang, MK Lim, Y Qu, D Ni, Z Xiao - Computers & Industrial Engineering, 2023 - Elsevier
Coronavirus disease 2019 (COVID-19) has placed tremendous pressure on supply chain
+risk management (SCRM) worldwide. Recent technological advances, especially machine …
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[HTML] mdpi.com

[HTML][HTML] Use of machine learning techniques in soil classification

Y Aydın, Ü Işıkdağ, G Bekdaş, SM Nigdeli, ZW Geem - Sustainability, 2023 - mdpi.com
… A general scheme of the supervised machine learning process is implemented in this study,
+as illustrated in Figure 7. The dataset used in this study has a multi-class categorical target …
Save Cite Cited by 69 Related articles All 12 versions Cached
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Page 72 of about 642,000 results (0.20 sec)

RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials

F Kazemi, AӦ Çiftçioğlu, T Shafighfard… - Computers & …, 2025 - Elsevier
… multi-subject ensemble machine-learning (ML) method (named RAGN-R) for estimating
+mechanical properties of aforementioned advanced materials. The proposed learning approach, …
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[PDF] wiley.com

Interpretable machine learning for dementia: a systematic review

SA Martin, FJ Townend, F Barkhof… - Alzheimer's & …, 2023 - Wiley Online Library
… We conducted a systematic review of studies that used machine learning or deep learning
+for diagnostic classification of dementia and interpret the results either using post hoc analysis …
Save Cite Cited by 93 Related articles All 8 versions
[PDF] ssrn.com

Prediction heavy metals accumulation risk in rice using machine learning and mapping pollution risk

B Zhao, W Zhu, S Hao, M Hua, Q Liao, Y Jing… - Journal of Hazardous …, 2023 - Elsevier
Rapid and accurate prediction of metal bioaccumulation in crops are important for assessing
+metal environmental risks. We aimed to incorporate machine learning modeling methods to …
Save Cite Cited by 97 Related articles All 6 versions

Hematology and machine learning

AE Obstfeld - The Journal of Applied Laboratory Medicine, 2023 - academic.oup.com
… coupled with the latest developments in machine learning have opened new avenues of …
+laboratory data with the aim of improving workflow or diagnostics through machine learning. …
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[HTML][HTML] Machine learning-based design for additive manufacturing in biomedical engineering

C Wu, B Wan, A Entezari, J Fang, Y Xu, Q Li - International Journal of …, 2024 - Elsevier
… To address this challenge, a machine learning (ML)-based design approach is proposed
+herein where ceramic 3D printing techniques are combined to fabricate functionally graded …
Save Cite Cited by 53 Related articles All 3 versions
[PDF] researchgate.net

[PDF][PDF] A State-of-the-Art Review on Machine Learning-Based Multiscale Modeling, Simulation, Homogenization and Design of Materials.

D Bishara, Y Xie, WK Liu, S Li - Archives of computational methods …, 2023 - researchgate.net
… machine learning technology in computational materials and computational mechanics, the
+machine learning-… In this paper, we aim at a state-of-the-art review on the machine learning-…
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[HTML] peerj.com

[HTML][HTML] Revolutionizing market surveillance: customer relationship management with machine learning

X Shi, Y Zhang, M Yu, L Zhang - PeerJ Computer Science, 2024 - peerj.com
… Although single-model approaches are common and have been discussed in literature,
+this research contributes to the conversation by showing that using multiple machine learning …
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[PDF] nature.com

Machine learning models to accelerate the design of polymeric long-acting injectables

P Bannigan, Z Bao, RJ Hickman, M Aldeghi… - Nature …, 2023 - nature.com
… Machine learning is enabling leap-step advances in a number of fields including drug … Here
+we show that machine learning algorithms can be used to predict experimental drug release …
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[HTML] sciencedirect.com

[HTML][HTML] Machine learning approaches in predicting allosteric sites

F Nerin-Fonz, Z Cournia - Current Opinion in Structural Biology, 2024 - Elsevier
… Building on the success of machine learning (ML) models for solving complex problems in
+biology and chemistry, several ML models for predicting allosteric sites have been developed. …
Save Cite Cited by 36 Related articles All 6 versions

Acoustic fish species identification using deep learning and machine learning algorithms: A systematic review

A Yassir, SJ Andaloussi, O Ouchetto, K Mamza… - Fisheries …, 2023 - Elsevier
… Meanwhile, deep learning and machine learning-based … of different deep learning and
+machine learning applications in … using deep learning and machine learning approaches. This …
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+================================================================================ +machine learning - Google Scholar
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Page 73 of about 642,000 results (0.18 sec)

A survey of bone abnormalities detection using machine learning algorithms

AMA Barhoom, MR Jubair… - PROCEEDINGS OF THE …, 2023 - pubs.aip.org
… review of bone abnormalities that used machine learning or Deep Learning as a mean of
+detection … The result is that it is possible in the future develop a deep learning model to detect …
Save Cite Cited by 45 Related articles All 3 versions
[PDF] nature.com

Harnessing machine learning to find synergistic combinations for FDA-approved cancer drugs

T Abd El-Hafeez, MY Shams, YAMM Elshaier… - Scientific reports, 2024 - nature.com
… This study presents a machine learning framework to classify and predict cancer drug …
+This machine learning framework provides a valuable approach to uncover more effective …
Save Cite Cited by 63 Related articles All 8 versions

Development and application of traditional Chinese medicine using AI machine learning and deep learning strategies

D Pan, Y Guo, Y Fan, H Wan - The American Journal of Chinese …, 2024 - World Scientific
… Ongoing developments in machine learning (ML) and deep learning (DL), specifically in
+computer vision (CV) and natural language processing (NLP), offer novel opportunities to …
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[HTML][HTML] Application of machine learning in automatic image identification of insects-a review

Y Gao, X Xue, G Qin, K Li, J Liu, Y Zhang, X Li - Ecological Informatics, 2024 - Elsevier
… machine learning (ML) can greatly improve efficiency. ML is a promising approach for the
+automatic image identification, including traditional machine learning (TML) and deep learning …
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[PDF] sciencedirect.com

Physics-informed machine learning for battery degradation diagnostics: A comparison of state-of-the-art methods

S Navidi, A Thelen, T Li, C Hu - Energy Storage Materials, 2024 - Elsevier
… advances in physics-informed machine learning (PIML) for … for building physics-informed
+machine learning models and … each physics-informed machine learning method, providing …
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[PDF] arxiv.org

Data cleaning and machine learning: a systematic literature review

PO Côté, A Nikanjam, N Ahmed, D Humeniuk… - Automated Software …, 2024 - Springer
… , and then integrated into other components in Machine Learning Software Systems (MLSSs). …
+is: machine learning, deep learning, neural network, reinforcement learning, supervised …
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[HTML][HTML] How machine learning is used to study addiction in digital healthcare: A systematic review

B Chhetri, LM Goyal, M Mittal - International Journal of Information …, 2023 - Elsevier
Long-term use of drugs can sometimes result in brain damage that greatly affects a person's
+psychology and sometimes become indecent. This paper examines psychological disorders …
Save Cite Cited by 59 Related articles

Oil spill classification using Machine learning

KK Ravulakollu, R Dewan, K Verma… - … on Computing for …, 2024 - ieeexplore.ieee.org
… Machine Learning (ML) will perform better in identifying and classifying oil spills in aquatic
+… Furthermore, improvements in deep learning methodologies support the creation of more …
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[HTML][HTML] Machine learning approaches to predict compressive strength of fly ash-based geopolymer concrete: A comprehensive review

M Rathnayaka, D Karunasinghe, C Gunasekara… - … and Building Materials, 2024 - Elsevier
… on machine learning methodologies to … the machine learning model development are
+categorized based on feature selection or feature extraction. Secondly, available machine learning …
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[HTML][HTML] Comparative study of machine learning methods and GR2M model for monthly runoff prediction

P Ditthakit, S Pinthong, N Salaeh, J Weekaew… - Ain Shams Engineering …, 2023 - Elsevier
… This article aims to comparatively investigate the applicability of machine learning (ML)
+methods (ie, Random Forest (RF), M5 model tree (M5), Support Vector Regression with …
Save Cite Cited by 49 Related articles All 2 versions
+================================================================================ +machine learning - Google Scholar
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Page 74 of about 642,000 results (0.22 sec)

The Role of AI and Machine Learning in Optimising Cloud Migration Processes.

G Simuni, A Atla - … of Business Analytics & Intelligence (IJBAI …, 2024 - search.ebscohost.com
… Machine Learning techniques in banking contexts, focusing on B2B banking and green
+finance, identifying the impact of Machine Learning … and adaptive machine learning, especially …
Save Cite Cited by 28 Related articles

Application of Deep Neural Networks and Machine Learning algorithms for diagnosis of Brain tumour

S Wani, S Ahuja, A Kumar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
… (RFC), Gaussian Naive Bayes (GNB), Support Vector Classifier (SVC), and two boosting
+classifiers such as XG Boost and gradient boosting classifiers are among the machine learning …
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[PDF] acm.org

" We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning

S Shankar, R Garcia, JM Hellerstein… - Proceedings of the …, 2024 - dl.acm.org
… “machine learning engineer” or “deep learning engineer” in their job titles, our work complements
+their findings by focusing only on self-declared ML engineers responsible for repeated-…
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[HTML] mdpi.com

[HTML][HTML] Metaverse and healthcare: Machine learning-enabled digital twins of cancer

O Moztarzadeh, M Jamshidi, S Sargolzaei, A Jamshidi… - Bioengineering, 2023 - mdpi.com
… The use of digital twinning and machine learning in this case study demonstrates the
+potential of this technology in revolutionizing the diagnosis and treatment of breast cancer, …
Save Cite Cited by 117 Related articles All 9 versions Cached
[PDF] jair.org

How to dp-fy ml: A practical guide to machine learning with differential privacy

N Ponomareva, H Hazimeh, A Kurakin, Z Xu… - Journal of Artificial …, 2023 - jair.org
… In what follows, we will use a standard machine learning terminology and refer to the
+database of interest as a dataset. Next, we formalize the notion of differential privacy. …
Save Cite Cited by 278 Related articles All 5 versions View as HTML
[PDF] bonviewpress.com

Comparing BERT against traditional machine learning models in text classification

EC Garrido-Merchan… - Journal of …, 2023 - ojs.bonviewpress.com
… Then, we empirically test with a suite of different scenarios the behavior of BERT against
+traditional term frequency – inverse document frequency vocabulary fed to machine learning …
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[PDF] nature.com

Investigation of emergency department abandonment rates using machine learning algorithms in a single centre study

MR Marino, TA Trunfio, AM Ponsiglione, F Amato… - Scientific Reports, 2024 - nature.com
… Machine Learning (ML) algorithms are learning function that map input variables to an
+output value to make predictions. This general learning task allows making future predictions …
Save Cite Cited by 26 Related articles All 11 versions

Intelligent decision support systems in construction engineering: An artificial intelligence and machine learning approaches

A Waqar - Expert Systems with Applications, 2024 - Elsevier
… of Artificial Intelligence (AI) and Machine Learning (ML) methodologies. These systems …
+, sustainable construction practices, and human–machine collaboration. The results of this …
Save Cite Cited by 65 Related articles All 2 versions
[PDF] nih.gov

Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning

H Hu, J Xu, M Liu, MK Lim - Journal of business research, 2023 - Elsevier
… The system combines blockchain, internet of things (IoT), and machine learning that effectively
+… Machine learning predicts vaccine demand and conducts sentiment analysis on vaccine …
Save Cite Cited by 184 Related articles All 8 versions
[PDF] springer.com

Subtleties in the trainability of quantum machine learning models

S Thanasilp, S Wang, NA Nghiem, P Coles… - Quantum Machine …, 2023 - Springer
… This field, called quantum machine learning (QML), aims to achieve a speedup over
+traditional machine learning for data analysis. However, its success usually hinges on efficiently …
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+================================================================================ +machine learning - Google Scholar
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Page 75 of about 642,000 results (0.17 sec)
[PDF] wiley.com

Application of machine learning in polymer additive manufacturing: A review

T Nasrin, F Pourkamali‐Anaraki… - Journal of Polymer …, 2024 - Wiley Online Library
… A guide for applying machine learning techniques to common types of tasks associated
+with polymer additive manufacturing based on the type and amount of data available. …
Save Cite Cited by 58 Related articles All 2 versions

A mechanistic review on machine learning-supported detection and analysis of volatile organic compounds for food quality and safety

Y Feng, Y Wang, B Beykal, M Qiao, Z Xiao… - Trends in Food Science & …, 2024 - Elsevier
… Machine learning (ML) -supported electronic nose (EN), colorimetric sensor array (CSA),
+and gas chromatography (GC) hyphened techniques (eg, GC-MS and GC-IMS) are becoming a …
Save Cite Cited by 63 Related articles All 2 versions
[HTML] sciencedirect.com

[HTML][HTML] Customer churning analysis using machine learning algorithms

B Prabadevi, R Shalini, BR Kavitha - International Journal of Intelligent …, 2023 - Elsevier
… Consequently, this study aims to advise on the optimum machine-learning strategy for
+early client churn prediction. The data included in this investigation includes all customer data …
Save Cite Cited by 90 Related articles All 2 versions
[PDF] nature.com

Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations

D Doudesis, KK Lee, J Boeddinghaus, A Bularga… - Nature Medicine, 2023 - nature.com
… In this study, we hypothesized that machine learning approaches to integrate cardiac … (CoDE-ACS)
+that uses machine learning models to calculate the probability of myocardial …
Save Cite Cited by 120 Related articles All 18 versions
[PDF] ieee.org

Machine learning with computer networks: techniques, datasets, and models

H Afifi, S Pochaba, A Boltres, D Laniewski… - IEEE …, 2024 - ieeexplore.ieee.org
… Conversely, networks are essential for facilitating machine learning training and inference, …
+research regarding machine learning for networks or using networks for machine learning. …
Save Cite Cited by 24 Related articles All 9 versions
[PDF] researchgate.net

Artificial intelligence based models to support water quality prediction using machine learning approach

P William, OJ Oyebode, G Ramu… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
The purpose of this study is to simulate the propagation of bio-contamination risk in Water
+Distribution System (WDS). This will be accomplished by putting an emphasis on source …
Save Cite Cited by 99 Related articles All 4 versions
[PDF] springer.com

Machine learning-based time series models for effective CO2 emission prediction in India

S Kumari, SK Singh - Environmental Science and Pollution Research, 2023 - Springer
… Furthermore, we have observed that statistical, machine learning and deep learning models
+are not applied together. To fill this gap, we have applied all the three classes of models for …
Save Cite Cited by 176 Related articles All 8 versions
[PDF] nature.com

Machine learning-based predictive modelling for the enhancement of wine quality

K Jain, K Kaushik, SK Gupta, S Mahajan, S Kadry - Scientific Reports, 2023 - nature.com
… The main goal of this work is to develop a machine learning model to forecast wine quality
+using … With the initial RWD, five machine learning (ML) models were trained and put to the test. …
Save Cite Cited by 58 Related articles All 10 versions
[PDF] nature.com

Convergence of evolving artificial intelligence and machine learning techniques in precision oncology

E Fountzilas, T Pearce, MA Baysal, A Chakraborty… - NPJ Digital …, 2025 - nature.com
… In contrast, machine learning is an “algorithmic model” … Inference is to statistics as prediction
+is to machine learning, and … form of “representation learning,” in that the machine is fed raw …
Save Cite Cited by 58 Related articles All 8 versions

Web application based Diabetes prediction using Machine Learning

GR Kumar, RV Reddy, N Pughazendi… - … on Advances in …, 2023 - ieeexplore.ieee.org
… from many supervised machine learning models educated on … This article introduces a
+number of machine learning … (LR), and support vector machine (SVM) that may be taught using a …
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[PDF] wiley.com

Stability of clinical prediction models developed using statistical or machine learning methods

RD Riley, GS Collins - Biometrical Journal, 2023 - Wiley Online Library
… , and analysis method (eg, regression or machine learning). We raise the concern that many
+… Through simulation and case studies of statistical and machine learning approaches, we …
Save Cite Cited by 114 Related articles All 15 versions
[HTML] mdpi.com

[HTML][HTML] Recent advancements in computational drug design algorithms through machine learning and optimization

S Choudhuri, M Yendluri, S Poddar, A Li… - Kinases and …, 2023 - mdpi.com
… We can divide machine learning techniques into three … a machine learning model, generally
+the dataset is divided into training and test sets. A training set is used in supervised learning …
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[HTML] mdpi.com

[HTML][HTML] Evaluation of machine learning algorithms for malware detection

MS Akhtar, T Feng - Sensors, 2023 - mdpi.com
… machine learning approaches to identifying fraudulent data. We conducted a battery of
+experiments to compare different machine learning … to assess machine learning techniques in …
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[HTML] mdpi.com

[HTML][HTML] A comprehensive survey of machine learning techniques and models for object detection

M Trigka, E Dritsas - Sensors, 2025 - mdpi.com
… of machine learning (ML) and deep learning (DL) techniques. We explore a wide spectrum
+of methodologies, ranging from traditional approaches to the latest DL models, thoroughly …
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[PDF] nber.org

Machine-learning the skill of mutual fund managers

R Kaniel, Z Lin, M Pelger… - Journal of Financial …, 2023 - Elsevier
We show, using machine learning, that fund characteristics can consistently differentiate high
+from low-performing mutual funds, before and after fees. The outperformance persists for …
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[HTML][HTML] Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities

TT Khuat, R Bassett, E Otte, A Grevis-James… - Computers & Chemical …, 2024 - Elsevier
… While machine learning (ML) has made significant … data, and the use of machine learning
+models in monoclonal antibody … adoption of innovative machine learning methods and novel …
Save Cite Cited by 49 Related articles All 4 versions

Structural Health Monitoring for impact localisation via machine learning

F Dipietrangelo, F Nicassio, G Scarselli - Mechanical Systems and Signal …, 2023 - Elsevier
The focus of this manuscript is Machine learning applied to the Structural Health Monitoring.
+Two different algorithms have been used to detect impacts on an aluminium plate, one …
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[HTML] mdpi.com

[HTML][HTML] Explainable AI for machine fault diagnosis: understanding features' contribution in machine learning models for industrial condition monitoring

E Brusa, L Cibrario, C Delprete, LG Di Maggio - Applied Sciences, 2023 - mdpi.com
… This study aimed at investigating the capabilities of SHAP for explaining machine learning
+models in the intelligent fault diagnosis of industrial bearings. Additionally, this results in …
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[PDF] researchgate.net

[PDF][PDF] Analyzing socio-academic factors and predictive modeling of student performance using machine learning techniques

R Al-Ali, K Alhumaid, M Khalifa, SA Salloum… - Emerg Sci J, 2024 - researchgate.net
… machine learning techniques. By employing exploratory data analysis (EDA) and machine
+learning … Results presents the findings from the data analysis and machine learning models, …
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[PDF] springer.com

Machine learning-based seismic response and performance assessment of reinforced concrete buildings

F Kazemi, N Asgarkhani, R Jankowski - Archives of Civil and Mechanical …, 2023 - Springer
… Hence, this research aims to implement the most well-known Machine Learning (ML) methods
+in Python software to propose a prediction model for seismic response and performance …
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+================================================================================ +machine learning - Google Scholar
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Page 77 of about 642,000 results (0.21 sec)

Triboelectric nanogenerators with machine learning for internet of things

J Yang, K Hong, Y Hao, X Zhu, Y Qin… - Advanced Materials …, 2025 - Wiley Online Library
… In order to solve the challenges of TENG in sensing signal processing, such as signal
+noise and nonlinear relations, Machine Learning (ML), which is an efficient and mature data …
Save Cite Cited by 30 Related articles All 2 versions
[PDF] usp.br

Machine learning in chemical engineering: Hands-on activities

V Lavor, F de Come, MT dos Santos… - Education for Chemical …, 2024 - Elsevier
… in an introduction course to machine learning in a Chemical … learning (eg, clustering) and
+supervised learning (eg, … research in Artificial Intelligence and Machine Learning, was used to …
Save Cite Cited by 26 Related articles
[PDF] springer.com

A comprehensive review for chronic disease prediction using machine learning algorithms

R Islam, A Sultana, MR Islam - Journal of Electrical Systems and …, 2024 - Springer
… examining the significance of machine learning (ML) … machine (SVM), random forest (RF),
+decision tree (DT), naïve Bayes (NB), etc., have been widely used. Also, several deep learning …
Save Cite Cited by 36 Related articles All 6 versions
[PDF] aaai.org

Return to tradition: Learning reliable heuristics with classical machine learning

DZ Chen, F Trevizan, S Thiébaux - Proceedings of the International …, 2024 - ojs.aaai.org
… As commonly done in classical machine learning, we combine our WL features with nonlinear
+kernels to obtain new non-linear features that can increase the expressivity of the …
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Machine learning in healthcare analytics: a state-of-the-art review

S Das, SP Nayak, B Sahoo, SC Nayak - Archives of Computational …, 2024 - Springer
… Our thorough investigation of machine learning (ML) and deep learning (DL) applications …
+“machine learning in healthcare”, “medical applications and machine learning”, “deep learning …
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[PDF] researchgate.net

[PDF][PDF] A study on the application of machine learning and deep learning techniques for skin cancer detection

H Ghosh, IS Rahat, SN Mohanty… - … Journal of Computer …, 2024 - researchgate.net
… [16] delved into the realm of water quality assessment using predictive machine learning.
+The study highlighted the efficacy of machine learning in evaluating and categorizing water …
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[PDF] researchgate.net

[PDF][PDF] Anomaly detection in cloud networks using machine learning algorithms

VR Gudelli - African Journal of Artificial Intelligence and …, 2024 - researchgate.net
… This paper investigates the application of advanced machine learning algorithms for
+anomaly … Findings suggest that machine learning-driven models, when properly trained and …
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[PDF] springer.com

Application of machine learning in predicting survival outcomes involving real-world data: a scoping review

Y Huang, J Li, M Li, RR Aparasu - BMC medical research methodology, 2023 - Springer
Background Despite the interest in machine learning (ML) algorithms for analyzing real-world
+data (RWD) in healthcare, the use of ML in predicting time-to-event data, a common …
Save Cite Cited by 72 Related articles All 11 versions

Machine learning-driven Internet of Things (MLIoT)-based healthcare monitoring system

KSL Kazi, MA Mahant - Digitalization and the Transformation of the …, 2025 - igi-global.com
… organisations frequently use Machine Learning(ML) … Machine Learning(ML) applications
+in healthcare is being increased thanks in part to IoT- Internet of Things. ML- Machine learning …
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[HTML][HTML] Machine learning aided nanoindentation: A review of the current state and future perspectives

ES Puchi-Cabrera, E Rossi, G Sansonetti… - Current Opinion in Solid …, 2023 - Elsevier
… In recent years, Machine Learning (ML) tools have emerged as a feasible and more
+efficient alternative to extract complex microstructure-property correlations from instrumented …
Save Cite Cited by 51 Related articles All 3 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] nih.gov

Machine learning in laboratory medicine: recommendations of the IFCC working group

SR Master, TC Badrick, A Bietenbeck… - Clinical …, 2023 - academic.oup.com
Background Machine learning (ML) has been applied to an increasing number of predictive
+problems in laboratory medicine, and published work to date suggests that it has …
Save Cite Cited by 44 Related articles All 8 versions
[PDF] springer.com

Classic machine learning methods

J Faouzi, O Colliot - Machine learning for brain disorders, 2023 - Springer
… classic machine learning (ML) methods. There is a focus on supervised learning methods for
+… The chapter is meant to be readable by someone with no background in machine learning. …
Save Cite Cited by 31 Related articles All 16 versions
[PDF] frontiersin.org

Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review

Z Zhao, JH Chuah, KW Lai, CO Chow… - Frontiers in …, 2023 - frontiersin.org
… is to review some popular conventional machine learning methods used for the … machine
+(SVM), random forest (RF), convolutional neural network (CNN), autoencoder, deep learning, …
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Machine learning-assisted optical nano-sensor arrays in microorganism analysis

J Yang, S Lu, B Chen, F Hu, C Li, C Guo - TrAC Trends in Analytical …, 2023 - Elsevier
… With the assistance of machine learning algorithms, … We present here the recent development
+of machine learning … Then, eight commonly used machine learning algorithms in the …
Save Cite Cited by 62 Related articles All 2 versions

IoT driven by machine learning (MLIoT) for the retail apparel sector

KSL Kazi - Driving Green Marketing in Fashion and Retail, 2024 - igi-global.com
Despite the challenges faced, the future of the apparel retail industry looks promising, with
+endless opportunities for growth and development. Automated body measurements and size …
Save Cite Cited by 44 Related articles All 2 versions

Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forward

S Makridakis, E Spiliotis… - Journal of the …, 2023 - Taylor & Francis
… added by Deep Learning (DL) approaches in time series forecasting by comparing the
+accuracy of some state-of-the-art DL methods with that of popular Machine Learning (ML) and …
Save Cite Cited by 137 Related articles All 5 versions

Enhancing cloud-based machine learning models with federated learning techniques

R Shamim, Y Farhaoui - … Conference on Artificial Intelligence and Smart …, 2023 - Springer
… -based federated learning [22, 27]. … learning for machine learning on the cloud. This study
+demonstrates the potential for federated learning to increase the precision of machine learning …
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[PDF] cell.comFull View

Machine learning for fault analysis in rotating machinery: A comprehensive review

O Das, DB Das, D Birant - Heliyon, 2023 - cell.com
… a unique impact on the vital indicators of a machine. Based on these major obstacles, this
+… data types, data fusion techniques, machine learning techniques within the frame of the fault …
Save Cite Cited by 75 Related articles All 7 versions
[PDF] nature.com

Transparency of artificial intelligence/machine learning-enabled medical devices

AA Shick, CM Webber, N Kiarashi, JP Weinberg… - NPJ Digital …, 2024 - nature.com
Artificial intelligence/machine learning (AI/ML)-enabled medical devices (AI/ML devices,
+hereafter) offer exciting new opportunities to continue the advancement of healthcare. These …
Save Cite Cited by 39 Related articles All 6 versions
[PDF] diva-portal.org

[BOOK][B] Computational formalism: Art history and machine learning

A Wasielewski - 2023 - books.google.com
… with in applications of machine learning in art history. Machine learning techniques are
+typically characterized as either supervised or unsupervised. Supervised learning works from …
Save Cite Cited by 52 Related articles All 9 versions Library Search
+================================================================================ +machine learning - Google Scholar
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[PDF] springer.com

A general framework of high-performance machine learning algorithms: application in structural mechanics

G Markou, NP Bakas, SA Chatzichristofis… - Computational …, 2024 - Springer
… In this research work, high-performance machine learning (ML) algorithms are proposed
+for … Four machine learning algorithms are proposed in this work and their performance is …
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[HTML] mdpi.com

[HTML][HTML] A comprehensive review of machine learning for water quality prediction over the past five years

X Yan, T Zhang, W Du, Q Meng, X Xu… - Journal of Marine Science …, 2024 - mdpi.com
… focus on the application of machine learning for predicting water … Categorizing machine
+learning-based predictions for water … research trends in machine learning algorithms, providing a …
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[HTML] sciencedirect.com

[HTML][HTML] Modeling the mechanical properties of recycled aggregate concrete using hybrid machine learning algorithms

Y Peng, C Unluer - Resources, Conservation and Recycling, 2023 - Elsevier
… of machine learning models, contributing towards decision-making rationales. Results
+indicated that the coefficient of determination (R 2 ) of ANN, SVR, PSO-SVR and GWO-SVR were …
Save Cite Cited by 119 Related articles All 4 versions

Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic …

HM Rai, J Yoo, A Razaque - Expert Systems with Applications, 2024 - Elsevier
Cancer remains a leading reason of mortality, with the current global death toll estimated at
+10 million and projected to surpass 16 million by 2040 as reported by the World Health …
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[HTML] mdpi.com

[HTML][HTML] A review of embedded machine learning based on hardware, application, and sensing scheme

A Biglari, W Tang - Sensors, 2023 - mdpi.com
… the implementation of embedded machine learning somewhat difficult. … of machine learning
+on embedded systems divided by their specific device, application, specific machine learning …
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[HTML] mdpi.com

[HTML][HTML] Ransomware detection using machine learning: A survey

A Alraizza, A Algarni - Big Data and Cognitive Computing, 2023 - mdpi.com
… machine learning models for ransomware detection. It also focuses on the use of machine
+learning … It discusses the different machine learning algorithms used for this purpose, such as …
Save Cite Cited by 100 Related articles All 8 versions Cached
[PDF] springer.com

Sentiment analysis using Twitter data: a comparative application of lexicon-and machine-learning-based approach

Y Qi, Z Shabrina - Social network analysis and mining, 2023 - Springer
… Word2Vec technique and machine learning models, such as … the online learning process
+as various learning activities … including lexicon and machine learning approaches during the …
Save Cite Cited by 200 Related articles All 10 versions
[PDF] nature.com

Testing the predictive power of reverse screening to infer drug targets, with the help of machine learning

A Daina, V Zoete - Communications chemistry, 2024 - nature.com
… We show that machine-learning can predict the correct targets, with the highest probability
+among 2069 proteins, for more than 51% of the external molecules. The strong enrichment …
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Advancements in machine learning and AI for intelligent systems in drone applications for smart city developments

S Boopathi - Futuristic e-Governance Security With Deep Learning …, 2024 - igi-global.com
… The integration of machine learning and artificial intelligence (… the remarkable advancements
+in machine learning and AI, … Machine learning and deep learning models are crucial in …
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[PDF] ijstpublication.com

Smarter Systems: Applying Machine Learning to Complex, Real-Time Problem Solving

AS Shethiya - Integrated Journal of Science and Technology, 2024 - ijstpublication.com
The application of machine learning (ML) to real-time, complex problem-solving is redefining
+the capabilities of intelligent systems across industries. From autonomous vehicles to …
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[PDF] aps.org

Exploiting symmetry in variational quantum machine learning

JJ Meyer, M Mularski, E Gil-Fuster, AA Mele, F Arzani… - PRX quantum, 2023 - APS
… itself is not limited to applications in quantum machine learning. This is why we additionally
+… help, but the benefit is less apparent than in the case of quantum machine learning models. …
Save Cite Cited by 220 Related articles All 9 versions

A comprehensive survey for IoT security datasets taxonomy, classification and machine learning mechanisms

C Alex, G Creado, W Almobaideen, OA Alghanam… - Computers & …, 2023 - Elsevier
… The final objective is to compare between various machine learning techniques and models
+… they should use to evaluate the machine learning techniques they develop or used to …
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[PDF] cell.comFull View

Sentiment analysis in multilingual context: Comparative analysis of machine learning and hybrid deep learning models

RK Das, M Islam, MM Hasan, S Razia, M Hassan… - Heliyon, 2023 - cell.com
… of various machine learning models, including deep learning … seven machine learning
+models and deep learning models, … study is that Support Vector Machine (SVM) models exhibit …
Save Cite Cited by 61 Related articles All 8 versions

Machine learning-assisted source tracing in domestic-industrial wastewater: A fluorescence information-based approach

Y Shu, F Kong, Y He, L Chen, H Liu, F Zan, X Lu, T Wu… - Water Research, 2025 - Elsevier
… Machine learning-assisted traceability is emerging as a … machine learning algorithms,
+including Back Propagation neural network (BP), Random Forest (RF), Support Vector Machine (…
Save Cite Cited by 24 Related articles All 3 versions
[PDF] arxiv.org

Towards quantum enhanced adversarial robustness in machine learning

MT West, SL Tsang, JS Low, CD Hill, C Leckie… - Nature Machine …, 2023 - nature.com
… Machine learning (ML) algorithms are ubiquitous nowadays and underpin the vast majority
+… new subfield within machine learning, namely adversarial machine learning. Adversarial ML …
Save Cite Cited by 73 Related articles All 5 versions
[PDF] researchgate.net

Machine learning approach using artificial neural networks to detect malicious nodes in IoT networks

KKS Liyakat - International Conference on Machine Learning, IoT …, 2023 - Springer
… By viewing machine learning thru the lens of the traditional CIA model, they extract behavioral
+traits … deep [30] and machine learning (ML/DL) [31] countermeasures [29, 32, 33]. (Fig. 1) …
Save Cite Cited by 88 Related articles All 4 versions

Performance and early drop prediction for higher education students using machine learning

V Christou, I Tsoulos, V Loupas, AT Tzallas… - Expert Systems with …, 2023 - Elsevier
… (DT), Bayesian network (BN), support vector machine (SVM), and neural network construction
+(NNC) existing machine learning methods in twelve regression datasets (six for predicting …
Save Cite Cited by 37 Related articles All 2 versions

Medical informed machine learning: A scoping review and future research directions

F Leiser, S Rank, M Schmidt-Kraepelin… - Artificial Intelligence in …, 2023 - Elsevier
… Combining domain knowledge (DK) and machine learning is … Most approaches applying
+informed machine learning (IML), … used DK, the implemented machine learning model, and the …
Save Cite Cited by 23 Related articles All 5 versions
[PDF] researchgate.net

[PDF][PDF] Enhancing cyber security through artificial intelligence and machine learning: a literature review

C Merlano - Journal of Cybersecurity, 2024 - researchgate.net
… This paper discusses the role of artificial intelligence (AI) and machine learning (ML) in
+enhancing cyber security and their ability to adapt to dynamic and ever-changing cyber threats. …
Save Cite Cited by 27 Related articles All 3 versions View as HTML
[PDF] researchgate.net

Machine learning techniques for emotion detection and sentiment analysis: current state, challenges, and future directions

A Alslaity, R Orji - Behaviour & Information Technology, 2024 - Taylor & Francis
… The growing capability of machine learning to analyze big … on machine learning-based
+emotion detection to investigate research trends along many themes, including machine learning …
Save Cite Cited by 143 Related articles All 6 versions
+================================================================================ +machine learning - Google Scholar
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Page 81 of about 642,000 results (0.19 sec)

[BOOK][B] Advanced machine learning algorithms for complex financial applications

M Irfan, M Elhoseny, S Kassim, N Metawa - 2023 - books.google.com
… Summary:“This book clarifies the vital role of artificial intelligence and machine learning
+on the performance of complex financial applications processing a complex banking and …
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[PDF] springer.com

Prediction and diagnosis of depression using machine learning with electronic health records data: a systematic review

D Nickson, C Meyer, L Walasek, C Toro - BMC medical informatics and …, 2023 - Springer
… The aim of this review is to summarize existing literature in which machine learning methods
+have been used in combination with Electronic Health Records for prediction of depression. …
Save Cite Cited by 54 Related articles All 11 versions
[PDF] rjwave.org

AI-Powered Diagnosis: A Machine Learning Approach to Early Detection of Breast Cancer

H Tanveer, M Faheem, AH Khan… - INTERNATIONAL …, 2025 - rjwave.org
… This section presents the results of all machine learning models towards the diagnosis for
+breast cancer. This includes comparative performance analysis, discussions on false positive/…
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[HTML] hogrefe.com

[HTML][HTML] Reducing literature screening workload with machine learning

T Burgard, A Bittermann - Zeitschrift für Psychologie, 2023 - econtent.hogrefe.com
… described in the following, focusing on the role of machine learning and the type of (semi)automation.
+In Table 2, we report at which step machine learning is used by the respective tool. …
Save Cite Cited by 46 Related articles All 7 versions
[PDF] nature.com

An adversarial training framework for mitigating algorithmic biases in clinical machine learning

J Yang, AAS Soltan, DW Eyre, Y Yang… - NPJ digital medicine, 2023 - nature.com
… As technological capabilities continue to grow and machine learning continues to saturate
+… will encourage more hospitals to adopt machine learning-based technologies, and inspire …
Save Cite Cited by 123 Related articles All 9 versions
[PDF] bmj.com

TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

GS Collins, KGM Moons, P Dhiman, RD Riley… - bmj, 2024 - bmj.com
… machine learning methods. For example, unlike regression based models, the flexibility and
+complexity underpinning other machine learning … models or machine learning methods have …
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[HTML][HTML] The innovation effect of administrative hierarchy on intercity connection: The machine learning of twin cities

J Luo, Y Wang, G Li - Journal of Innovation & Knowledge, 2023 - Elsevier
… Based on an innovation of twin cities (Chengdu-Chongqing) in China, this paper uses
+machine learning methods (linear model, support vector machines, neural network and random …
Save Cite Cited by 106 Related articles

Using machine learning techniques to forecast Mehram company's sales: A case study

M Soltaninejad, R Aghazadeh… - Journal of Business …, 2024 - search.proquest.com
… This study embarked on leveraging machine learning techniques to enhance the accuracy
+of sales forecasting for Mehram Company. The primary objective was to identify which …
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[PDF] rsc.org

Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry

AS Anker, KT Butler, R Selvan, KMØ Jensen - Chemical Science, 2023 - pubs.rsc.org
… To address this bottleneck, we investigate the application of supervised and unsupervised
+machine learning (ML) techniques for scattering and spectroscopy data analysis in materials …
Save Cite Cited by 37 Related articles All 8 versions

Online bearing fault diagnosis using numerical simulation models and machine learning classifications

H Wang, J Zheng, J Xiang - Reliability Engineering & System Safety, 2023 - Elsevier
… simulation model and machine learning classification is … ) which is a kind of model online
+learning. Then, the required fault type … Finally, the machine learning model is used to predict the …
Save Cite Cited by 111 Related articles All 3 versions
+================================================================================ +machine learning - Google Scholar
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[HTML] sciencedirect.com

[HTML][HTML] Application of machine learning initiatives and intelligent perspectives for CO2 emissions reduction in construction

L Farahzadi, M Kioumarsi - Journal of Cleaner Production, 2023 - Elsevier
… Thus, the paper reviews how new technologies of artificial intelligence and machine learning
+have contributed to CO 2 emissions reduction in construction and what techniques have …
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[HTML] sciencedirect.com

[HTML][HTML] Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks

J Bhayo, SA Shah, S Hameed, A Ahmed, J Nasir… - … Applications of Artificial …, 2023 - Elsevier
… Machine learning-based security frameworks offer a … a machine learning-based approach
+to detect DDoS attacks in an SDN-WISE IoT controller. We have integrated a machine learning-…
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[HTML] sciencedirect.com

[HTML][HTML] Utilizing machine learning on freight transportation and logistics applications: A review

K Tsolaki, T Vafeiadis, A Nizamis, D Ioannidis… - ICT Express, 2023 - Elsevier
… This review categorizes the related works according to machine learning methodologies so
+… of-the-art related to machine learning in freight transportation and related application areas. …
Save Cite Cited by 139 Related articles All 2 versions
[HTML] sciencedirect.com

[HTML][HTML] Machine learning approaches for predictions of CO2 emissions in the building sector

S Giannelos, F Bellizio, G Strbac, T Zhang - Electric Power Systems …, 2024 - Elsevier
… This paper presents and compares a variety of Machine Learning (ML)-based approaches
+for long-term predictions of CO2 emissions from buildings until the year 2050. These …
Save Cite Cited by 60 Related articles All 2 versions

Fuzzy machine learning logic utilization on hormonal imbalance dataset

R Khushal, U Fatima - Computers in Biology and Medicine, 2024 - Elsevier
… Machine learning … Machine learning employment on untransformed biological dataset
+provides limited results whether the syndrome is present or absent however machine learning on …
Save Cite Cited by 22 Related articles All 4 versions
[PDF] wiley.com

Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review

O Higgins, BL Short, SK Chalup… - International Journal of …, 2023 - Wiley Online Library
An integrative review investigating the incorporation of artificial intelligence (AI) and
+machine learning (ML) based decision support systems in mental health care settings was …
Save Cite Cited by 147 Related articles All 7 versions
[PDF] nature.com

A benchmark dataset for machine learning in ecotoxicology

C Schür, L Gasser, F Perez-Cruz, K Schirmer… - Scientific Data, 2023 - nature.com
… of machine learning for predicting ecotoxicological outcomes is promising, but underutilized.
+The curation of data with informative features requires both expertise in machine learning …
Save Cite Cited by 38 Related articles All 12 versions
[PDF] arxiv.org

Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

S Cheng, C Quilodrán-Casas, S Ouala… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
… Recently, much effort has been given in combining DA, UQ and machine learning (ML)
+techniques. These research efforts seek to address some critical challenges in high-dimensional …
Save Cite Cited by 242 Related articles All 36 versions

A Novel Approach to Human Iris Recognition And Verification Framework Using Machine Learning Algorithm

S Davuluri, S Kilaru, V Boppana… - … and Informatics (IC3I …, 2023 - ieeexplore.ieee.org
… machine learning technology. Hence, a novel approach to human recognition and verification
+framework using Machine Learning … how various machine learning methods can be used …
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[PDF] springer.com

Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis

M Ayitey Junior, P Appiahene, O Appiah, CN Bombie - Journal of Big Data, 2023 - Springer
… Our objective is to give an overview of machine learning models and their … assess machine
+learning algorithms. We also give a meta-analysis of the performance of the machine learning …
Save Cite Cited by 95 Related articles All 9 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] nature.com

Clinical trials are becoming more complex: a machine learning analysis of data from over 16,000 trials

N Markey, B Howitt, I El-Mansouri… - Scientific Reports, 2024 - nature.com
… Using a machine learning algorithm, we automatically assessed key features of these trials,
+such as number of endpoints, number of inclusion–exclusion criteria and others. Using a …
Save Cite Cited by 38 Related articles All 10 versions

Faults detection and diagnosis of PV systems based on machine learning approach using random forest classifier

AF Amiri, H Oudira, A Chouder, S Kichou - Energy Conversion and …, 2024 - Elsevier
Accurate and reliable fault detection procedures are crucial for optimizing photovoltaic (PV)
+system performance. Establishing a trustworthy PV array model is the primary step and a …
Save Cite Cited by 139 Related articles All 2 versions
[PDF] wiley.com

Interpretable and explainable machine learning: A methods‐centric overview with concrete examples

R Marcinkevičs, JE Vogt - Wiley Interdisciplinary Reviews: Data …, 2023 - Wiley Online Library
… are essential principles of machine learning model and method … This review is intended
+for a general machine learning … and explainable machine learning and illustrate them with …
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[HTML][HTML] Application of machine learning modeling in prediction of solar still performance: a comprehensive survey

AS Abdullah, A Joseph, AW Kandeal, WH Alawee… - Results in …, 2024 - Elsevier
… Therefore, coupling solar stills with state-of-the-art machine learning is expected to … It
+covers the most repeated machine learning methods employed for performance prediction…
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[HTML] mdpi.com

[HTML][HTML] Enhancing supply chain agility and sustainability through machine learning: Optimization techniques for logistics and inventory management

V Pasupuleti, B Thuraka, CS Kodete, S Malisetty - Logistics, 2024 - mdpi.com
… In this research, a variety of machine learning algorithms will be utilized, encompassing
+both supervised and unsupervised learning approaches. The selection of these algorithms is …
Save Cite Cited by 210 Related articles All 8 versions Cached

[BOOK][B] Applications of machine learning and deep learning on biological data

F Masoodi, M Quasim, S Bukhari, S Dixit, S Alam - 2023 - books.google.com
… Machine Learning and Deep Learning on Biological Data The automated learning of machines
+characterizes machine learning (… Now, algorithms using ML and deep learning (DL) have …
Save Cite Cited by 39 Related articles All 2 versions Library Search

Prognosis of cervical cancer disease by applying machine learning techniques

G Kumawat, SK Vishwakarma… - Journal of circuits …, 2023 - World Scientific
… In the diagnosis and prognosis of cervical cancer disease, machine learning has … machine
+learning techniques to detect cervical cancer at an early stage. To train the machine learning …
Save Cite Cited by 79 Related articles All 2 versions
[PDF] researchgate.net

[PDF][PDF] Adaptive machine learning models: Concepts for real-time financial fraud prevention in dynamic environments

HO Bello, AB Ige, MN Ameyaw - World Journal of Advanced …, 2024 - researchgate.net
… Implementing adaptive machine learning models for real… machine learning models offer a
+dynamic and effective solution for real-time financial fraud prevention. By continuously learning …
Save Cite Cited by 141 Related articles View as HTML
[PDF] nature.com

Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms

M Botlagunta, MD Botlagunta, MB Myneni… - Scientific Reports, 2023 - nature.com
… Similar to our method, a machine learning-based web tool was … and robust non-invasive
+machine learning-based platforms is a vital … Hence, in this study, a machine learning-based web …
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[HTML][HTML] Developing a novel tool for assessing the groundwater incorporating water quality index and machine learning approach

AM Sajib, MTM Diganta, A Rahman… - Groundwater for …, 2023 - Elsevier
… To enhance the precision of water quality assessment, the study employed six established
+machine learning (ML) techniques, evaluating the model's performance based on factors …
Save Cite Cited by 88 Related articles All 7 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] wiley.com

Exploring new depths: Applying machine learning for the analysis of student argumentation in chemistry

PP Martin, D Kranz, P Wulff… - Journal of Research in …, 2024 - Wiley Online Library
… such as machine learning or natural … perfect machine-human score agreement and
+well-interpretable results, which underpins the potential of the applied state-of-the-art deep learning …
Save Cite Cited by 38 Related articles All 7 versions

A bibliographic analysis of optimization of hydrogen production via electrochemical method using machine learning

S Iqbal, K Aftab, F tul Jannat, MA Baig, U Kalsoom - Fuel, 2024 - Elsevier
… focus on the optimization achieved through machine learning techniques. A corpus of 306
+… catalyst discovery, and support vector machine learning for optimizing small to medium size …
Save Cite Cited by 19 Related articles All 2 versions
[PDF] springer.com

State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting

J Zhou, Y Zhang, Y Qiu - Artificial Intelligence Review, 2024 - Springer
… machine, to predict blast-induced ground vibrations. The research findings reveal that the
+Jaya-XGBoost model outperforms other machine learning … employ intelligent machine learning …
Save Cite Cited by 39 Related articles All 5 versions
[PDF] hal.science

Machine learning for service migration: A survey

N Toumi, M Bagaa, A Ksentini - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
… capabilities allowed the emergence of Machine Learning as a tool for decision making …
+learning optimal decision policies. This paper surveys contributions applying Machine Learning (…
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[HTML] mdpi.com

[HTML][HTML] Recent advances in machine-learning-based chemoinformatics: a comprehensive review

SK Niazi, Z Mariam - International Journal of Molecular Sciences, 2023 - mdpi.com
… Do we need different machine learning algorithms for QSAR modeling? A comprehensive
+assessment of 16 machine learning algorithms on 14 QSAR data sets. Brief. Bioinform. …
Save Cite Cited by 90 Related articles All 10 versions Cached
[PDF] sciencedirect.com

Machine learning applied to electronic health record data in home healthcare: a scoping review

M Hobensack, J Song, D Scharp, KH Bowles… - International Journal of …, 2023 - Elsevier
… machine learning in HHC is relatively unknown. Thus, this study aimed to synthesize and
+appraise the literature describing the application of machine learning … in the machine learning …
Save Cite Cited by 52 Related articles All 4 versions

A practical guide to machine-learning scoring for structure-based virtual screening

VK Tran-Nguyen, M Junaid, S Simeon, PJ Ballester - Nature Protocols, 2023 - nature.com
… SFs built by using machine learning often outperform their classical counterparts. This protocol
+describes how to use machine learning to build target-specific SFs and, importantly, how …
Save Cite Cited by 63 Related articles All 3 versions
[PDF] mdpi.com

A novel machine learning approach for solar radiation estimation

H Hissou, S Benkirane, A Guezzaz, M Azrour… - Sustainability, 2023 - mdpi.com
… In order to address this, alternative methods have been developed with which to estimate
+Rs, including artificial intelligence and machine learning (ML) models, like neural networks, …
Save Cite Cited by 61 Related articles All 8 versions Cached
[PDF] nature.com

Comprehensive evaluation and performance analysis of machine learning in heart disease prediction

HA Al-Alshaikh, PP, RC Poonia, AKJ Saudagar… - Scientific Reports, 2024 - nature.com
… machine learning methodologies, feature selection, and dimensionality reduction techniques.
+By harnessing sophisticated machine learning … ensemble deep learning and innovative …
Save Cite Cited by 49 Related articles All 8 versions
[PDF] nih.gov

Machine learning in tissue engineering

JL Guo, M Januszyk, MT Longaker - Tissue Engineering Part A, 2023 - liebertpub.com
… These emerging hybrid methods are frequently referred to as “semi-supervised” learning. …
+learning encompasses the earliest methods that have been denoted as “machine learning.” …
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+================================================================================ +machine learning - Google Scholar
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[PDF] acm.org

Multi-dimensional discrimination in law and machine learning-A comparative overview

A Roy, J Horstmann, E Ntoutsi - … of the 2023 ACM Conference on …, 2023 - dl.acm.org
… The domain of fairnessaware machine learning focuses on … is less explored in the machine
+learning community. Recent … ) in the fairness-aware machine learning domain. By juxtaposing …
Save Cite Cited by 27 Related articles All 6 versions
[PDF] jcbi.org

Analyzing breast cancer detection using machine learning & deep learning techniques

A Fatima, A Shabbir, JI Janjua, SA Ramay… - Journal of Computing & …, 2024 - jcbi.org
… The deep learning model more precisely, a neural network outperformed … learning algorithms
+with more traditional machine learning methods. Accuracy ratings for the machine learning …
Save Cite Cited by 22 Related articles All 3 versions View as HTML
[PDF] acs.org

Roadmap for the use of machine learning and artificial intelligence in sensing

JF Masson - ACS sensors, 2024 - ACS Publications
The field of machine learning (ML) and artificial intelligence (AI) is rapidly booming for sensing
+applications. While the potential of ML and AI for signal processing, data interpretation, …
Save Cite Cited by 16 Related articles All 2 versions
[PDF] nature.com

Explanatory predictive model for COVID-19 severity risk employing machine learning, shapley addition, and LIME

M Laatifi, S Douzi, H Ezzine, CE Asry, A Naya… - Scientific Reports, 2023 - nature.com
… Several Classifiers were trained and evaluated using Machine Learning and Deep Learning
+to complete missing data, generate synthetic data, and fill in any gaps. To examine the …
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[HTML][HTML] Modeling and optimization of renewable hydrogen systems: A systematic methodological review and machine learning integration

MD Mukelabai, ER Barbour, RE Blanchard - Energy and AI, 2024 - Elsevier
… The findings show that advances in machine learning integration are improving solar … criteria
+decision-making framework integrated with machine learning insights, is proposed to guide …
Save Cite Cited by 31 Related articles All 3 versions

Applying machine learning to develop energy benchmarking for university buildings in Brazil

TC Quevedo, MS Geraldi, AP Melo - Journal of building engineering, 2023 - Elsevier
… Three machine learning techniques were compared to develop the benchmark, multiple
+linear regression (MLR), support vector machine (SVM) and artificial neural network (ANN). The …
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[PDF] nature.com

Machine learning for predicting survival of colorectal cancer patients

L Buk Cardoso, V Cunha Parro, S Verzinhasse Peres… - Scientific reports, 2023 - nature.com
… The use of machine learning algorithms for cancer studies has grown in recent years, and
+they … The machine learning models used provided us the predictions and the most important …
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[HTML] mdpi.com

[HTML][HTML] A decision support system for crop recommendation using machine learning classification algorithms

MK Senapaty, A Ray, N Padhy - Agriculture, 2024 - mdpi.com
… the crop dataset using machine learning techniques can assist … crop recommendations by
+utilizing machine learning methods, … Thirteen different machine learning algorithms have been …
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[HTML] sciencedirect.com

[HTML][HTML] Do all roads lead to Rome? Studying distance measures in the context of machine learning

E Blanco-Mallo, L Morán-Fernández, B Remeseiro… - Pattern Recognition, 2023 - Elsevier
… Many machine learning and data mining tasks are based on distance measures, so a large
+… these measures in the most common machine learning problems, pointing out those aspects …
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[HTML] mdpi.com

[HTML][HTML] Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches

LS Khoo, MK Lim, CY Chong, R McNaney - Sensors, 2024 - mdpi.com
… While machine learning (ML) has been explored to mitigate these challenges, we
+hypothesized that multiple data modalities support more comprehensive detection and that non-…
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[PDF] researchgate.net

Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning

B Abdollahzadeh, N Khodadadi, S Barshandeh… - Cluster …, 2024 - Springer
… Finally, it has been tested using four machine learning and data mining problems, and the
+… We have studied global optimization problems and machine learning problems case by …
Save Cite Cited by 634 Related articles All 5 versions
[PDF] science.orgFull View

Accurate global machine learning force fields for molecules with hundreds of atoms

S Chmiela, V Vassilev-Galindo, OT Unke… - Science …, 2023 - science.org
… Global machine learning force fields, with the capacity to capture collective interactions in …
+approach to train global symmetric gradient domain machine learning (sGDML) force fields (…
Save Cite Cited by 206 Related articles All 9 versions
[PDF] mesopotamian.press

Intrusion detection system based on machine learning algorithms:(SVM and genetic algorithm)

A Alsajri, A Steiti - Babylonian Journal of Machine Learning, 2024 - mesopotamian.press
… of employing machine learning models for the development of an intrusion detection system
+on network traffic. Specifically, the study emphasizes the utilization of machine learning …
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[PDF] ieee.org

E-commerce fraud detection based on machine learning techniques: Systematic literature review

A Mutemi, F Bacao - Big Data Mining and Analytics, 2024 - ieeexplore.ieee.org
… Machine learning and data mining techniques have become popular in fraud detection across
+… Such high-level coverage fails to produce a nuanced understanding of machine learning …
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Crop mapping through a hybrid machine learning and deep learning method

B Asadi, A Shamsoddini - Remote Sensing Applications: Society and …, 2024 - Elsevier
… This study aimed to examine the capability of the object-based method and machine learning
+and deep learning algorithms in combining optical and radar images to generate crop-type …
Save Cite Cited by 25 Related articles All 2 versions
[PDF] nature.com

Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision …

W DeGroat, H Abdelhalim, K Patel, D Mendhe… - Scientific reports, 2024 - nature.com
… value is used to control the learning process) in SVM to prevent … best aspects of multiple
+machine learning algorithms into a … by curating an unsupervised learning study that removes the …
Save Cite Cited by 237 Related articles All 15 versions
[PDF] springer.com

Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research

S Kumar, D Sharma, S Rao, WM Lim… - Annals of Operations …, 2025 - Springer
… research using big data analytics through machine learning of scholarly research. In doing
+so, … intelligence, blockchain, internet of things, and machine learning for sustainable finance. …
Save Cite Cited by 521 Related articles All 13 versions
[PDF] springer.com

Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

J Li, MS Othman, H Chen, LM Yusuf - Journal of Big Data, 2024 - Springer
… To protect against this, machine learning approaches have … network intrusion detection in
+machine learning-based attack … machine learning-driven intrusion detection in IoT networks. …
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[HTML][HTML] Estimation and prediction of the polymers' physical characteristics using the machine learning models

IP Malashin, VS Tynchenko, VA Nelyub, AS Borodulin… - Polymers, 2023 - mdpi.com
… This article investigates the utility of machine learning (ML) methods for predicting and
+analyzing the diverse physical characteristics of polymers. Leveraging a rich dataset of polymers’ …
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[PDF] bonviewpress.com

Machine learning-based intrusion detection system: an experimental comparison

I Hidayat, MZ Ali, A Arshad - Journal of Computational and …, 2023 - ojs.bonviewpress.com
… This big data also helps in training the machine learning (ML) model for security purposes. …
+Anomaly-based IDS used ML or deep learning (DL) techniques to detect data patterns. …
Save Cite Cited by 92 Related articles All 4 versions View as HTML
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Page 87 of 641,000 results (1.14 sec)
[PDF] researchgate.net

Machine Learning: The Driving Force Behind Intelligent Systems and Predictive Analytics

D Virmani, MAS Ghori, N Tyagi… - … on Trends in …, 2024 - ieeexplore.ieee.org
… algorithms of machine learning can be … of machine learning is the supervised learning
+system where the algorithms are trained on labelled data sets [4]. In this way the machine learning …
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[PDF] researchgate.net

[PDF][PDF] Predictive Analytics and Machine Learning in Direct Marketing for Anticipating Bank Term Deposit Subscriptions.

AM Zaki, N Khodadadi, W Hong Lim… - American Journal of …, 2024 - researchgate.net
… training and validating advanced machine learning models. … data for the intricacies of machine
+learning models. Categorical … a diverse set of machine learning models. As we progress, …
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[HTML][HTML] AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

H Li, H Jiao, Z Yang - Transportation Research Part E: Logistics and …, 2023 - Elsevier
… classical machine learning and emerging deep learning … To do so, five machine learning
+methods (ie, Kalman Filter (… (RF)) and seven deep learning methods (ie, Recurrent Neural …
Save Cite Cited by 153 Related articles All 8 versions
[PDF] nature.com

Machine learning for sustainable organic waste treatment: a critical review

R Gupta, ZH Ouderji, Uzma, Z Yu, WT Sloan… - NPJ Materials …, 2024 - nature.com
Data-driven modeling is being increasingly applied in designing and optimizing organic
+waste management toward greater resource circularity. This study investigates a spectrum of …
Save Cite Cited by 29 Related articles All 6 versions

Analysing the drivers of ecological footprint in Africa with machine learning algorithm

DK Espoir, R Sunge, T Nchofoung, AA Alola - … Impact Assessment Review, 2024 - Elsevier
… First, we used the least absolute shrinkage and selection operators (LASSOs) machine
+learning algorithms to predict the most important drivers of EFP. Second, we employed the …
Save Cite Cited by 31 Related articles All 2 versions
[PDF] sciencedirect.com

Towards detection of network anomalies using machine learning algorithms on the NSL-KDD benchmark datasets

AD Vibhute, CH Patil, AV Mane, KV Kale - Procedia Computer Science, 2024 - Elsevier
… in the present study by proposing a machine learning-enabled feature selection approach
+with the highest accuracy. In this case, we used three machine learning models to identify and …
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[PDF] ametsoc.orgFull View

A machine learning tutorial for operational meteorology. Part II: Neural networks and deep learning

RJ Chase, DR Harrison, GM Lackmann… - Weather and …, 2023 - journals.ametsoc.org
… lens, this paper discusses machine learning methods in a plain language … machine learning
+resource for meteorologists. While the first paper focused on traditional machine learning …
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[PDF] nih.gov

Challenges and limitations of synthetic minority oversampling techniques in machine learning

IM Alkhawaldeh, I Albalkhi… - World journal of …, 2023 - pmc.ncbi.nlm.nih.gov
… to prediction bias in machine learning models, which often … the performance of machine
+learning models on imbalanced … “machine learning”) and (“oversampling” or “SMOTE” and “…
Save Cite Cited by 77 Related articles All 4 versions
[PDF] cell.com

Machine learning approaches to predict drug efficacy and toxicity in oncology

BA Badwan, G Liaropoulos, E Kyrodimos… - Cell Reports …, 2023 - cell.com
In recent years, there has been a surge of interest in using machine learning algorithms (MLAs)
+in oncology, particularly for biomedical applications such as drug discovery, drug …
Save Cite Cited by 72 Related articles All 6 versions

Machine learning WTI crude oil price predictions

B Jin, X Xu - Journal of International Commerce, Economics and …, 2025 - World Scientific
… Machine learning approach for crude oil price prediction with … of econometric, machine
+learning and artificial intelligence-… Crude oil price forecasting with machine learning and Google …
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[HTML][HTML] Recent advances in data mining and machine learning for enhanced building energy management

X Zhou, H Du, S Xue, Z Ma - Energy, 2024 - Elsevier
Due to the recent advancements in the Internet of Things and data science techniques, a
+wide range of studies have investigated the use of data mining (DM) and machine learning (ML…
Save Cite Cited by 29 Related articles All 4 versions
[PDF] bright-journal.org

Machine learning classifier algorithms for ransomware lockbit prediction

IMM El Emary, KA Yaghi - Journal of Applied Data Sciences, 2024 - bright-journal.org
… In this study, we employed a variety of machine learning methods, particularly neural
+networkbased classification algorithms, and developed an inventive framework based on feature …
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[PDF] researchgate.net

Machine Learning Classification Algorithms for Accurate Breast Cancer Diagnosis

MS Alzboon, S Qawasmeh, M Alqaraleh… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org
… algorithms based on machine learning have been used … analyzes the effectiveness of machine
+learning-based algorithms for … that algorithms based on machine learning can potentially …
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[PDF] neurips.cc

Temporal graph benchmark for machine learning on temporal graphs

S Huang, F Poursafaei, J Danovitch… - Advances in …, 2023 - proceedings.neurips.cc
… A variety of machine learning approaches tailored for learning on … , and robust evaluation
+for machine learning on temporal graphs, we … Impact on Temporal Graph Learning. Significant …
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A comparative study on the most effective machine learning model for blast loading prediction: From GBDT to Transformer

Q Li, Y Wang, Y Shao, L Li, H Hao - Engineering Structures, 2023 - Elsevier
… For example, most existing machine learning-based … In this study, four well-known machine
+learning models, … the effectiveness of different machine learning methods for blast loading …
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[PDF] ieee.org

Phishing detection system through hybrid machine learning based on URL

A Karim, M Shahroz, K Mustofa, SB Belhaouari… - IEEE …, 2023 - ieeexplore.ieee.org
… , machine learning plays … machine learning algorithms have been applied and designed
+to prevent phishing URLs and provide protection to the user. This study uses machine learning …
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[HTML][HTML] Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques

E Champa-Bujaico, AM Díez-Pascual… - Composites Part B …, 2024 - Elsevier
Abstract Machine learning (ML) models provide fast and accurate predictions of material
+properties at a low computational cost. Herein, the mechanical properties of multiscale poly(3-…
Save Cite Cited by 77 Related articles All 2 versions

Machine learning system for indolence perception

SMU Sankar, NJ Kumar… - … on Innovative Data …, 2023 - ieeexplore.ieee.org
… The developed support machine uses these data to enhance the quality of observations …
+machine [8]. It also employs a combination of various deep videos using deep machine learning …
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[HTML][HTML] Enhanced preprocessing approach using ensemble machine learning algorithms for detecting liver disease

AQ Md, S Kulkarni, CJ Joshua, T Vaichole, S Mohan… - Biomedicines, 2023 - mdpi.com
… In this section, various machine learning methods applied to classify liver diseases are
+discussed. Machine learning models such as the support vector machine (SVM), logistic …
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[PDF] sciencedirect.com

Interpretable machine learning assessment

H Han, Y Wu, J Wang, A Han - Neurocomputing, 2023 - Elsevier
… kernels to optimize support vector machine learning, ensuring … state of overfitting in deep
+learning, where overfitting occurs … realm of explainable machine learning assessments and will …
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+================================================================================ +machine learning - Google Scholar
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[PDF] subu.edu.tr

Comparison of machine learning algorithms for slope stability prediction using an automated machine learning approach

TF Kurnaz, C Erden, U Dağdeviren, AS Demir… - Natural Hazards, 2024 - Springer
… the effectiveness of advanced machine learning (ML) algorithms … On the other hand, automated
+machine learning (AutoML) … The weighted ensemble learning algorithm provided by the …
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Applications of machine learning in thermochemical conversion of biomass-A review

SR Naqvi, Z Ullah, SAA Taqvi, MNA Khan, W Farooq… - Fuel, 2023 - Elsevier
… Among these strategies, machine learning (ML) has attracted substantial interest in
+recent years in thermochemical conversion process optimization, yield prediction, real-time …
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[HTML][HTML] Exploring evaluation methods for interpretable machine learning: A survey

N Alangari, M El Bachir Menai, H Mathkour… - Information, 2023 - mdpi.com
… In the context of machine learning, many definitions are provided. Biran and Cotton [5] …
+interpretability in a machine learning framework is [9] “the use of machine learning models for the …
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[HTML] mdpi.com

[HTML][HTML] Creating rutting prediction models through machine learning techniques utilizing the long-term pavement performance database

AJ Alnaqbi, W Zeiada, GG Al-Khateeb, K Hamad… - Sustainability, 2023 - mdpi.com
… other machine learning methods tested in this study. Comparison Analysis was made for 10
+randomly selected sections on our novel machine learning … of advanced machine learning in …
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[HTML] mdpi.com

[HTML][HTML] Software defect prediction analysis using machine learning techniques

A Khalid, G Badshah, N Ayub, M Shiraz, M Ghouse - Sustainability, 2023 - mdpi.com
… models utilizing various machine learning approaches. Many … we predict the fault using a
+Machine Learning (ML) approach … models using different machine learning methods. A wide …
Save Cite Cited by 91 Related articles All 6 versions Cached
[PDF] ieee.org

A review of recent advances, challenges, and opportunities in malicious insider threat detection using machine learning methods

FR Alzaabi, A Mehmood - IEEE Access, 2024 - ieeexplore.ieee.org
… , and the integration of artificial intelligence and machine learning-driven solutions. In sectors
+like … by AI and machine learning for detection and classification in modern organizations [2]…
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Divination of air quality assessment using ensembling machine learning approach

P William, DN Paithankar, PM Yawalkar… - 2023 International …, 2023 - ieeexplore.ieee.org
… Over the last several decades, a slew of machine learning techniques … machine learning
+algorithms. While the processing speed of Apache Spark is favourable, the machine learning …
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[HTML][HTML] Application of artificial intelligence and machine learning for BIM

D Bassir, H Lodge, H Chang, J Majak… - International Journal for …, 2023 - ijsmdo.org
… learning, which is commonly used in tasks such as classification and regression, involves
+training a machine learning … unsupervised learning involves training a machine learning model …
Save Cite Cited by 50 Related articles All 7 versions

Quantum machine learning for computational methods in engineering: a systematic review

SK Sood, M Agrewal - Archives of Computational Methods in Engineering, 2024 - Springer
… However, reinforcement learning indicates the agents … The self-supervised quantum machine
+learning is not included … self-supervised quantum machine learning is already included in …
Save Cite Cited by 23 Related articles All 2 versions
[PDF] springer.com

Machine learning and power relations

J Maas - AI & SOCIETY, 2023 - Springer
… I illustrate my claims on the basis of a risk-prediction machine learning system, and propose
+institutional (external auditing) and project-specific solutions (increase contestability through …
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+================================================================================ +machine learning - Google Scholar
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Page 90 of 641,000 results (1.27 sec)
[PDF] techscience.press

Intrusion Detection System with Customized Machine Learning Techniques for NSL-KDD Dataset.

M Zakariah, SA AlQahtani… - Computers …, 2023 - search.ebscohost.com
… In addition, networked communication anomalies and breaches must be detected using
+Machine Learning (ML). This paper uses the NSL-KDD data set to propose a novel IDS based …
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[HTML] mdpi.com

[HTML][HTML] Adversarial machine learning attacks against intrusion detection systems: A survey on strategies and defense

A Alotaibi, MA Rassam - Future Internet, 2023 - mdpi.com
… Machine learning (ML) approaches are changing our perceptions of the world and affecting
+… ML techniques can produce satisfactory results in many situations since machine-generated …
Save Cite Cited by 141 Related articles All 5 versions Cached

Cloud-based in-situ battery life prediction and classification using machine learning

Y Zhang, M Zhao - Energy Storage Materials, 2023 - Elsevier
… The relationship between the physical features and battery life is captured by using machine
+learning. The proposed methodology is validated based on experimental data of more than …
Save Cite Cited by 104 Related articles

Identification of 71 factors influencing urban vitality and examination of their spatial dependence: A comprehensive validation applying multiple machine-learning …

Z Wang, X Wang, Y Liu, L Zhu - Sustainable Cities and Society, 2024 - Elsevier
… complex relationships, and machine learning tends to ignore … analyzed to build a spatial
+machine-learning model (SML). … , spatial lag, and basic machine-learning model. 2) Spatial …
Save Cite Cited by 35 Related articles All 2 versions

Practical machine learning: Forecasting daily financial markets directions

BM Henrique, VA Sobreiro, H Kimura - Expert Systems with Applications, 2023 - Elsevier
… Statistical and machine learning techniques are intensively researched in the search for a
+… The main achieved result is the demonstration of how a machine learning approach would …
Save Cite Cited by 26 Related articles All 2 versions
[PDF] arxiv.org

Rigor with machine learning from field theory to the Poincaré conjecture

S Gukov, J Halverson, F Ruehle - Nature Reviews Physics, 2024 - nature.com
… zero-error results with machine learning, with a focus on … or verification by reinforcement
+learning. We survey applications of … We also discuss connections between machine learning …
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Power system monitoring for electrical disturbances in wide network using machine learning

J Wei, A Chammam, J Feng, A Alshammari… - … Informatics and Systems, 2024 - Elsevier
… These selected features are fed as input into the Extreme learning machine to classify the
+power quality events. This machine learning advantage is that it can analyze many wide-area …
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[PDF] sciencedirect.com

A machine learning-based comparative approach to predict the crop yield using supervised learning with regression models

B Panigrahi, KCR Kathala, M Sujatha - Procedia Computer Science, 2023 - Elsevier
… Machine learning facilitates the … Machine Learning (ML) model to predict farm production.
+To estimate crop yields, the data was collected and trained using supervised machine learning …
Save Cite Cited by 107 Related articles All 2 versions
[PDF] nature.com

Direct generation of protein conformational ensembles via machine learning

G Janson, G Valdes-Garcia, L Heo, M Feig - Nature Communications, 2023 - nature.com
… Here, we demonstrate that machine learning can be trained with simulation data to directly
+generate physically realistic conformational ensembles of proteins without the need for any …
Save Cite Cited by 148 Related articles All 11 versions

Introduction of machine learning and artificial intelligence in biofuel technology

JA Okolie - Current Opinion in Green and Sustainable Chemistry, 2024 - Elsevier
Artificial intelligence (AI) including machine learning (ML) has played a leading role in advancing
+biofuel technology with applications ranging from product yield prediction, optimization …
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+================================================================================ +machine learning - Google Scholar
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Page 91 of 641,000 results (0.88 sec)

Machine learning investigation of tuberculosis with medicine immunity impact

H Qureshi, Z Shah, MAZ Raja, MY Alshahrani… - … and Infectious Disease, 2024 - Elsevier
… In the present article, we employ AI-based machine learning techniques to investigate
+the immunity impact of medications. SEIPR epidemiological model is incorporated with MDR-TB …
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[HTML] mdpi.com

[HTML][HTML] Fuzzy machine learning applications in environmental engineering: Does the ability to deal with uncertainty really matter?

A Bressane, AJS Garcia, MV Castro, SD Xerfan… - Sustainability, 2024 - mdpi.com
… As a promising direction, this study explores fuzzy machine learning (ML) as an
+underutilized alternative. Research Question: Although the potential of fuzzy logic is widely …
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[HTML] mdpi.com

[HTML][HTML] Advancing healthcare: synergizing biosensors and machine learning for early cancer diagnosis

M Kokabi, MN Tahir, D Singh, M Javanmard - Biosensors, 2023 - mdpi.com
… Furthermore, machine learning (ML) algorithms have been employed to analyze sensor …
+In this review paper, we provide details on how various machine learning algorithms contribute …
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[PDF] acm.org

Machine learning sensors

P Warden, M Stewart, B Plancher, S Katti… - Communications of the …, 2023 - dl.acm.org
… More recently, efforts have progressed in dovetailing the domains of IoT and machine
+learning to embed intelligence directly on the device, known as tiny machine learning (TinyML).TinyML …
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[HTML] mdpi.com

[HTML][HTML] A comprehensive survey of unmanned aerial vehicles detection and classification using machine learning approach: Challenges, solutions, and future …

MH Rahman, MAS Sejan, MA Aziz, R Tabassum… - Remote Sensing, 2024 - mdpi.com
… In recent years, machine learning (ML) algorithms have … technologies based on ML and
+deep learning (DL) algorithms. … sensor- and reinforcement learning-based UAV detection and …
Save Cite Cited by 64 Related articles All 4 versions Cached
[PDF] ahajournals.orgFull View

Machine learning and bias in medical imaging: opportunities and challenges

A Vrudhula, AC Kwan, D Ouyang… - Circulation …, 2024 - ahajournals.org
… Machine learning (ML) applied to diagnostic imaging has demonstrated the potential to …
+mitigated by artificial intelligence (AI) and machine learning (ML). Conversely, some disparities …
Save Cite Cited by 32 Related articles All 5 versions

Applications of artificial intelligence, machine learning, and deep learning on facial plastic surgeries

E Tokgöz, MA Carro - Cosmetic and reconstructive facial plastic surgery: A …, 2023 - Springer
… Machine learning has been applied in ophthalmology and evaluation of eyelid contours [34,35,36,37,38].
+A deep learning-… (GAN) in the machine learning theory to improve accuracy of …
Save Cite Cited by 49 Related articles All 3 versions

Machine Learning Based Cardiovascular Detection Approach

RK Kanna, A Ambikapathy, M Brayyich… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
… conditions using a variety of machine learning (ML) methods, … reinforcement learning,
+unsupervised learning, and learning under … We then get to the machine learning component. …
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[BOOK][B] AI and machine learning impacts in intelligent supply chain

BK Pandey, UK Kanike, AS George, D Pandey - 2024 - books.google.com
… This research investigates the application of machine learning (ML) algorithms to enhance
+supply chain resilience during the COVID-19 crisis. The authors evaluated several ML …
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[HTML] mdpi.com

[HTML][HTML] Optimisation of knowledge management (KM) with machine learning (ML) enabled

M Anshari, M Syafrudin, A Tan, NL Fitriyani, Y Alas - Information, 2023 - mdpi.com
… to which machine learning … , machine learning, and knowledge management. This research
+also shows that only 10% of the research that has been published is about machine learning …
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Page 92 of 641,000 results (0.98 sec)

Regional steel price index predictions for the southwest Chinese market through machine learning

B Jin, X Xu - Ironmaking & Steelmaking, 2024 - journals.sagepub.com
… the benefits of machine learning … machine learning technique. Empirical evidence of price
+forecasts could contribute to enrich the literature in terms of the usefulness of machine learning …
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[PDF] arxiv.org

Towards data-centric graph machine learning: Review and outlook

X Zheng, Y Liu, Z Bao, M Fang, X Hu, AWC Liew… - arXiv preprint arXiv …, 2023 - arxiv.org
… machine learning into three categories, ie, node-level tasks, edge-level tasks, and graph-level
+tasks. Node-level Tasks. Node-level graph machine learning … graph machine learning …
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[PDF] wiley.com

Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patents

M Miric, N Jia, KG Huang - Strategic Management Journal, 2023 - Wiley Online Library
… However, recent machine learning (ML) tools for text classification and natural language
+processing can be used to construct quantitative variables and to classify unstructured text …
Save Cite Cited by 164 Related articles All 8 versions
[PDF] academia.edu

Prediction of Alzheimer's disease using hybrid machine learning technique

MS Kumar, H Azath, AK Velmurugan… - AIP Conference …, 2023 - pubs.aip.org
… Deep Learning is a neural network aids the health service in medical image diagnosing.
+The image recognition using graphic learning result in mistake discovery by machine learning. …
Save Cite Cited by 67 Related articles All 4 versions

A review of axial and radial ejectors: Geometric design, computational analysis, performance, and machine learning approaches

G Al-Doori, K Saleh, A Al-Manea, R Al-Rbaihat… - Applied Thermal …, 2025 - Elsevier
This review examines the critical role of ejectors in refrigeration systems, emphasizing the
+need for a deeper understanding of their performance characteristics, particularly through a …
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[HTML] mdpi.com

[HTML][HTML] The personal health applications of machine learning techniques in the internet of behaviors

Z Amiri, A Heidari, M Darbandi, Y Yazdani… - Sustainability, 2023 - mdpi.com
With the swift pace of the development of artificial intelligence (AI) in diverse spheres, the
+medical and healthcare fields are utilizing machine learning (ML) methodologies in numerous …
Save Cite Cited by 91 Related articles All 6 versions Cached
[PDF] springer.com

A comprehensive survey on machine learning approaches for fake news detection

J Alghamdi, S Luo, Y Lin - Multimedia Tools and Applications, 2024 - Springer
… Machine learning (ML) and deep learning (DL) techniques have emerged as promising
+approaches for characterising and identifying fake news content. This paper presents an …
Save Cite Cited by 85 Related articles All 4 versions
[PDF] frontiersin.org

Machine learning in toxicological sciences: opportunities for assessing drug toxicity

L Tonoyan, AG Siraki - Frontiers in Drug Discovery, 2024 - frontiersin.org
… Predicting toxicity through machine learning can have significant societal impacts, including
+… 1 Introduction to machine learning Machine learning (ML) has developed into a powerful …
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Accelerating ionizable lipid discovery for mRNA delivery using machine learning and combinatorial chemistry

B Li, IO Raji, AGR Gordon, L Sun, TM Raimondo… - Nature Materials, 2024 - nature.com
… To address this, we integrated machine learning (ML) methods to further expedite the LNP
+screening process. Initial lipid libraries, generated using the 4CR system, were assessed to …
Save Cite Cited by 103 Related articles All 4 versions

Application of machine learning in carbon capture and storage: An in-depth insight from the perspective of geoscience

P Yao, Z Yu, Y Zhang, T Xu - Fuel, 2023 - Elsevier
… Machine learning (ML), one of the fastest developing intelligent technology fields at present
+era, is … Support vector machine (SVM) was generally combined with other ML methods for the …
Save Cite Cited by 117 Related articles All 2 versions
+================================================================================ +machine learning - Google Scholar
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Page 93 of 641,000 results (1.45 sec)

Coronary heart disease prediction and classification using hybrid machine learning algorithms

KB Sk, D Roja, SS Priya, L Dalavi… - … on Innovative Data …, 2023 - ieeexplore.ieee.org
… The purpose of this analysis is to use previous health information to forecast CHD utilizing
+Machine Learning (ML). The main objective of this analysis is to identify correlations in CHD …
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[HTML] mdpi.com

[HTML][HTML] Pipeline leakage detection using acoustic emission and machine learning algorithms

N Ullah, Z Ahmed, JM Kim - Sensors, 2023 - mdpi.com
… This article proposes a machine learning-based platform for … signal as features to train the
+machine learning models. An adaptive … and evaluating supervised machine learning models to …
Save Cite Cited by 98 Related articles All 8 versions Cached
[PDF] researchgate.net

Identification of heart diseases using novel machine learning method

R Veeranjaneyulu, S Boopathi… - … on Advances in …, 2023 - ieeexplore.ieee.org
… The major objective of this study is to employ machine learning to increase heart disease …
+with chosen features by combining support Vector machine (SVM) and genetic algorithm (GA) …
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[PDF] frontiersin.org

Addressing uncertainty in the safety assurance of machine-learning

S Burton, B Herd - Frontiers in Computer Science, 2023 - frontiersin.org
There is increasing interest in the application of machine learning (ML) technologies to
+safety-critical cyber-physical systems, with the promise of increased levels of autonomy due to …
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[HTML] sciencedirect.com

[HTML][HTML] Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis

M Hasan, MS Rahman, H Janicke, IH Sarker - Blockchain: Research and …, 2024 - Elsevier
… , and (ii) our proposed ensemble classifiers outperform traditional single tree-based
+machine learning classifiers in terms of accuracy, TPR, and false positive rate (FPR) scores. …
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[HTML] mdpi.com

[HTML][HTML] Analysis of bitcoin price prediction using machine learning

J Chen - Journal of risk and financial management, 2023 - mdpi.com
… As an important criterion to evaluate the prediction accuracy of machine learning, this
+study quantifies the prediction performance of the model by using three errors, MAPE (mean …
Save Cite Cited by 156 Related articles All 7 versions Cached
[PDF] sagepub.comFull View

Breast cancer prediction based on multiple machine learning algorithms

S Zhou, C Hu, S Wei, X Yan - Technology in cancer research …, 2024 - journals.sagepub.com
… -learning model for breast cancer classification. It … and machine learning models in disease
+diagnosis within the medical field. In addition, this article proposes to use machine learning …
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[HTML] mdpi.com

[HTML][HTML] Machine learning models for the identification of prognostic and predictive cancer biomarkers: a systematic review

Q Al-Tashi, MB Saad, A Muneer, R Qureshi… - International journal of …, 2023 - mdpi.com
… The purpose of the review is to highlight the biomarker identification methods that involve
+machine learning and deep learning, as their use is expected to be a prominent issue in the …
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[PDF] springer.com

Application of machine learning in measurement of ageing and geriatric diseases: a systematic review

A Das, P Dhillon - BMC geriatrics, 2023 - Springer
… in the use of machine learning in geriatric diseases and care. Machine learning has emerged
+… state of research in geriatrics and the application of machine learning methods in this area. …
Save Cite Cited by 26 Related articles All 12 versions

Credit risk prediction using ensemble machine learning algorithms

V Kanaparthi - 2023 International Conference on Inventive …, 2023 - ieeexplore.ieee.org
… risk in financial institutions using ensemble machine learning models. The data is preprocessed,
+… The first ten relevant features are selected for training the machine learning models. To …
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[PDF] arxiv.org

A comparative study of statistical and machine learning models on carbon dioxide emissions prediction of China

X Li, X Zhang - Environmental Science and Pollution Research, 2023 - Springer
… exogenous factors (SARIMAX), and three machine learning models: artificial neural network
+(ANN… Our findings reveal that the three machine learning models consistently outperform the …
Save Cite Cited by 62 Related articles All 11 versions
[PDF] centuryscipub.com

Enhancing collaborative machine learning for security and privacy in federated learning

M Zhu, J Yuan, G Wang, Z Xu… - Journal of Theory and …, 2024 - centuryscipub.com
… Thus, safeguarding the security and privacy of machine learning processes has … with machine
+learning algorithms. It explores methods and technologies for securing federated learning, …
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Industrial carbon emission forecasting considering external factors based on linear and machine learning models

L Ye, P Du, S Wang - Journal of Cleaner Production, 2024 - Elsevier
… In this study, we propose a novel carbon emission forecasting framework combining linear
+and machine learning models that considers both time dynamics and external influences. To …
Save Cite Cited by 46 Related articles All 2 versions
[PDF] researchgate.net

Smart food monitoring system based on iot and machine learning

MJI Tutul, M Alam, MAH Wadud - … , IoT and Machine Learning  …, 2023 - ieeexplore.ieee.org
… of Things (IoT) and Machine Learning (ML) technologies. The … is analyzed using machine
+learning algorithms to determine … system using IoT and machine learning provides a reliable …
Save Cite Cited by 31 Related articles All 3 versions
[PDF] wiley.com

Calibrating machine learning approaches for probability estimation: A comprehensive comparison

FM Ojeda, ML Jansen, A Thiéry… - Statistics in …, 2023 - Wiley Online Library
… In view of this diversity, we performed a systematic evaluation of various popular calibration
+approaches used by the statistical and the machine learning communities for estimating two‐…
Save Cite Cited by 35 Related articles All 4 versions
[PDF] arxiv.org

Towards understanding fairness and its composition in ensemble machine learning

U Gohar, S Biswas, H Rajan - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
Machine Learning (ML) software has been widely adopted in modern society, with reported
+fairness implications for minority groups based on race, sex, age, etc. Many recent works …
Save Cite Cited by 49 Related articles All 14 versions
[PDF] arxiv.org

Machine learning for administrative health records: A systematic review of techniques and applications

A Caruana, M Bandara, K Musial, D Catchpoole… - Artificial intelligence in …, 2023 - Elsevier
… purposes, and the use of machine learning on AHRs is a growing … the breadth of suitable
+machine learning techniques, and … We identify and analyse which machine learning techniques …
Save Cite Cited by 23 Related articles All 9 versions
[PDF] nature.com

Machine learning-based optimal crop selection system in smart agriculture

S Rani, AK Mishra, A Kataria, S Mallik, H Qin - Scientific Reports, 2023 - nature.com
… Machine learning algorithms facilitate this process to a great extent for better results. In
+this paper, the authors proposed an ML-based crop selection model based on the weather …
Save Cite Cited by 126 Related articles All 11 versions
[PDF] researchgate.net

Forecasting realized volatility with machine learning: Panel data perspective

H Zhu, L Bai, L He, Z Liu - Journal of Empirical Finance, 2023 - Elsevier
Abstract Machine learning approaches have become very popular in many fields in this big
+data age. This paper considers the problem of forecasting realized volatility with machine …
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[HTML][HTML] An inception V3 approach for malware classification using machine learning and transfer learning

M Ahmed, N Afreen, M Ahmed, M Sameer… - International Journal of …, 2023 - Elsevier
… of various machine learning and deep learning technologies … Network (CNN), transfer
+learning on CNN and Long Short … with machine learning as well as deep learning architecture …
Save Cite Cited by 105 Related articles All 4 versions
+================================================================================ +machine learning - Google Scholar
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[HTML] sciencedirect.com

[HTML][HTML] … -efficient routing protocols for UWSNs: A comprehensive review of taxonomy, challenges, opportunities, future research directions, and machine learning …

SU Khan, ZU Khan, M Alkhowaiter, J Khan… - Journal of King Saud …, 2024 - Elsevier
… We compare contemporary approaches that use machine learning (ML) with conventional
+protocols, as ML-based approaches have shown significant potential in resolving the intricate …
Save Cite Cited by 35 Related articles All 2 versions
[PDF] arxiv.org

Recent and upcoming developments in randomized numerical linear algebra for machine learning

M Dereziński, MW Mahoney - Proceedings of the 30th ACM SIGKDD …, 2024 - dl.acm.org
… Large matrices arise in many machine learning and data analysis applications, including as
+… core numerical libraries, and advances in machine learning, statistics, and random matrix …
Save Cite Cited by 18 Related articles All 6 versions

[BOOK][B] Fundamentals of supervised machine learning

G Cerulli - 2023 - Springer
… rationale and ontology of Machine Learning. Its purpose is to … This chapter focuses on the
+statistics of Machine Learning, … application of individual Machine Learning methods. Chapter 3. …
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Machine learning in embedded systems: Limitations, solutions and future challenges

E Batzolis, E Vrochidou… - 2023 IEEE 13th annual …, 2023 - ieeexplore.ieee.org
… of embedded devices, where machine learning is deployed to … machine learning models
+into embedded systems. This work aims to provide an overview of the use of machine learning …
Save Cite Cited by 23 Related articles

Data-driven predictions of shield attitudes using Bayesian machine learning

L Wang, Q Pan, S Wang - Computers and Geotechnics, 2024 - Elsevier
… In this paper, a novel data-driven Bayesian machine learning method for site-specific
+shield attitude predictions is proposed by simultaneously considering the spatial variability of …
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[HTML] mdpi.com

[HTML][HTML] Slope stability prediction method based on intelligent optimization and machine learning algorithms

Y Yang, W Zhou, IM Jiskani, X Lu, Z Wang, B Luan - Sustainability, 2023 - mdpi.com
… In this study, the machine learning algorithm was used to simulate and predict … the machine
+learning algorithm. This chapter briefly introduces the principles of the five machine learning …
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[HTML][HTML] A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches

MG Uddin, S Nash, A Rahman, AI Olbert - Water Research, 2023 - Elsevier
With the significant increase in WQI applications worldwide and lack of specific application
+guidelines, accuracy and reliability of WQI models is a major issue. It has been reported that …
Save Cite Cited by 183 Related articles All 9 versions

Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects

MQ Tran, HP Doan, VQ Vu, LT Vu - Measurement, 2023 - Elsevier
… limitations of implementing machine learning, deep learning, and IoT technologies in tool-embedded
+TCM, namely big data handling, generalization of Machine Learning models, as …
Save Cite Cited by 124 Related articles All 2 versions

Efficient machine learning method for evaluating compressive strength of cement stabilized soft soil

C Zhang, Z Zhu, F Liu, Y Yang, Y Wan, W Huo… - … and Building Materials, 2023 - Elsevier
… This study aims to propose an efficient machine learning model to … Secondly, eight machine
+learning models were established to … A reliable database and machine learning model are …
Save Cite Cited by 59 Related articles
[PDF] nature.com

Machine learning reveals diverse cell death patterns in lung adenocarcinoma prognosis and therapy

S Wang, R Wang, D Hu, C Zhang, P Cao… - NPJ Precision …, 2024 - nature.com
… machine learning-based integrative procedure for LUAD patients We employed a machine
+learning-… 3: A consensus PCDI was developed and validated via the machine learning-based …
Save Cite Cited by 54 Related articles All 8 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] springer.com

Machine learning for membrane design in energy production, gas separation, and water treatment: a review

AI Osman, M Nasr, M Farghali, SS Bakr… - Environmental …, 2024 - Springer
… Here, we review the use of machine learning to improve membrane efficiency, with … We
+found that the use of machine learning brings substantial improvements in performance …
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[HTML][HTML] The application of machine learning to air pollution research: A bibliometric analysis

Y Li, Z Sha, A Tang, K Goulding, X Liu - Ecotoxicology and Environmental …, 2023 - Elsevier
… Machine learning (ML) is an advanced computer algorithm that simulates the human
+learning process to solve problems. With an explosion of monitoring data and the increasing …
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[PDF] nature.com

Spice, a dataset of drug-like molecules and peptides for training machine learning potentials

P Eastman, PK Behara, DL Dotson, R Galvelis, JE Herr… - Scientific Data, 2023 - nature.com
… Machine learning potentials are an important tool for molecular simulation, but their … We
+train a set of machine learning potentials on it and demonstrate that they can achieve chemical …
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[PDF] jmlr.org

Weisfeiler and leman go machine learning: The story so far

C Morris, Y Lipman, H Maron, B Rieck… - … of Machine Learning …, 2023 - jmlr.org
… for machine learning with graphs and relational data. Here, we give a comprehensive overview
+of the algorithm's use in a machine-learning … and node representation learning, discuss …
Save Cite Cited by 169 Related articles All 11 versions View as HTML

SNIB: improving spike-based machine learning using nonlinear information bottleneck

S Yang, B Chen - IEEE transactions on systems, man, and …, 2023 - ieeexplore.ieee.org
… While deep neural networks (DNNs) have achieved remarkable success in various machine
+learning tasks due to their deep hierarchical structures that enable learning of big data …
Save Cite Cited by 89 Related articles All 2 versions
[PDF] mesopotamian.press

Data-driven sustainability: leveraging big data and machine learning to build a greener future

MA Mohammed, MA Ahmed… - Babylonian Journal of …, 2023 - mesopotamian.press
… This paper explores frameworks harnessing big data and machine learning (ML) to promote
+ecological sustainability across contexts like energy, agriculture, conservation and resilience…
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[PDF] nih.gov

Machine learning strategies for reaction development: toward the low-data limit

E Shim, A Tewari, T Cernak… - Journal of chemical …, 2023 - ACS Publications
… In summary, transfer learning is a machine learning approach for making initial hypotheses
+in a new reaction space, maximizing use of prior reaction data from a nearby but indirectly …
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[PDF] arxiv.org

Machine learning for large-scale optimization in 6G wireless networks

Y Shi, L Lian, Y Shi, Z Wang, Y Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
… requirements, and machine learning capabilities, which leads … and theoretical tools), machine
+learning (ML) stands out as a … the most representative “learning to optimize” techniques in …
Save Cite Cited by 170 Related articles All 5 versions
[PDF] springer.com

The new era of computer network by using machine learning

S Namasudra, P Lorenz, U Ghosh - Mobile Networks and Applications, 2023 - Springer
… Progressive Neural Networks”, a novel machine learning algorithm has been proposed to
+enhance … This novel scheme effectively solves complex tasks through transfer learning, while …
Save Cite Cited by 20 Related articles All 5 versions
[HTML] mdpi.com

[HTML][HTML] Application of machine learning for insect monitoring in grain facilities

QA Mendoza, L Pordesimo, M Neilsen, P Armstrong… - AI, 2023 - mdpi.com
… recently, machine vision was combined with machine learning for enhanced stored insect
+grain detection and classification accuracy [5]. One of the most widely used machine learning …
Save Cite Cited by 36 Related articles All 7 versions Cached
+================================================================================ +machine learning - Google Scholar
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[PDF] nature.com

Machine learning algorithms reveal potential miRNAs biomarkers in gastric cancer

H Azari, E Nazari, R Mohit, A Asadnia, M Maftooh… - Scientific reports, 2023 - nature.com
… In the present study, TCGA data analysis of stomach cancer using machine learning
+algorithms identified 29 miRNA candidates. Even though machine learning offers different …
Save Cite Cited by 44 Related articles All 13 versions
[PDF] springer.com

Pima Indians diabetes mellitus classification based on machine learning (ML) algorithms

V Chang, J Bailey, QA Xu, Z Sun - Neural Computing and Applications, 2023 - Springer
… This paper proposes an e-diagnosis system based on machine learning (ML) algorithms
+to be implemented on the Internet of Medical Things (IoMT) environment, particularly for …
Save Cite Cited by 350 Related articles All 14 versions
[PDF] researchgate.net

A systematic review of recent machine learning techniques for plant disease identification and classification

L Goel, J Nagpal - IETE Technical Review, 2023 - Taylor & Francis
… used machine learning classifier in recent years. In Analysis, the survey of machine learning
+… that Support Vector Machine (SVM) has been used extensively for disease classification. …
Save Cite Cited by 66 Related articles All 4 versions
[PDF] nature.com

Enhanced SOC estimation of lithium ion batteries with RealTime data using machine learning algorithms

PS Babu, IV, AB, VS, KC - Scientific Reports, 2024 - nature.com
… This paper presents a comparative assessment of multiple machine learning regression
+algorithms including Support Vector Machine, Neural Network, Ensemble Method, and …
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[PDF] ijmscs.org

A comparative analysis of machine learning algorithms for the purpose of predicting Norwegian air passenger traffic

A Stanulov, S Yassine - … Journal of Mathematics, Statistics, and Computer …, 2024 - ijmscs.org
… ABSTRACT This analysis aims to provide an overview of potential machine learning … as an
+overview of machine learning algorithms, neural networks, and learning methods. Further, an …
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[PDF] nature.com

Identifying top ten predictors of type 2 diabetes through machine learning analysis of UK Biobank data

M Lugner, A Rawshani, E Helleryd, B Eliasson - Scientific reports, 2024 - nature.com
The study aimed to identify the most predictive factors for the development of type 2 diabetes.
+Using an XGboost classification model, we projected type 2 diabetes incidence over a 10-…
Save Cite Cited by 46 Related articles All 8 versions
[PDF] springer.com

Machine learning insights in predicting heavy metals interaction with biochar

X Wei, Y Liu, L Shen, Z Lu, Y Ai, X Wang - Biochar, 2024 - Springer
… The first stage in applying machine learning to … machine learning. The selection of suitable
+input descriptors (features) plays a critical role in improving the accuracy of machine learning …
Save Cite Cited by 29 Related articles All 6 versions
[PDF] abhilashsingh.net

Machine learning for coverage optimization in wireless sensor networks: a comprehensive review

OS Egwuche, A Singh, AE Ezugwu, J Greeff… - Annals of Operations …, 2023 - Springer
… of machine learning, we take a deep dive into the methodologies and algorithms employed
+by the included works. We also explore how machine learning … of machine learning in the …
Save Cite Cited by 47 Related articles All 2 versions
[PDF] oup.com

survex: an R package for explaining machine learning survival models

M Spytek, M Krzyziński, SH Langbein, H Baniecki… - …, 2023 - academic.oup.com
Due to their flexibility and superior performance, machine learning models frequently
+complement and outperform traditional statistical survival models. However, their widespread …
Save Cite Cited by 30 Related articles All 15 versions

Exploring machine learning solutions for overcoming challenges in IoT-based wireless sensor network routing: a comprehensive review

R Priyadarshi - Wireless Networks, 2024 - Springer
… This thorough analysis looks at how Machine Learning (ML) techniques may be used to … ,
+such as reinforcement learning and supervised and unsupervised learning, is then explored in …
Save Cite Cited by 75 Related articles All 4 versions
+================================================================================ +machine learning - Google Scholar
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Page 98 of 641,000 results (2.36 sec)

Engagement assessment in project-based education: a machine learning approach in team chat analysis

S Farshad, E Zorin, N Amangeldiuly… - Education and Information …, 2024 - Springer
… Project-based Learning (PBL) provides an effective environment for collaborative … This
+paper presents an empirical study examining the application of Machine Learning (ML) to …
Save Cite Cited by 34 Related articles All 4 versions
[PDF] osf.io

[PDF][PDF] Ransomware detection with machine learning by applying the lapranove function on bytecode

T Zhong, J Li - 2024 - files.osf.io
… can enhance the effectiveness of machine learning models. The … function in conjunction
+with machine learning to develop a … learning, Scikit-learn 0.24 for traditional machine learning …
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[PDF] researchgate.net

[PDF][PDF] Leveraging machine learning to optimize renewable energy integration in developing economies

I Barrie, CP Agupugo, HO Iguare… - Global Journal of …, 2024 - researchgate.net
… This review aims to explore how machine learning can be … understanding of the role that
+machine learning can play in optimizing … Through the adoption of machine learning, developing …
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[PDF] pnas.orgFull View

Bias in machine learning models can be significantly mitigated by careful training: Evidence from neuroimaging studies

R Wang, P Chaudhari, C Davatzikos - Proceedings of the National …, 2023 - pnas.org
… As machine learning is being applied to problems in the clinical sciences, there is an …
+Instead, they provide evidence that we might be able to develop unbiased machine learning-based …
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[HTML] sciencedirect.com

[HTML][HTML] AutoML: A systematic review on automated machine learning with neural architecture search

I Salehin, MS Islam, P Saha, SM Noman, A Tuni… - Journal of Information …, 2024 - Elsevier
… Machine Learning) is an emerging field that aims to automate the process of building machine
+learning … while repeating this process whenever machine learning is applied. In particular, …
Save Cite Cited by 194 Related articles All 2 versions
[PDF] saspublishers.com

[PDF][PDF] An intelligent machine learning approach for fraud detection in medical claim insurance: A comprehensive study

S Agarwal - Scholars Journal of Engineering and Technology, 2023 - saspublishers.com
… to select an appropriate machine learning algorithm, … rules, augmenting the machine learning
+algorithm to address the … performance of our intelligent machine-learning approach. The …
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[PDF] spiedigitallibrary.org

Machine learning for advancing low-temperature plasma modeling and simulation

J Trieschmann, L Vialetto… - Journal of Micro …, 2023 - spiedigitallibrary.org
… Machine learning has had an enormous impact in many scientific disciplines. It has also …
+from recent developments within the field of machine learning and data-driven modeling. In this …
Save Cite Cited by 36 Related articles All 4 versions

Machine learning for urban heat island (UHI) analysis: Predicting land surface temperature (LST) in urban environments

G Tanoori, A Soltani, A Modiri - Urban Climate, 2024 - Elsevier
This study investigates how urban configuration influences the distribution of heat, known as
+the Urban Heat Island (UHI) effect, in Shiraz, Iran. Several Machine Learning algorithms are …
Save Cite Cited by 93 Related articles All 3 versions
[PDF] nature.com

The impact of imputation quality on machine learning classifiers for datasets with missing values

T Shadbahr, M Roberts, J Stanczuk, J Gilbey… - Communications …, 2023 - nature.com
… the majority of the problems encountered in machine learning research applied to clinical
+data, ie, … In conclusion, this study highlights how machine learning classification models are …
Save Cite Cited by 83 Related articles All 16 versions
[PDF] nature.com

Machine learning prediction of the degree of food processing

G Menichetti, B Ravandi, D Mozaffarian… - Nature …, 2023 - nature.com
… Here we introduce a machine learning algorithm that accurately predicts the degree of
+processing for any food, indicating that over 73% of the US food supply is ultra-processed. We …
Save Cite Cited by 123 Related articles All 19 versions
+================================================================================ +machine learning - Google Scholar
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Page 99 of 641,000 results (1.67 sec)
[PDF] springer.com

A novel approach utilizing machine learning for the early diagnosis of Alzheimer's disease

KMM Uddin, MJ Alam, MA Uddin, S Aryal - Biomedical Materials & …, 2023 - Springer
… utilizing machine learning algorithms to … machine learning algorithm's accuracy. For optimal
+outcomes, in this research, the data are cleaned up before being used in a machine learning …
Save Cite Cited by 82 Related articles All 6 versions
[PDF] nih.gov

Current status and analysis of machine learning in hepatocellular carcinoma

S Feng, J Wang, L Wang, Q Qiu… - Journal of clinical …, 2023 - pmc.ncbi.nlm.nih.gov
… As the core component of artificial intelligence, machine learning (ML) has developed
+rapidly in the past decade. In particular, ML has become widely used in the medical field, and it …
Save Cite Cited by 30 Related articles All 9 versions
[PDF] wiley.com

Detecting insurance fraud using supervised and unsupervised machine learning

J Debener, V Heinke, J Kriebel - Journal of Risk and Insurance, 2023 - Wiley Online Library
… discriminatory power of the machine learning-based fraud … whether the machine learning
+approaches identify new fraud … a high fraud score by our machine learning methods that the …
Save Cite Cited by 67 Related articles All 6 versions
[PDF] researchsquare.com

Evaluation of machine learning algorithms for groundwater quality modeling

S Sahour, M Khanbeyki, V Gholami, H Sahour… - … Science and Pollution …, 2023 - Springer
… In this study, we developed a machine learning-based framework … machine learning
+classifiers, including extreme gradient boosting (XGB), random forest (RF), support vector machine (…
Save Cite Cited by 42 Related articles All 9 versions

Leveraging Temporal Patterns with LSTMs Networks for Financial Forecasting: A New Stastical Machine Learning Approach

K Thinakaran, S Soman, L Anitha… - … Security and Artificial …, 2023 - ieeexplore.ieee.org
… Long Short-Term Memory (LSTM) machine learning works in many situations. Implementing
+this strategy will require combining several machine-learning algorithms. Chong et al. (year) …
Save Cite Cited by 60 Related articles

Environmental sustainability: A machine learning approach for cost analysis in plastic recycling classification

B Carrera, JB Mata, VL Pinol, K Kim - Resources, Conservation and …, 2023 - Elsevier
… spectrum of polymers and machine learning algorithms. In addition, the … machine learning
+algorithms are suitable for plastic classification as four datasets and seven machine learning …
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New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier
… To address these challenges, artificial intelligence (AI) and machine learning (ML) models
+have been implicated in the diagnosis, prediction, and treatment of PD. Recent times have …
Save Cite Cited by 119 Related articles All 3 versions

Assessment of groundwater suitability for sustainable irrigation: a comprehensive study using indexical, statistical, and machine learning approaches

G Singh, J Singh, OA Wani, JC Egbueri… - Groundwater for …, 2024 - Elsevier
… The present study aimed to evaluate seasonal groundwater suitability for irrigation purposes
+using indexical approaches, statistical computing, graphical plotting, and machine learning …
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[HTML] sciencedirect.com

[HTML][HTML] Advances in hydrogen storage materials: harnessing innovative technology, from machine learning to computational chemistry, for energy storage solutions

AI Osman, M Nasr, AS Eltaweil, M Hosny… - International journal of …, 2024 - Elsevier
The demand for clean and sustainable energy solutions is escalating as the global population
+grows and economies develop. Fossil fuels, which currently dominate the energy sector, …
Save Cite Cited by 131 Related articles All 6 versions
[PDF] redalyc.org

[PDF][PDF] Técnicas y aplicaciones del Machine Learning e Inteligencia Artificial en educación: una revisión sistemática

W Forero-Corba, FN Bennasar - RIED-Revista Iberoamericana de …, 2024 - redalyc.org
… Machine learning is a field of artificial … of machine learning and artificial intelligence in
+Education is performed. The lack of knowledge and skills of educators in machine learning and …
Save Cite Cited by 165 Related articles All 8 versions View as HTML
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[PDF] unida.ac.id

Penggunaan Python sebagai bahasa pemrograman untuk machine learning dan deep learning

MRS Alfarizi, MZ Al-farish, M Taufiqurrahman… - Karimah …, 2023 - ojs.unida.ac.id
… Machine Learning di ibaratkan kendaraan bermotor maka data adalah bahan bakar utama
+dari machine learning, hal ini dikarenakan Machine Learning … -teknik machine learning maka …
Save Cite Cited by 121 Related articles All 2 versions View as HTML

[CITATION][C] Pembelajaran Machine Learning

A Wijoyo, AY Saputra, S Ristanti, S Sya'ban, M Amalia… - … Ilmu Komput. dan Sci., vol. 3 …, 2024
Save Cite Cited by 34 Related articles
[PDF] amikom.ac.id

Penerapan machine learning dalam prediksi tingkat kasus penyakit di Indonesia

RG Wardhana, G Wang… - Journal of Information …, 2023 - devjurnal.amikom.ac.id
… menjabarkan implementasi machine learning untuk memprediksi … kasus, pengaplikasian
+machine learning dengan pemodelan ARIMA … Kemudian, implementasi machine learning untuk …
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[CITATION][C] Perbandingan Algoritma Machine Learning untuk Analisis Sentimen Berbasis Aspek pada Review Female Daily

MH Wicaksono, MD Purbolaksono, S Al Faraby - eProceedings of Engineering, 2023
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[CITATION][C] Prediksi hasil panen tanaman pangan sumatera dengan metode machine learning

A Satria, RM Badri, I Safitri, H Artikel - Digital Transformation Technology, 2023
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Enhancing financial fraud detection using adaptive machine learning models and business analytics

A Adewumi, SE Ewim, NJ Sam-Bulya… - International Journal of …, 2024 - elibrary.ru
… This paper reviews the role of adaptive machine learning (ML) models and business analytics
+… The synergy between adaptive machine learning and business analytics promises a more …
Save Cite Cited by 68 Related articles
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About 644,000 results (0.06 sec)
[HTML] nih.gov

Machine learning for microbiologists

F Asnicar, AM Thomas, A Passerini… - Nature Reviews …, 2024 - nature.com
… how to evaluate a machine learning model and how … machine learning-based work. The
+topics presented in this work will allow microbiologists to grasp the potential of machine learning …
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[HTML] sciencedirect.com

[HTML][HTML] Scope of machine learning in materials research—A review

MH Mobarak, MA Mimona, MA Islam, N Hossain… - Applied Surface Science …, 2023 - Elsevier
This comprehensive review investigates the multifaceted applications of machine learning in
+materials research across six key dimensions, redefining the field's boundaries. It explains …
Save Cite Cited by 142 Related articles All 2 versions
[PDF] ssrn.com

Machine learning and deep learning: A review of methods and applications

K Sharifani, M Amini - World Information Technology and …, 2023 - papers.ssrn.com
… machine learning and deep learning, their differences, applications, and their impact on various
+industries. Machine learning and deep learning … of machine learning and deep learning, …
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[PDF] nsf.gov

[PDF][PDF] International conference on machine learning

W Li, C Wang, G Cheng, Q Song - Transactions on machine learning …, 2023 - par.nsf.gov
In this paper, we make the key delineation on the roles of resolution and statistical uncertainty
+in hierarchical bandits-based black-box optimization algorithms, guiding a more general …
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[HTML] sciencedirect.com

[HTML][HTML] A survey on dataset quality in machine learning

Y Gong, G Liu, Y Xue, R Li, L Meng - Information and Software Technology, 2023 - Elsevier
… of dataset quality in machine learning, including the definition of … of machine learning,
+which can help improve the accuracy, efficiency, and generalization ability of machine learning …
Save Cite Cited by 244 Related articles All 2 versions
[PDF] nowpublishers.com

Financial machine learning

B Kelly, D Xiu - Foundations and Trends® in Finance, 2023 - nowpublishers.com
… We survey the nascent literature on machine learning in the study of financial markets. We …
+This survey is designed for both financial economists interested in grasping machine learning …
Save Cite Cited by 162 Related articles All 12 versions Library Search View as HTML
[HTML] sciencedirect.com

[HTML][HTML] Applications of machine learning to water resources management: A review of present status and future opportunities

AA Ahmed, S Sayed, A Abdoulhalik, S Moutari… - Journal of Cleaner …, 2024 - Elsevier
… decades, machine learning tools have … on machine learning applications in water-related
+fields, this review paper presents for the first time a comprehensive review of machine learning …
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Financial applications of machine learning: A literature review

N Nazareth, YVR Reddy - Expert Systems with Applications, 2023 - Elsevier
… of machine learning and deep learning in … on machine learning in finance. The study finally
+points out possible research directions which might lead to new inquiries in machine learning …
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[HTML] sciencedirect.com

[HTML][HTML] Machine learning and artificial intelligence in CNC machine tools, a review

M Soori, B Arezoo, R Dastres - Sustainable Manufacturing and Service …, 2023 - Elsevier
… is applied to prediction techniques of energy consumption of CNC machine tools. In this
+paper, applications of machine learning and artificial intelligence systems in CNC machine tools …
Save Cite Cited by 204 Related articles All 3 versions

[BOOK][B] Probabilistic machine learning: Advanced topics

KP Murphy - 2023 - books.google.com
… working in machine learning and statistics who want to learn about deep learning, Bayesian
+… An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level …
Save Cite Cited by 650 Related articles All 4 versions Library Search
+================================================================================ +machine learning - Google Scholar
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[PDF] springer.com

Human-in-the-loop machine learning: a state of the art

E Mosqueira-Rey, E Hernández-Pereira… - Artificial Intelligence …, 2023 - Springer
… Researchers are defining new types of interactions between humans and machine learning
+… machine learning (HITL-ML) (Munro 2020). The idea is not only to make machine learning …
Save Cite Cited by 865 Related articles All 9 versions

Machine learning for battery systems applications: Progress, challenges, and opportunities

Z Nozarijouybari, HK Fathy - Journal of Power Sources, 2024 - Elsevier
… Machine learning has emerged as a transformative force … Machine learning excels in its
+ability to identify and capture … rich existing literature on battery machine learning into a structured …
Save Cite Cited by 77 Related articles All 2 versions
[DOC] cam.ac.uk

Machine learning for nanoplasmonics

JF Masson, JS Biggins, E Ringe - Nature Nanotechnology, 2023 - nature.com
… These complex datasets and trial-and-error practices make nanoplasmonics research ripe
+for the application of machine learning (ML) and advanced data processing methods. ML …
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[PDF] ieee.org

Machine learning operations (mlops): Overview, definition, and architecture

D Kreuzberger, N Kühl, S Hirschl - IEEE access, 2023 - ieeexplore.ieee.org
… ABSTRACT The final goal of all industrial machine learning (ML) projects is to develop
+ML … The paradigm of Machine Learning Operations (MLOps) addresses this issue. MLOps …
Save Cite Cited by 775 Related articles All 12 versions
[PDF] ssrn.com

Agricultural databases evaluation with machine learning procedure

M Amini, A Rahmani - … Journal of Engineering and Applied Science, 2023 - papers.ssrn.com
… machine learning techniques to agricultural databases. W e have designed and implemented
+a machine learning … dataset using a variety of machine learning schemes, and has several …
Save Cite Cited by 158 Related articles View as HTML
[PDF] nature.com

Small data machine learning in materials science

P Xu, X Ji, M Li, W Lu - npj Computational Materials, 2023 - nature.com
… Then, the workflow of materials machine learning has been introduced. Next, the … learning
+from the algorithm level; active learning and transfer learning from the machine learning …
Save Cite Cited by 459 Related articles All 5 versions
[PDF] academia.edu

[PDF][PDF] Machine learning in cybersecurity: Techniques and challenges

J Bharadiya - European Journal of Technology, 2023 - academia.edu
… , and security concerns with machine learning techniques themselves are all covered in this
+… a machinelearning model using supervised learning algorithms. Machine learning models …
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[BOOK][B] Mathematical analysis of machine learning algorithms

T Zhang - 2023 - books.google.com
… of achieving the capability of human decision-making by learning from past experience. It is
+an … successful machine learning algorithms, to the degree that machine learning has become …
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[PDF] ox.ac.uk

Pushing the frontiers in climate modelling and analysis with machine learning

V Eyring, WD Collins, P Gentine, EA Barnes… - Nature Climate …, 2024 - nature.com
… of machine learning beyond state-of-the-art approaches, not only by developing machine-learning-…
+Utilizing this potential requires key machine learning challenges to be addressed, in …
Save Cite Cited by 121 Related articles All 14 versions

of Machine Learning Techniques

V Sutaria, A Jain - Intelligent Strategies for ICT: Proceedings of …, 2025 - books.google.com
… For stress detection, this review describes the process, merits, and demerits of existing
+Machine Learning (ML)-centric models. The traditional models aim to provide accurate and real-…
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[HTML] mdpi.com

[HTML][HTML] Machine learning applications in agriculture: current trends, challenges, and future perspectives

SO Araujo, RS Peres, JC Ramalho, F Lidon, J Barata - Agronomy, 2023 - mdpi.com
… of Machine Learning in agriculture. The study investigates the foremost applications of
+Machine Learning, … impacts and outcomes of Machine Learning adoption and highlights some …
Save Cite Cited by 179 Related articles All 10 versions Cached
[PDF] google.com

Machine learning in environmental research: common pitfalls and best practices

JJ Zhu, M Yang, ZJ Ren - Environmental Science & Technology, 2023 - ACS Publications
… Machine learning (ML) is increasingly used in environmental research to process large data
+… By analyzing good examples on supervised learning and reference modeling paradigms, …
Save Cite Cited by 386 Related articles All 6 versions
[PDF] nih.gov

OpenMM 8: molecular dynamics simulation with machine learning potentials

P Eastman, R Galvelis, RP Peláez… - The Journal of …, 2023 - ACS Publications
Machine learning plays an important and growing role in … support the use of machine learning
+potentials. Arbitrary PyTorch … it practical to use machine learning to improve the accuracy …
Save Cite Cited by 274 Related articles All 12 versions
[PDF] centuryscipub.com

Research on machine learning with algorithms and development

L Yu, X Zhao, J Huang, H Hu… - Journal of Theory and …, 2023 - centuryscipub.com
… This study provides a relatively systematic introduction to machine learning. Firstly, it … of
+machine learning, and then focuses on the analysis of classical algorithms in machine learning. …
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[PDF] nature.com

Machine learning for a sustainable energy future

Z Yao, Y Lum, A Johnston, LM Mejia-Mendoza… - Nature Reviews …, 2023 - nature.com
… Here we explore the extent to which machine learning (ML) techniques can help to address
+many of these challenges 8,9,10 . ML models can be used to predict specific properties of …
Save Cite Cited by 393 Related articles All 15 versions
[PDF] springer.com

A systematic review of teaching and learning machine learning in K-12 education

IT Sanusi, SS Oyelere, H Vartiainen, J Suhonen… - Education and …, 2023 - Springer
… from being a contribution to the field of machine learning education as it systematically
+synthesizes research conducted on teaching and learning machine learning at K-12 levels. The …
Save Cite Cited by 229 Related articles All 9 versions
[PDF] mdpi.com

Crop prediction model using machine learning algorithms

E Elbasi, C Zaki, AE Topcu, W Abdelbaki, AI Zreikat… - Applied Sciences, 2023 - mdpi.com
… Machine learning applications are having a great impact on … benefits of integrating machine
+learning algorithms in modern … on the current state of machine learning in agriculture, …
Save Cite Cited by 268 Related articles All 8 versions Cached

Machine learning in architecture

B Topuz, NÇ Alp - Automation in Construction, 2023 - Elsevier
This paper explores the utilisation of machine learning in architecture, focusing on the
+addressed problems and commonly employed programming languages, software, platforms, …
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AI and machine learning for real-world problems

H Nozari, J Ghahremani-Nahr, A Szmelter-Jarosz - Advances in computers, 2024 - Elsevier
… for machine learning system based on machine learning and AIoT, allows the appropriate
+machine learning … This framework places “machine learning” in the space of visual analysis, …
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[PDF] researchgate.net

[PDF][PDF] An unsupervised machine learning algorithms: Comprehensive review

S Naeem, A Ali, S Anam… - International Journal of …, 2023 - researchgate.net
… The authors analyzed 35 papers between 2018 and 2022 and found that majority focused
+on unsupervised learning techniques. This review focused on unsupervised machine learning …
Save Cite Cited by 264 Related articles All 2 versions View as HTML
+================================================================================ +machine learning - Google Scholar
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eXtreme gradient boosting algorithm with machine learning: A review

ZA Ali, ZH Abduljabbar, HA Tahir, AB Sallow… - Academic Journal of …, 2023 - cir.nii.ac.jp
… areas for machine learning. XGBoost is a recently released machine learning algorithm
+that … -supervised learning (SSL) machine learning algorithms in a Python environment.</jats:p> …
Save Cite Cited by 197 Related articles Cached

A review of evaluation metrics in machine learning algorithms

G Naidu, T Zuva, EM Sibanda - Computer science on-line conference, 2023 - Springer
… Machine learning has gained significant acceptance in various industries [1]. Machine
+learning is a … The machine learning model studies from the data, classify general patterns and …
Save Cite Cited by 447 Related articles
[PDF] researchgate.net

A review of machine learning algorithms for biomedical applications

VA Binson, S Thomas, M Subramoniam, J Arun… - Annals of Biomedical …, 2024 - Springer
… machine learning algorithms per biomedical applications is presented. The key concepts of
+machine learning are supervised and unsupervised learning, … on the major machine learning …
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[HTML] mdpi.com

[HTML][HTML] Understanding of machine learning with deep learning: architectures, workflow, applications and future directions

MM Taye - Computers, 2023 - mdpi.com
… Using computer algorithms, machine learning enables the machine to … learning [8] is one
+of the machine learning methods that dominate in various application areas. Machine learning …
Save Cite Cited by 1000 Related articles All 6 versions Cached
[PDF] nih.gov

Machine learning methods for small data challenges in molecular science

B Dou, Z Zhu, E Merkurjev, L Ke, L Chen… - Chemical …, 2023 - ACS Publications
… more severe in machine learning (ML) and deep learning (DL) … We review both basic machine
+learning algorithms, such as … (KNN), support vector machine (SVM), kernel learning (KL), …
Save Cite Cited by 343 Related articles All 6 versions

Security Threats and Detection Mechanisms in Machine Learning

K Madhuri - Handbook of Artificial Intelligence, 2023 - books.google.com
… learning for data classification or determining the correct outcomes. Supervised learning is
+one of the types of machine learning … machine considers a supervisor in supervised learning, …
Save Cite Cited by 165 Related articles All 3 versions
[HTML] mdpi.com

[HTML][HTML] The challenges of machine learning: A critical review

E Barbierato, A Gatti - Electronics, 2024 - mdpi.com
The concept of learning has multiple interpretations, ranging from acquiring knowledge or
+skills to constructing meaning and social development. Machine Learning (ML) is considered …
Save Cite Cited by 138 Related articles All 6 versions Cached
[PDF] bio-conferences.org

An overview of machine learning classification techniques

AFAH Alnuaimi, THK Albaldawi - BIO Web of Conferences, 2024 - bio-conferences.org
… statistical learning and pattern recognition, machine learning now … between statistics and
+machine learning is evident, with … core of machine learning lies the concept of self-learning, a …
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[HTML] mdpi.com

[HTML][HTML] Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms

S Tufail, H Riggs, M Tariq, AI Sarwat - Electronics, 2023 - mdpi.com
… an in-depth analysis of the current machine learning technique that is being applied to solve
+… The machine learning engineer can understand the reasoning behind all machine learning …
Save Cite Cited by 215 Related articles All 3 versions Cached
[PDF] academia.edu

Predictive models for concrete properties using machine learning and deep learning approaches: A review

MM Moein, A Saradar, K Rahmati… - Journal of Building …, 2023 - Elsevier
… decades, machine learning has been used to model real-world problems. Machine learning,
+… Machine learning has many advantages over statistical and experimental models, such as …
Save Cite Cited by 395 Related articles All 3 versions
+================================================================================ +machine learning - Google Scholar
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[HTML] sciencedirect.com

[HTML][HTML] Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects

G Obaido, ID Mienye, OF Egbelowo… - Machine Learning with …, 2024 - Elsevier
… In recent years, machine learning (ML) has played a vital role in technological advancements
+and has shown promising results in various drug discovery and development stages. ML …
Save Cite Cited by 74 Related articles All 2 versions
[PDF] google.com

Promising directions of machine learning for partial differential equations

SL Brunton, JN Kutz - Nature Computational Science, 2024 - nature.com
… advanced by machine learning, including (1) discovering new governing PDEs and
+coarse-grained approximations for complex natural and engineered systems, (2) learning effective …
Save Cite Cited by 108 Related articles All 5 versions

Unsupervised machine learning methods and emerging applications in healthcare

CM Eckhardt, SJ Madjarova, RJ Williams… - Knee Surgery, Sports …, 2023 - Springer
… foundational unsupervised machine learning techniques and introduce key concepts to
+facilitate the application of unsupervised machine learning methods in health sciences research. …
Save Cite Cited by 161 Related articles All 7 versions
[PDF] researchgate.net

Impact of machine learning on management, healthcare and agriculture

H Pallathadka, M Mustafa, DT Sanchez… - Materials Today …, 2023 - Elsevier
… Machine learning and deep learning are two of the most often … Machine learning models
+for the complexity and diversity of … This article discusses machine learning and artificial …
Save Cite Cited by 248 Related articles All 3 versions
[HTML] annualreviews.org

[HTML][HTML] Enhanced sampling with machine learning

S Mehdi, Z Smith, L Herron, Z Zou… - Annual Review of …, 2024 - annualreviews.org
… In recent years, integration of machine learning (ML) techniques into different domains has
+… We highlight successful strategies such as dimensionality reduction, reinforcement learning, …
Save Cite Cited by 89 Related articles All 6 versions
[PDF] arxiv.org

Machine learning for the physics of climate

A Bracco, J Brajard, HA Dijkstra… - Nature Reviews …, 2025 - nature.com
… Advances in machine learning for climate physics have … Innovative approaches that use
+machine learning to learn parameterizations … The use of machine learning has enabled classical …
Save Cite Cited by 48 Related articles All 5 versions
[PDF] nature.com

Evaluation metrics and statistical tests for machine learning

O Rainio, J Teuho, R Klén - Scientific Reports, 2024 - nature.com
Research on different machine learning (ML) has become incredibly popular during the past
+few decades. However, for some researchers not familiar with statistics, it might be difficult …
Save Cite Cited by 810 Related articles All 6 versions

[BOOK][B] Ensemble methods for machine learning

G Kunapuli - 2023 - books.google.com
… machine learning who want to use this book as a learning … learning about the endless
+modeling possibilities with ensemble methods This book is not an introduction to machine learning …
Save Cite Cited by 152 Related articles All 3 versions Library Search
[PDF] springer.com

Evaluating machine learning models and their diagnostic value

G Varoquaux, O Colliot - Machine learning for brain disorders, 2023 - Springer
… This chapter describes model validation, a crucial part of machine learning whether it is to
+… of learning algorithms and external validation or evaluation of resulting prediction models. …
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[PDF] arxiv.org

Interpretable machine learning for science with PySR and SymbolicRegression. jl

M Cranmer - arXiv preprint arXiv:2305.01582, 2023 - arxiv.org
… PySR 3 is an open-source library for practical symbolic regression, a type of machine learning
+… backend, a flexible search algorithm, and interfaces with several deep learning packages. …
Save Cite Cited by 475 Related articles All 2 versions View as HTML
+================================================================================ +machine learning - Google Scholar
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[PDF] springer.com

The role of artificial neural network and machine learning in utilizing spatial information

A Goel, AK Goel, A Kumar - Spatial Information Research, 2023 - Springer
… , and reinforcement learning. The objective of the study is to present the role of artificial
+neural networks and machine learning in utilizing spatial information. Machine learning and AI …
Save Cite Cited by 249 Related articles All 6 versions

Traffic management approaches using machine learning and deep learning techniques: A survey

H Almukhalfi, A Noor, TH Noor - Engineering Applications of Artificial …, 2024 - Elsevier
… such as machine learning and deep learning to streamline … of leveraging machine learning
+and deep learning in Traffic … potential of machine learning and deep learning techniques. …
Save Cite Cited by 106 Related articles All 2 versions
[PDF] springer.com

Evaluation of a decided sample size in machine learning applications

D Rajput, WJ Wang, CC Chen - BMC bioinformatics, 2023 - Springer
Background An appropriate sample size is essential for obtaining a precise and reliable
+outcome of a study. In machine learning (ML), studies with inadequate samples suffer from …
Save Cite Cited by 334 Related articles All 9 versions
[PDF] researchgate.net

Byzantine machine learning: A primer

R Guerraoui, N Gupta, R Pinot - ACM Computing Surveys, 2024 - dl.acm.org
… Consequently, the general understanding on the principles of Byzantine machine learning
+… machine learning. In particular, we introduce three pillars of Byzantine machine learning, …
Save Cite Cited by 55 Related articles All 2 versions

Future of machine learning in geotechnics

KK Phoon, W Zhang - … : Assessment and Management of Risk for …, 2023 - Taylor & Francis
… The term “big data” in machine learning refers to data sets that are too … The keyword “machine
+learning” did not appear in the New … Wiki defines machine learning (ML) as the “study of …
Save Cite Cited by 262 Related articles All 3 versions
[PDF] annualreviews.org

Representations of materials for machine learning

J Damewood, J Karaguesian, JR Lunger… - Annual Review of …, 2023 - annualreviews.org
… High-throughput data generation methods and machine learning (ML) algorithms have
+given rise to a new era of computational materials science by learning the relations between …
Save Cite Cited by 103 Related articles All 4 versions
[HTML] nature.com

[HTML][HTML] Probabilistic weather forecasting with machine learning

I Price, A Sanchez-Gonzalez, F Alet, TR Andersson… - Nature, 2025 - nature.com
… Recent advances in machine learning (ML)-based weather prediction (MLWP) have produced
+ML-based models with less forecast error than single NWP simulations 2 , 3 . However, …
Save Cite Cited by 267 Related articles All 6 versions

Revolutionizing drug formulation development: The increasing impact of machine learning

Z Bao, J Bufton, RJ Hickman, A Aspuru-Guzik… - Advanced Drug Delivery …, 2023 - Elsevier
Over the past few years, the adoption of machine learning (ML) techniques has rapidly expanded
+across many fields of research including formulation science. At the same time, the use …
Save Cite Cited by 67 Related articles All 5 versions
[HTML] sciencedirect.com

[HTML][HTML] Knowledge Discovery: Methods from data mining and machine learning

X Shu, Y Ye - Social Science Research, 2023 - Elsevier
… Machine learning builds models and algorithms by learning and improving from data when
+the explicit model structure is unclear and algorithms with good performance are difficult to …
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[HTML] sciencedirect.com

[HTML][HTML] Ethical and bias considerations in artificial intelligence/machine learning

MG Hanna, L Pantanowitz, B Jackson, O Palmer… - Modern Pathology, 2025 - Elsevier
… Ethics and bias are important considerations in our practice settings, especially as an
+increased number of machine learning (ML) systems are being integrated within our various …
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+================================================================================ +machine learning - Google Scholar
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[PDF] arxiv.org

Position: Why we must rethink empirical research in machine learning

M Herrmann, FJD Lange, K Eggensperger… - arXiv preprint arXiv …, 2024 - arxiv.org
… machine learning by addressing practical challenges and epistemic constraints of empirical
+research that are often overlooked. We believe this has implications for machine learning …
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[HTML] sciencedirect.com

[HTML][HTML] Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework

F Li, T Yigitcanlar, M Nepal, K Nguyen, F Dur - Sustainable Cities and …, 2023 - Elsevier
… Numerous studies integrated machine learning and remote … joint applications of machine
+learning and remote sensing for … a framework integrating machine learning and remote sensing …
Save Cite Cited by 184 Related articles All 4 versions

A review of machine learning for modeling air quality: Overlooked but important issues

D Tang, Y Zhan, F Yang - Atmospheric Research, 2024 - Elsevier
… Machine learning models based on satellite remote sensing … important issues when using
+machine learning. In this review, … on applying machine learning for robust air quality mapping. …
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[HTML] sciencedirect.com

[HTML][HTML] Exploring the impact of ChatGPT on education: A web mining and machine learning approach

A Rejeb, K Rejeb, A Appolloni, H Treiblmaier… - … International Journal of …, 2024 - Elsevier
ChatGPT, an artificial intelligence model, has garnered significant interest within education.
+This study examined public sentiment regarding ChatGPT's influence on education by …
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[HTML] sciencedirect.com

[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized
+the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of …
Save Cite Cited by 1221 Related articles All 3 versions

Machine learning in agriculture: a review of crop management applications

I Attri, LK Awasthi, TP Sharma - Multimedia Tools and Applications, 2024 - Springer
… show how machine learning may improve agriculture. This article examines machine learning
+… This paper’s findings show that by using novel machine learning approaches, models may …
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[HTML] mdpi.com

[HTML][HTML] Machine learning methods in weather and climate applications: A survey

L Chen, B Han, X Wang, J Zhao, W Yang, Z Yang - Applied Sciences, 2023 - mdpi.com
… of emerging machine learning approaches. Finally, our focus is on machine learning methods,
+exploring their potential to mitigate the limitations intrinsic to their historical predecessors. …
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[PDF] nsf.gov

Advances in machine learning for wearable sensors

X Xiao, J Yin, J Xu, T Tat, J Chen - ACS nano, 2024 - ACS Publications
… To this end, supervised learning and unsupervised learning … latest advancements in machine
+learning for wearable sensors, … Additionally, we highlight the potential of machine-learning …
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[PDF] arxiv.org

Mlagentbench: Evaluating language agents on machine learning experimentation

Q Huang, J Vora, P Liang, J Leskovec - arXiv preprint arXiv:2310.03302, 2023 - arxiv.org
… machine learning experimentation autonomously? In this paper, we propose MLAgentBench,
+the first benchmark for evaluating agents capable of machine learning … machine learning …
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[PDF] vu.nl

Machine learning in marketing: Recent progress and future research directions

D Herhausen, SF Bernritter, EWT Ngai, A Kumar… - Journal of Business …, 2024 - Elsevier
… However, machine learning also introduces important challenges to the marketing … of
+machine learning in marketing. Specifically, we provide an overview of typical machine learning …
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+================================================================================ +machine learning - Google Scholar
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[PDF] springer.com

Autoencoders and their applications in machine learning: a survey

K Berahmand, F Daneshfar, ES Salehi, Y Li… - Artificial intelligence …, 2024 - Springer
Autoencoders have become a hot researched topic in unsupervised learning due to their
+ability to learn data features and act as a dimensionality reduction method. With rapid evolution …
Save Cite Cited by 413 Related articles All 5 versions
[PDF] ox.ac.uk

In-network machine learning using programmable network devices: A survey

C Zheng, X Hong, D Ding, S Vargaftik… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
… of machine learning solutions built upon programmable network devices. It explores the
+different types of machine learning … In-network machine learning can significantly benefit cloud …
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[PDF] acs.orgFull View

Opportunities and challenges for machine learning-assisted enzyme engineering

J Yang, FZ Li, FH Arnold - ACS Central Science, 2024 - ACS Publications
… Recently, machine learning (ML) has emerged as a powerful tool to complement this … fitness
+landscapes for fitness optimization by learning mappings between protein sequences and …
Save Cite Cited by 139 Related articles All 10 versions
[PDF] arxiv.org

Tiny machine learning: Progress and futures [feature]

J Lin, L Zhu, WM Chen, WC Wang… - IEEE Circuits and …, 2023 - ieeexplore.ieee.org
… machine learning (TinyML) is a new frontier of machine learning. By squeezing deep learning
+… tiny memory resource is difficult hold deep learning models designed for cloud and mobile …
Save Cite Cited by 141 Related articles All 4 versions
[PDF] jcpp.net

Artificial intelligence and machine learning in clinical medicine, 2023

CJ Haug, JM Drazen - New England Journal of Medicine, 2023 - Mass Medical Soc
… These improvements in storage and speed have allowed machine learning to progress
+from a dream to reality. Data in both panels are estimates from many types of system …
Save Cite Cited by 1040 Related articles All 7 versions

A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities

W Han, X Zhang, Y Wang, L Wang, X Huang… - ISPRS Journal of …, 2023 - Elsevier
… Mainstream machine learning (ML) and deep learning (DL) methods can extract high-level
+high-dimensional semantic information and thus supply an efficient tool for high-precision …
Save Cite Cited by 242 Related articles All 2 versions
[PDF] google.com

Machine learning-aided generative molecular design

Y Du, AR Jamasb, J Guo, T Fu, C Harris… - Nature Machine …, 2024 - nature.com
… However, designing machine learning models that can … art in molecular design using machine
+learning models as well as … in deploying generative machine learning and highlight future …
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[PDF] acs.orgFull View

Emerging trends in machine learning: a polymer perspective

TB Martin, DJ Audus - ACS Polymers Au, 2023 - ACS Publications
… In the last five years, there has been tremendous growth in machine learning and artificial
+… , outline important growth areas in machine learning and artificial intelligence for polymer …
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[HTML] mdpi.com

[HTML][HTML] Machine learning: Models, challenges, and research directions

T Talaei Khoei, N Kaabouch - Future Internet, 2023 - mdpi.com
… machine learning classification models that covers supervised, unsupervised, semi-supervised,
+and reinforcement learning … of the diverse landscape of machine learning models. In …
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[PDF] ieee.org

Machine learning in oil and gas exploration: A review

A Lawal, Y Yang, H He, NL Baisa - Ieee Access, 2024 - ieeexplore.ieee.org
… assessment of machine learning applications is conducted to … This paper offers a detailed
+overview of machine learning’s … widespread application of machine learning in the exploration, …
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+================================================================================ +machine learning - Google Scholar
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[PDF] nsf.gov

Machine learning and the five big ideas in AI

D Touretzky, C Gardner-McCune… - International journal of …, 2023 - Springer
… machine learning we put forward in this paper also align with research in the learning …
+education literature on how to effectively promote children’s learning of complex concepts. …
Save Cite Cited by 179 Related articles All 5 versions
[PDF] acm.org

Foundations & trends in multimodal machine learning: Principles, challenges, and open questions

PP Liang, A Zadeh, LP Morency - ACM Computing Surveys, 2024 - dl.acm.org
… machine learning has brought unique computational and theoretical challenges to the
+machine learning … and theoretical foundations of multimodal machine learning. We start by …
Save Cite Cited by 287 Related articles All 3 versions
[PDF] sabapub.com

Ensemble deep learning and machine learning: applications, opportunities, challenges, and future directions

N Rane, SP Choudhary, J Rane - Studies in Medical and Health …, 2024 - sabapub.com
… of studies on ensemble deep learning and machine learning. Relevant academic papers, …
+directions of ensemble learning within both deep learning and machine learning contexts. This …
Save Cite Cited by 102 Related articles All 2 versions View as HTML
[PDF] mdpi.com

What is machine learning, artificial neural networks and deep learning?—Examples of practical applications in medicine

J Kufel, K Bargieł-Łączek, S Kocot, M Koźlik… - Diagnostics, 2023 - mdpi.com
… decade, with machine learning (ML) and deep learning (DL) … mimicking cognitive functions,
+like learning and problem solving. … , discussing the machine learning methods that have been …
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[HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective

A Entezari, A Aslani, R Zahedi, Y Noorollahi - Energy Strategy Reviews, 2023 - Elsevier
… machine learning (ML) was born in the twentieth century to enable computers to simulate
+humans' learning … area where artificial intelligence and machine learning can be very beneficial…
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[HTML] mdpi.com

[HTML][HTML] A review of machine learning and deep learning approaches on mental health diagnosis

NK Iyortsuun, SH Kim, M Jhon, HJ Yang, S Pant - Healthcare, 2023 - mdpi.com
… battle these problems, machine learning approaches have been … With the growing interest
+in machine and deep learning … their use of machine learning and deep learning technologies, …
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[HTML][HTML] A brief survey of machine learning and deep learning techniques for e-commerce research

X Zhang, F Guo, T Chen, L Pan, G Beliakov… - Journal of Theoretical …, 2023 - mdpi.com
… of machine learning and deep learning techniques, due to … and application of machine
+learning and deep learning in e-… keywords such as ’machine learning’, ’deep learning’, and ’e-…
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[PDF] springer.com

Advances of machine learning in materials science: Ideas and techniques

SS Chong, YS Ng, HQ Wang, JC Zheng - Frontiers of Physics, 2024 - Springer
… In this big data era, the use of large dataset in conjunction with machine learning (ML) has
+been … With the advent of machine learning-based techniques, there has been a paradigm shift: …
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Machine learning: Review and trends

MOK Mendonça, SL Netto, PSR Diniz… - … and machine learning …, 2024 - Elsevier
Abstract Machine learning (ML) entails a set of tools and structures to acquire information
+from data. This chapter explains a wide range of tools to learn from data originating from …
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[PDF] arxiv.org

Causal machine learning for predicting treatment outcomes

S Feuerriegel, D Frauen, V Melnychuk, J Schweisthal… - Nature Medicine, 2024 - nature.com
Causal machine learning (ML) offers flexible, data-driven methods for predicting treatment
+outcomes including efficacy and toxicity, thereby supporting the assessment and safety of …
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+================================================================================ +machine learning - Google Scholar
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[PDF] frontiersin.org

Cardiovascular diseases prediction by machine learning incorporation with deep learning

S Subramani, N Varshney, MV Anand… - Frontiers in …, 2023 - frontiersin.org
… receive, machine learning (ML) is used. Traditional machine learning algorithms are unable
+… This research presents a collection of machine learning models that can be used to address …
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[PDF] arxiv.org

Machine learning for synthetic data generation: a review

Y Lu, M Shen, H Wang, X Wang, C van Rechem… - arXiv preprint arXiv …, 2023 - arxiv.org
… to under-fitting of machine learning models, and difficulties in … existing studies that employ
+machine learning models for the … Additionally, it explores different machine learning methods, …
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[PDF] cambridge.org

Machine learning political orders

L Amoore - Review of International Studies, 2023 - cambridge.org
… as a machine learning problem? In this article I map the contours of machine learning logics
+as … This is not equivalent to the claims that the technologies of deep learning algorithms are …
Save Cite Cited by 115 Related articles All 4 versions
[PDF] arxiv.org

Mle-bench: Evaluating machine learning agents on machine learning engineering

JS Chan, N Chowdhury, O Jaffe, J Aung… - arXiv preprint arXiv …, 2024 - arxiv.org
… We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine
+learning engineering. To this end, we curate 75 ML engineeringrelated competitions from …
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[PDF] annualreviews.org

Machine learning in earthquake seismology

SM Mousavi, GC Beroza - Annual Review of Earth and …, 2023 - annualreviews.org
Machine learning (ML) is a collection of methods used to develop understanding and predictive
+capability by learning relationships embedded in data. ML methods are becoming the …
Save Cite Cited by 227 Related articles All 4 versions
[PDF] ssrn.com

Machine learning process evaluating damage classification of composites

M Amini, A Rahmani - International Journal of Science and …, 2023 - papers.ssrn.com
… traditional machine learning algorithms such as K-nearest neighbors, support vector machine…
+measurements in composite materials with machine learning tools, this work contributes to …
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[HTML][HTML] Artificial intelligence, machine learning, and deep learning in liver transplantation

M Bhat, M Rabindranath, BS Chara, DA Simonetto - Journal of hepatology, 2023 - Elsevier
… Machine learning and deep learning could be applied in both the pre- and post-LT settings.
+Some examples of AI applications pre-transplant include optimising transplant candidacy …
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[PDF] lww.com

Machine learning applications in stroke medicine: advancements, challenges, and future prospectives

M Daidone, S Ferrantelli… - Neural regeneration …, 2024 - journals.lww.com
… Machine learning promises to revolutionize stroke medicine … realizing the full potential of
+machine learning in stroke care, … current implications of machine learning in stroke diagnosis, …
Save Cite Cited by 98 Related articles All 9 versions
[PDF] vu.lt

Findings on teaching machine learning in high school: A ten-year systematic literature review

RM Martins, C Gresse Von Wangenheim - Informatics in Education, 2023 - ceeol.com
… Machine Learning (ML) is becoming increasingly present in our lives. Thus, it is important
+to … in engaging students and demonstrated positive learning effects. Visual as well as text-…
Save Cite Cited by 321 Related articles All 10 versions
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[HTML][HTML] Systematic literature review: Quantum machine learning and its applications

D Peral-García, J Cruz-Benito… - Computer Science …, 2024 - Elsevier
… that used quantum machine learning techniques and … machine learning algorithms, such
+as support vector machines or the k-nearest neighbor model, and classical deep learning …
Save Cite Cited by 279 Related articles All 8 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] springer.com

Coronavirus disease (COVID-19) cases analysis using machine-learning applications

AS Kwekha-Rashid, HN Abduljabbar, B Alhayani - Applied nanoscience, 2023 - Springer
… machine learning can produce an important role in COVID-19 investigations, prediction, and
+discrimination. In conclusion, machine learning … Supervised learning showed better results …
Save Cite Cited by 353 Related articles All 11 versions

Open-world machine learning: A review and new outlooks

F Zhu, S Ma, Z Cheng, XY Zhang, Z Zhang… - arXiv e …, 2024 - ui.adsabs.harvard.edu
… machine learning by investigating unknown rejection, novel class discovery, and class-incremental
+learning … the emerging open-world machine learning paradigm, to help researchers …
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[HTML][HTML] Machine learning for chemistry: basics and applications

YF Shi, ZX Yang, S Ma, PL Kang, C Shang, P Hu… - Engineering, 2023 - Elsevier
The past decade has seen a sharp increase in machine learning (ML) applications in
+scientific research. This review introduces the basic constituents of ML, including databases, …
Save Cite Cited by 67 Related articles All 4 versions
[PDF] researchgate.net

Machine learning in metaverse security: Current solutions and future challenges

Y Otoum, N Gottimukkala, N Kumar, A Nayak - ACM Computing Surveys, 2024 - dl.acm.org
… This article undertakes a comprehensive study of the security and privacy challenges facing
+the Metaverse, leveraging machine learning models for this purpose. In particular, our focus …
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[HTML] mdpi.com

[HTML][HTML] An overview of machine learning, deep learning, and reinforcement learning-based techniques in quantitative finance: recent progress and challenges

SK Sahu, A Mokhade, ND Bokde - Applied Sciences, 2023 - mdpi.com
… machine learning (ML), deep learning (DL), reinforcement learning (RL), and deep reinforcement
+learning (… Machine learning algorithms can now extract high-level financial market data …
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[PDF] wiley.com

On some limitations of current machine learning weather prediction models

M Bonavita - Geophysical Research Letters, 2024 - Wiley Online Library
Abstract Machine Learning (ML) is having a profound impact in the domain of Weather and
+Climate Prediction. A recent development in this area has been the emergence of fully data‐…
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An interactive teaching evaluation system for preschool education in universities based on machine learning algorithm

D Li - Computers in human behavior, 2024 - Elsevier
… machine learning algorithm. The experimental results show that the classification model
+realized by the machine learning … algorithms as the meta-learning algorithm in the framework, …
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[PDF] springer.com

Machine learning for intelligent data analysis and automation in cybersecurity: current and future prospects

IH Sarker - Annals of Data Science, 2023 - Springer
… Therefore, it’s crucial to understand the fundamentals of various machine learning …
+importance of machine learning, we provide a comprehensive view of machine learning algorithms …
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[PDF] merl.com

Sensing and machine learning for automotive perception: A review

A Pandharipande, CH Cheng, J Dauwels… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
… processing algorithms and the role of machine learning techniques, methodologies for validating
+… The technical challenges for each aspect are analyzed, emphasizing machine learning …
Save Cite Cited by 136 Related articles All 11 versions
[PDF] ieee.org

Predicting agriculture yields based on machine learning using regression and deep learning

P Sharma, P Dadheech, N Aneja, S Aneja - IEEE Access, 2023 - ieeexplore.ieee.org
… In order to forecast India’s crop yield, this study uses various machine learning and deep
+learning approaches. The study underlines the advantages of cutting-edge procedures. It is …
Save Cite Cited by 110 Related articles All 4 versions
+================================================================================ +machine learning - Google Scholar
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Page 12 of about 644,000 results (0.10 sec)

Machine Learning and Genetic Algorithms: A case study on image reconstruction

C Cavallaro, V Cutello, M Pavone, F Zito - Knowledge-Based Systems, 2024 - Elsevier
… of machine learning techniques to optimization problems and propose a novel integration
+between metaheuristics and machine learning … algorithm that uses machine learning to quickly …
Save Cite Cited by 52 Related articles All 2 versions
[PDF] frontiersin.org

Accurately identifying hemagglutinin using sequence information and machine learning methods

X Zou, L Ren, P Cai, Y Zhang, H Ding, K Deng… - Frontiers in …, 2023 - frontiersin.org
… By perform feature optimization and inputting them four kinds of machine learning
+methods, we constructed an integrated classifier model using the stacking algorithm. …
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[HTML] mdpi.com

[HTML][HTML] A brief review of machine learning algorithms in forest fires science

R Alkhatib, W Sahwan, A Alkhatieb, B Schütt - Applied Sciences, 2023 - mdpi.com
… lot of interest in machine learning techniques. The machine learning methods that are used
+… research gaps and recent studies that use machine learning techniques to study forest fires. …
Save Cite Cited by 115 Related articles All 8 versions Cached
[PDF] ieee.org

Machine learning solutions for the security of wireless sensor networks: A review

YY Ghadi, T Mazhar, T Al Shloul, T Shahzad… - Ieee …, 2024 - ieeexplore.ieee.org
… different machine learning … Machine learning algorithms that are used to secure wireless
+sensor networks. Moreover, this study also addresses issues of adapting machine learning …
Save Cite Cited by 74 Related articles All 3 versions
[HTML] mdpi.com

[HTML][HTML] Machine learning and prediction of infectious diseases: a systematic review

OE Santangelo, V Gentile, S Pizzo, D Giordano… - Machine Learning and …, 2023 - mdpi.com
… the art in the use of machine learning for the prediction of infectious diseases. We will
+focus on recent, high-quality studies that have applied machine-learning techniques to real-world …
Save Cite Cited by 124 Related articles All 6 versions Cached

The role of machine learning in tribology: A systematic review

UMR Paturi, ST Palakurthy, NS Reddy - Archives of Computational …, 2023 - Springer
… Unlike other statistical tools, machine learning does not … While AI-based machine learning
+approaches have been … of the role of machine learning in tribological research and pave the …
Save Cite Cited by 102 Related articles All 3 versions

Feature selection techniques for machine learning: a survey of more than two decades of research

D Theng, KK Bhoyar - Knowledge and Information Systems, 2024 - Springer
… the performance, reliability, and interpretability of a machine learning model. Feature selection
+is a widely used technique in machine learning and data mining and has a wide range of …
Save Cite Cited by 330 Related articles All 4 versions

Application of Machine Learning and Deep Learning in Finite Element Analysis: A Comprehensive Review.

D Nath, DR Neog, SS Gautam - Archives of computational …, 2024 - search.ebscohost.com
… Machine learning (ML) has evolved as a technology used in even broader domains, ranging
+… Machine learning MLMM Machine learning material model NURBS Non-uniform rational B-…
Save Cite Cited by 83 Related articles
[PDF] wiley.com

Recent progresses in machine learning assisted Raman spectroscopy

Y Qi, D Hu, Y Jiang, Z Wu, M Zheng… - Advanced Optical …, 2023 - Wiley Online Library
… Generally speaking, machine learning applied to chemical data such as Raman spectra …
+or employed predating machine learning). We note that machine learning is a method of …
Save Cite Cited by 181 Related articles All 8 versions

Machine learning for functional protein design

P Notin, N Rollins, Y Gal, C Sander, D Marks - Nature biotechnology, 2024 - nature.com
… To make sense of the exploding diversity of machine learning approaches, we introduce a
+unifying framework that classifies models on the basis of their use of three core data modalities…
Save Cite Cited by 207 Related articles All 4 versions
+================================================================================ +machine learning - Google Scholar
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[HTML] mdpi.com

[HTML][HTML] Quantum machine learning: A review and case studies

A Zeguendry, Z Jarir, M Quafafou - Entropy, 2023 - mdpi.com
… review of Quantum Machine Learning from the … Machine Learning algorithms from a computer
+scientist’s perspective, we discuss a set of basic algorithms for Quantum Machine Learning…
Save Cite Cited by 204 Related articles All 15 versions Cached

The impact of data normalization on the accuracy of machine learning algorithms: A comparative analysis

K Cabello-Solorzano, I Ortigosa de Araujo… - … conference on soft …, 2023 - Springer
… as an important aspect in machine learning. The results of this … strategy for machine learning
+in classification problems. … their applicability and benefits in machine learning. In Sect. 3 we …
Save Cite Cited by 204 Related articles All 4 versions
[PDF] arxiv.org

Differentiable modelling to unify machine learning and physical models for geosciences

C Shen, AP Appling, P Gentine, T Bandai… - Nature Reviews Earth & …, 2023 - nature.com
… -based modelling and machine learning in the … machine learning. It offers better interpretability,
+generalizability, and extrapolation capabilities than purely data-driven machine learning, …
Save Cite Cited by 294 Related articles All 23 versions
[PDF] neurips.cc

Towards foundation models for scientific machine learning: Characterizing scaling and transfer behavior

S Subramanian, P Harrington… - Advances in …, 2023 - proceedings.neurips.cc
… Pre-trained machine learning (ML) models have shown great performance for a wide range
+… machine learning (SciML) applications, specifically in the context of transfer learning. We …
Save Cite Cited by 130 Related articles All 6 versions View as HTML
[PDF] springer.com

Fairness issues, current approaches, and challenges in machine learning models

TD Jui, P Rivas - International Journal of Machine Learning and …, 2024 - Springer
… With the increasing influence of machine learning algorithms in decision-making processes,
+… , we propose a taxonomy of machine learning fairness issues and map the diverse range of …
Save Cite Cited by 63 Related articles All 4 versions
[PDF] sciencedirect.com

Early detection of Parkinson's disease using machine learning

A Govindu, S Palwe - Procedia Computer Science, 2023 - Elsevier
… use of machine learning … Machine (SVM), Random Forest, K-Nearest Neighbors (KNN)
+and Logistic Regression models, yield Random Forest classifier as the ideal Machine Learning (…
Save Cite Cited by 214 Related articles All 2 versions
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[HTML][HTML] From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare

C Chakraborty, M Bhattacharya, S Pal… - Current Research in …, 2024 - Elsevier
… -driven, robust, and efficient machine learning (ML) to deep learning (DL) technologies. ML
+… This article reviews some critical data-driven aspects of machine intelligence in the medical …
Save Cite Cited by 194 Related articles

Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics

K Hippalgaonkar, Q Li, X Wang, JW Fisher III… - Nature Reviews …, 2023 - nature.com
As materials researchers increasingly embrace machine-learning (ML) methods, it is natural
+to wonder what lessons can be learned from other fields undergoing similar developments. …
Save Cite Cited by 126 Related articles All 6 versions
[PDF] neurips.cc

The well: a large-scale collection of diverse physics simulations for machine learning

R Ohana, M McCabe, L Meyer… - Advances in …, 2024 - proceedings.neurips.cc
… modern machine learning, but rather that they reflect reasonable compute budgets and off-the-shelf
+choices that might be selected by a domain scientist exploring machine learning for …
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[PDF] acm.orgFull View

The role of machine learning in cybersecurity

G Apruzzese, P Laskov, E Montes de Oca… - … Threats: Research and …, 2023 - dl.acm.org
Machine Learning (ML) represents a pivotal technology for current and future information
+systems, and many domains already leverage the capabilities of ML. However, deployment of …
Save Cite Cited by 277 Related articles All 8 versions
+================================================================================ +machine learning - Google Scholar
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Page 14 of about 644,000 results (0.11 sec)

Machine learning optimization techniques: a survey, classification, challenges, and future research issues

K Bian, R Priyadarshi - Archives of Computational Methods in Engineering, 2024 - Springer
Optimization approaches in machine learning (ML) are essential for training models to
+obtain high performance across numerous domains. The article provides a comprehensive …
Save Cite Cited by 96 Related articles All 2 versions
[PDF] researchgate.net

[PDF][PDF] Navigating the future: integrating AI and machine learning in hr practices for a digital workforce

CG Okatta, FA Ajayi, O Olawale - Computer science & IT research …, 2024 - researchgate.net
… with integrating AI and Machine Learning in HR practices for a … successfully leverage AI and
+Machine Learning to enhance HR … Intelligence (AI) and Machine Learning (ML) to streamline …
Save Cite Cited by 132 Related articles View as HTML

Recent advances and application of machine learning in food flavor prediction and regulation

H Ji, D Pu, W Yan, Q Zhang, M Zuo, Y Zhang - Trends in Food Science & …, 2023 - Elsevier
… Computational methods, such as machine learning (ML) techniques, can accurately and
+efficiently predict and regulate complex flavors and attract continuous attention. …
Save Cite Cited by 138 Related articles All 2 versions
[PDF] springer.com

When physics meets machine learning: A survey of physics-informed machine learning

C Meng, S Griesemer, D Cao, S Seo, Y Liu - Machine Learning for …, 2025 - Springer
… In this section, we introduce recent developments in leveraging machine learning for
+several physics-related tasks, including surrogate simulation, data-driven PDE solvers, …
Save Cite Cited by 164 Related articles All 3 versions
[PDF] arxiv.org

Open-world machine learning: applications, challenges, and opportunities

J Parmar, S Chouhan, V Raychoudhury… - ACM Computing …, 2023 - dl.acm.org
… machine learning and training and testing data are similar to traditional machine learning,
+except traditional machine learning … tradition and continuous machine learning based on task, …
Save Cite Cited by 167 Related articles All 4 versions

From pinns to pikans: Recent advances in physics-informed machine learning

JD Toscano, V Oommen, AJ Varghese, Z Zou… - Machine Learning for …, 2025 - Springer
… In Section 2 we outline the general framework of Physics-Informed Machine Learning. Section
+3 provides a comprehensive summary of the major techniques aimed at improving PINNs. …
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[HTML][HTML] A comprehensive review of the applications of machine learning for HVAC

SL Zhou, AA Shah, PK Leung, X Zhu, Q Liao - DeCarbon, 2023 - Elsevier
… machine learning can gain widespread adoption in industry. This review summarizes the
+recent literature on machine learning … A brief overview of machine learning and its applications …
Save Cite Cited by 78 Related articles
[PDF] acs.org

Machine learning-guided protein engineering

P Kouba, P Kohout, F Haddadi, A Bushuiev… - ACS …, 2023 - ACS Publications
… predictions to all predictions produced by a machine learning model active learning a type
+of machine learning in which the learning algorithm queries a person for providing labels for …
Save Cite Cited by 136 Related articles All 11 versions
[PDF] academia.edu

A systematic review of machine learning methods in software testing

S Ajorloo, A Jamarani, M Kashfi, MH Kashani… - Applied Soft …, 2024 - Elsevier
… By addressing these aspects, this study contributes to advancing the discourse on machine
+learning's role in software testing and paves the way for substantial improvements in testing …
Save Cite Cited by 31 Related articles All 3 versions
[PDF] cell.comFull View

From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment

K Swanson, E Wu, A Zhang, AA Alizadeh, J Zou - Cell, 2023 - cell.com
… In the past decade, machine learning (ML) has seen an explosion of applications in … and
+the structure of a dataset (see machine learning primer section for a brief introduction to ML). In …
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+================================================================================ +machine learning - Google Scholar
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[HTML] sciencedirect.com

[HTML][HTML] Soil science-informed machine learning

B Minasny, T Bandai, TA Ghezzehei, YC Huang, Y Ma… - Geoderma, 2024 - Elsevier
Abstract Machine learning (ML) applications in soil science have significantly increased over
+the past two decades, reflecting a growing trend towards data-driven research addressing …
Save Cite Cited by 41 Related articles All 5 versions
[PDF] arxiv.org

The transformative potential of machine learning for experiments in fluid mechanics

R Vinuesa, SL Brunton, BJ McKeon - Nature Reviews Physics, 2023 - nature.com
… In this Perspective article, we describe some frontiers impacted or opened by machine
+learning (ML) applied to experimentation in fluid mechanics, a discipline at the core of many …
Save Cite Cited by 109 Related articles All 6 versions
[PDF] springer.com

The benefits and pitfalls of machine learning for biomarker discovery

S Ng, S Masarone, D Watson, MR Barnes - Cell and tissue research, 2023 - Springer
… Machine learning and AI methods are good at finding … of the basic concepts of machine
+learning and AI for biomarker … the accessibility of tools for AI and machine learning. We use this to …
Save Cite Cited by 118 Related articles All 10 versions

[BOOK][B] Machine learning: concepts, techniques and applications

TV Geetha, S Sendhilkumar - 2023 - taylorfrancis.com
… level of explaining machine learning and goes on to explain the basis of machine learning
+… with their associations to machine learning. The book then goes on to describe important …
Save Cite Cited by 39 Related articles All 3 versions Library Search View as HTML
[PDF] sciencedirect.com

Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability

LV Herm, K Heinrich, J Wanner, C Janiesch - International Journal of …, 2023 - Elsevier
… Machine learning algorithms enable advanced decision … Machine learning models with
+higher performance are often … for five common classes of machine learning algorithms. Second, …
Save Cite Cited by 159 Related articles All 6 versions

Predicting E-commerce customer satisfaction: Traditional machine learning vs. deep learning approaches

M Zaghloul, S Barakat, A Rezk - Journal of Retailing and Consumer …, 2024 - Elsevier
… through a comparative machine learning modeling approach to … machine learning models
+including random forest and support vector machines are benchmarked against deep learning …
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[HTML] mdpi.com

[HTML][HTML] Bias in machine learning: A literature review

K Mavrogiorgos, A Kiourtis, A Mavrogiorgou… - Applied Sciences, 2024 - mdpi.com
… (eg, reporting bias), the phrase “machine learning”, since this manuscript is focused on
+ML … of the search terms “regularization”, “machine learning” and the names of widely used …
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[PDF] sciencedirect.com

Application of machine learning in groundwater quality modeling-A comprehensive review

R Haggerty, J Sun, H Yu, Y Li - Water Research, 2023 - Elsevier
… In the last two decades, the application of machine learning (… techniques such as deep
+learning or unsupervised algorithms. … implementation of deep learning and explainable artificial …
Save Cite Cited by 238 Related articles All 8 versions
[PDF] springer.com

Applications and techniques of machine learning in cancer classification: a systematic review

A Yaqoob, R Musheer Aziz, NK Verma - Human-Centric Intelligent …, 2023 - Springer
… to comprehend the different categories of machine acquiring knowledge systems along with
+… of machine learning, including cancer classification, and how machine learning algorithms …
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[HTML] mdpi.com

[HTML][HTML] Comparative analysis for slope stability by using machine learning methods

YA Nanehkaran, Z Licai, J Chengyong, J Chen… - Applied Sciences, 2023 - mdpi.com
… according to the machine learning rate and specific accuracy. Machine learning algorithms
+attempt … Optimization is also closely related to machine learning: many learning problems are …
Save Cite Cited by 109 Related articles All 8 versions Cached
+================================================================================ +machine learning - Google Scholar
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[PDF] nih.gov

Can we predict T cell specificity with digital biology and machine learning?

D Hudson, RA Fernandes, M Basham, G Ogg… - Nature Reviews …, 2023 - nature.com
… Recent advances in machine learning and experimental biology have offered breakthrough
+… such as single-cell technology and machine learning may provide possible solutions. Finally…
Save Cite Cited by 184 Related articles All 6 versions

Revolutionizing healthcare: the role of machine learning in the health sector

M Sarker - Journal of Artificial Intelligence General science (JAIGS …, 2024 - ideas.repec.org
… However, the emergence of machine learning (ML) has ushered in a transformative
+paradigm shift towards value-based treatment, empowering healthcare providers to deliver …
Save Cite Cited by 71 Related articles Cached
[PDF] springer.com

A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future

RJ Woodman, AA Mangoni - Aging Clinical and Experimental Research, 2023 - Springer
… artificial intelligence and machine learning algorithms provides … This review provides a broad
+taxonomy of machine learning … latter via the development of explainable machine learning. …
Save Cite Cited by 114 Related articles All 9 versions

IoT convergence with machine learning & blockchain: A review

E Fazel, MZ Nezhad, J Rezazadeh, M Moradi… - Internet of Things, 2024 - Elsevier
… machine learning skills, blockchain-enabled secure transactions, and smart contracts. For
+instance, this convergence system, which relies on machine learning … and machine learning …
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[HTML] mdpi.com

[HTML][HTML] Application of machine learning in material synthesis and property prediction

G Huang, Y Guo, Y Chen, Z Nie - Materials, 2023 - mdpi.com
… machine learning are briefly outlined. Several commonly used algorithms in machine learning
+… The research progress of machine learning in predicting material properties and guiding …
Save Cite Cited by 90 Related articles All 9 versions Cached
[PDF] iop.orgFull View

Rediscovering orbital mechanics with machine learning

P Lemos, N Jeffrey, M Cranmer, S Ho… - Machine Learning …, 2023 - iopscience.iop.org
… We present an approach for using machine learning to automatically discover the governing
+equations and unknown properties (in this case, masses) of real physical systems from …
Save Cite Cited by 141 Related articles All 11 versions
[PDF] sagepub.com

Machine learning and the politics of synthetic data

BN Jacobsen - Big Data & Society, 2023 - journals.sagepub.com
… As the impact of synthetic data used for machine learning … to underpin a process of machine
+learning where the algorithm … the resilience logic of machine learning. Synthetic variability, in …
Save Cite Cited by 85 Related articles All 8 versions

Machine learning in nanozymes: from design to application

Y Gao, Z Zhu, Z Chen, M Guo, Y Zhang, L Wang… - Biomaterials …, 2024 - pubs.rsc.org
… The advent of artificial intelligence (AI), particularly machine learning (ML), has ushered
+in innovative design approaches for researchers in this domain. This review delves into the …
Save Cite Cited by 25 Related articles All 3 versions

Machine learning applications in nanomaterials: Recent advances and future perspectives

L Yang, H Wang, D Leng, S Fang, Y Yang… - Chemical Engineering …, 2024 - Elsevier
… With the rapid development of machine learning (ML) technology, its role in the application
+of nanomaterials is becoming increasingly prominent. Nanomaterials, assisted by various ML …
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[HTML] sciencedirect.com

[HTML][HTML] Interpretable machine learning for building energy management: A state-of-the-art review

Z Chen, F Xiao, F Guo, J Yan - Advances in Applied Energy, 2023 - Elsevier
… trust machine learning models because of their black-box nature. To this end, the interpretability
+of machine learning … that adopted interpretable machine learning techniques for building …
Save Cite Cited by 268 Related articles All 4 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] researchworkx.com

Automating Cybersecurity with Machine Learning and Predictive Analytics

GK Karamchand - Journal of Computational Innovation, 2023 - researchworkx.com
… This paper explores the transformative role of machine learning (ML) and predictive
+analytics in automating cybersecurity. By leveraging ML algorithms to identify patterns and …
Save Cite Cited by 117 Related articles View as HTML
[PDF] sciencedirect.com

A review of machine learning applications in life cycle assessment studies

XX Romeiko, X Zhang, Y Pang, F Gao, M Xu… - Science of The Total …, 2024 - Elsevier
… Increasing data availability and rapid development of machine learning (ML) approaches
+offer … Third, incorporating deep learning models into LCA holds promise to further improve life …
Save Cite Cited by 66 Related articles All 8 versions
[HTML] sciencedirect.com

[HTML][HTML] Machine learning for anomaly detection in particle physics

V Belis, P Odagiu, TK Aarrestad - Reviews in Physics, 2024 - Elsevier
… Recent advances in Machine Learning for anomaly detection have encouraged the … anomaly
+detection in particle physics using machine learning. We discuss the challenges associated …
Save Cite Cited by 76 Related articles All 5 versions

Accelerating the prediction of stable materials with machine learning

SD Griesemer, Y Xia, C Wolverton - Nature Computational Science, 2023 - nature.com
… When physics-based computational methods and labor-intensive experiments are not
+feasible, machine learning (ML) methods can be a rapid and powerful alternative. Owing to a …
Save Cite Cited by 67 Related articles All 6 versions
[HTML] mdpi.com

[HTML][HTML] Precision machine learning

EJ Michaud, Z Liu, M Tegmark - Entropy, 2023 - mdpi.com
We explore unique considerations involved in fitting machine learning (ML) models to data
+with very high precision, as is often required for science applications. We empirically …
Save Cite Cited by 60 Related articles All 8 versions Cached

Leaf disease detection using machine learning and deep learning: Review and challenges

C Sarkar, D Gupta, U Gupta, BB Hazarika - Applied Soft Computing, 2023 - Elsevier
… Machine learning (ML) and deep learning (DL) models are used to classify different types
+of leaf diseases. We made a workflow mechanism to help researchers in this field. Support …
Save Cite Cited by 199 Related articles All 2 versions
[PDF] researchcommons.org

The significance of machine learning and deep learning techniques in cybersecurity: A comprehensive review

MM Mijwil, IE Salem… - Iraqi Journal For …, 2023 - ijcsm.researchcommons.org
… role of machine learning and deep learning techniques in … that have used machine learning
+and deep learning techniques in the … of machine learning and deep learning techniques in …
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[HTML][HTML] Review of machine learning in robotic grasping control in space application

H Jahanshahi, ZH Zhu - Acta Astronautica, 2024 - Elsevier
This article presents a comprehensive survey of the integration of machine learning techniques
+into robotic grasping, with a special emphasis on the challenges and advancements for …
Save Cite Cited by 71 Related articles All 3 versions
[HTML] mdpi.com

[HTML][HTML] Machine learning-based predictive models for detection of cardiovascular diseases

A Ogunpola, F Saeed, S Basurra, AM Albarrak… - Diagnostics, 2024 - mdpi.com
… machine learning (ML) techniques in the context of heart disease analysis. Then, we investigated
+and applied seven machine learning-… , Support Vector Machine, Logistic Regression, …
Save Cite Cited by 164 Related articles All 10 versions Cached
[PDF] wiley.com

Progress and opportunities for machine learning in materials and processes of additive manufacturing

WL Ng, GL Goh, GD Goh, JSJ Ten… - Advanced …, 2024 - Wiley Online Library
In recent years, there has been widespread adoption of machine learning (ML)
+technologies to unravel intricate relationships among diverse parameters in various additive …
Save Cite Cited by 160 Related articles All 8 versions
+================================================================================ +machine learning - Google Scholar
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Page 18 of about 644,000 results (0.09 sec)

[BOOK][B] Applications of artificial neural networks and machine learning in civil engineering

A Kaveh - 2024 - Springer
… , including supervised learning, unsupervised learning, and reinforcement learning. Algorithms
+used in machine learning are among these three categories. Machine learning is a field …
Save Cite Cited by 262 Related articles All 3 versions Library Search
[PDF] acs.org

Characterizing uncertainty in machine learning for chemistry

E Heid, CJ McGill, FH Vermeire… - Journal of Chemical …, 2023 - ACS Publications
… To showcase the influence of noise on a machine learning model, we use the noise-free
+data set of artifical, additive enthalpies to train a d-MPNN model. The respective model …
Save Cite Cited by 67 Related articles All 11 versions
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[HTML][HTML] Machine learning and artificial intelligence in neuroscience: A primer for researchers

F Badrulhisham, E Pogatzki-Zahn, D Segelcke… - Brain, Behavior, and …, 2024 - Elsevier
Artificial intelligence (AI) is often used to describe the automation of complex tasks that we
+would attribute intelligence to. Machine learning (ML) is commonly understood as a set of …
Save Cite Cited by 74 Related articles All 7 versions
[PDF] arxiv.org

A practical guide to machine learning interatomic potentials–Status and future

R Jacobs, D Morgan, S Attarian, J Meng, C Shen… - Current Opinion in Solid …, 2025 - Elsevier
The rapid development and large body of literature on machine learning interatomic potentials
+(MLIPs) can make it difficult to know how to proceed for researchers who are not experts …
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[HTML][HTML] Battery safety: Machine learning-based prognostics

J Zhao, X Feng, Q Pang, M Fowler, Y Lian… - Progress in Energy and …, 2024 - Elsevier
… essential for data-driven, machine learning models. We offer an exhaustive … of machine
+learning approaches. Our discussion encompasses: (1) supervised and reinforcement learning …
Save Cite Cited by 135 Related articles All 3 versions
[PDF] bonviewpress.com

Machine learning methodology for identifying vehicles using image processing

M Hasanvand, M Nooshyar… - Artificial Intelligence …, 2023 - ojs.bonviewpress.com
… The training dataset is then used to train machine learning models. The accuracy of the …
+size of vehicles; (B) our paper used machine learning as a classifier that can be used for the high …
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From prediction to design: recent advances in machine learning for the study of 2D materials

H He, Y Wang, Y Qi, Z Xu, Y Li, Y Wang - Nano Energy, 2023 - Elsevier
… This review comprehensively surveys the multifaceted applications of machine learning (ML)
+in the study of 2D materials, filling this research gap. We summarize the latest …
Save Cite Cited by 76 Related articles All 2 versions
[PDF] wiley.comFull View

Weakly supervised machine learning

Z Ren, S Wang, Y Zhang - CAAI Transactions on Intelligence …, 2023 - Wiley Online Library
… , and we call it machine learning when the agent is a computer [1]. In the last decades, machine
+learning had … Typically, machine learning can be categorised into four types: supervised …
Save Cite Cited by 146 Related articles All 5 versions
[PDF] academia.edu

[PDF][PDF] A tutorial on principal component analysis for dimensionality reduction in machine learning

JP Bharadiya - International journal of innovative science and …, 2023 - academia.edu
… machine learning algorithms that can be used for anomaly detection. The technical challenges
+in NIDSs based on machine learning … the Support Vector Machine algorithm with the …
Save Cite Cited by 141 Related articles View as HTML
[PDF] wiley.comFull View

Machine learning and deep learning—A review for ecologists

M Pichler, F Hartig - Methods in Ecology and Evolution, 2023 - Wiley Online Library
… solutions for classical statistical methods but also the development of alternative modelling
+approaches for data analysis and predictions that we collectively refer to as “machine learning…
Save Cite Cited by 334 Related articles All 8 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] hal.science

Machine learning for micro-and nanorobots

L Yang, J Jiang, F Ji, Y Li, KL Yung, A Ferreira… - Nature Machine …, 2024 - nature.com
Abstract Machine learning (ML) has revolutionized robotics by enhancing perception, adaptability,
+decision-making and more, enabling robots to work in complex scenarios beyond the …
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[PDF] researchgate.net

[PDF][PDF] Integrating AI and Machine Learning in STEM education: Challenges and opportunities

OB Joseph, NC Uzondu - Computer Science & IT Research …, 2024 - researchgate.net
… Intelligence (AI) and Machine Learning (ML) in STEM … outcomes, personalize learning
+experiences and address critical … contribute to personalized learning, adaptive teaching strategies, …
Save Cite Cited by 53 Related articles View as HTML
[PDF] arxiv.org

A dependable hybrid machine learning model for network intrusion detection

MA Talukder, KF Hasan, MM Islam, MA Uddin… - Journal of Information …, 2023 - Elsevier
… a new hybrid model that combines machine learning and deep learning to increase detection
+rates … We compared our developed method to various machine learning and deep learning …
Save Cite Cited by 250 Related articles All 15 versions
[PDF] academia.edu

[PDF][PDF] AI and Machine Learning in Cybersecurity: Strategies, Threats, and Exploits

A Mohammed - Innovative Computer Sciences Journal, 2023 - academia.edu
… harnesses the power of machine learning to forecast potential … Machine learning models
+can process large datasets to … , leveraging AI and machine learning to enhance the speed and …
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[PDF] wiley.com

Using machine learning to individualize treatment effect estimation: challenges and opportunities

A Curth, RW Peck, E McKinney… - Clinical …, 2024 - Wiley Online Library
… We argue that novel machine learning (ML) methods can be used to overcome these
+major limitations, creating a real-world evidence base that can augment and complement the …
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[HTML] mdpi.com

[HTML][HTML] Applications of artificial intelligence, machine learning, and deep learning in nutrition: A systematic review

TP Theodore Armand, KA Nfor, JI Kim, HC Kim - Nutrients, 2024 - mdpi.com
… A systematic literature review was conducted in this study regarding the applications of AI,
+machine learning, and deep learning techniques applied in nutrition sciences. A hybrid …
Save Cite Cited by 78 Related articles All 4 versions Cached
[HTML] wiley.com

Catalysis in the digital age: Unlocking the power of data with machine learning

BM Abraham, MV Jyothirmai, P Sinha… - Wiley …, 2024 - Wiley Online Library
… The present review article provides a practical guidance on using machine learning (ML)
+techniques for catalyst development, including data acquisition, feature engineering, model …
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[PDF] sciencedirect.com

Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges

Y Xu, S Kohtz, J Boakye, P Gardoni, P Wang - Reliability Engineering & …, 2023 - Elsevier
… modeling with machine learning approaches, referred to as physics-informed machine learning
+(… -of-the-art of physics-informed machine learning methods in reliability and system safety …
Save Cite Cited by 301 Related articles All 6 versions

Crop yield prediction using machine learning techniques

S Iniyan, VA Varma, CT Naidu - Advances in Engineering Software, 2023 - Elsevier
… Methods of machine learning can aid intelligent system decision-making. The … a machine
+learning model make predictions. By taking into account several variables, machine learning …
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[HTML][HTML] Application of machine learning for composite moulding process modelling

Y Wang, S Xu, KH Bwar, B Eisenbart, G Lu… - Composites …, 2024 - Elsevier
… of machine learning to facilitate composite moulding process modelling. The well-established
+PixelRNN, an image-based machine learning … potential of machine learning in composite …
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[PDF] researchgate.net

[PDF][PDF] Review of predictive modeling and machine learning applications in financial service analysis

KJ Olowe, NL Edoh, SJC Zouo… - Computer Science & IT …, 2024 - researchgate.net
… challenges associated with the use of machine learning techniques in the financial services
+industry… This review will highlight the growing importance of machine learning in the financial …
Save Cite Cited by 24 Related articles All 2 versions View as HTML
[PDF] nature.com

High-throughput microbial culturomics using automation and machine learning

Y Huang, RU Sheth, S Zhao, LA Cohen… - Nature …, 2023 - nature.com
… We develop a machine learning approach that leverages colony morphology and genomic
+data to maximize the diversity of microbes isolated and enable targeted picking of specific …
Save Cite Cited by 203 Related articles All 10 versions
[HTML] sciencedirect.com

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
… machine learning … of machine learning and artificial intelligence applications for different
+use cases enabled by future mobile communication systems. An overview of machine learning …
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[HTML] mdpi.com

[HTML][HTML] Predicting the onset of diabetes with machine learning methods

CY Chou, DY Hsu, CH Chou - Journal of Personalized Medicine, 2023 - mdpi.com
… After sorting out the complete data of the patients, this study used Microsoft Machine Learning
+Studio to train the models of various kinds of neural networks, and the prediction results …
Save Cite Cited by 138 Related articles All 8 versions Cached
[PDF] nih.gov

Applications of artificial intelligence, machine learning, and deep learning in nutrition: a systematic review

TPT Armand, KA Nfor, JI Kim, HC Kim - Nutrients, 2024 - pmc.ncbi.nlm.nih.gov
… A systematic literature review was conducted in this study regarding the applications of AI,
+machine learning, and deep learning techniques applied in nutrition sciences. A hybrid …
Save Cite Cited by 75 Related articles All 5 versions
[PDF] ametsoc.org

A machine learning explainability tutorial for atmospheric sciences

ML Flora, CK Potvin, A McGovern… - Artificial Intelligence for …, 2024 - journals.ametsoc.org
… With increasing interest in explaining machine learning (ML) models, this paper synthesizes
+… of machine learning explainability in the atmospheric and other environmental sciences. …
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[PDF] nsf.gov

Bridging the complexity gap in computational heterogeneous catalysis with machine learning

T Mou, HS Pillai, S Wang, M Wan, X Han… - Nature Catalysis, 2023 - nature.com
… developments and applications of machine learning to narrow and, … and challenges of
+machine learning for the automated … We discuss machine learning algorithms in alleviating some …
Save Cite Cited by 199 Related articles All 6 versions
[PDF] arxiv.org

Chatgpt or human? detect and explain. explaining decisions of machine learning model for detecting short chatgpt-generated text

S Mitrović, D Andreoletti, O Ayoub - arXiv preprint arXiv:2301.13852, 2023 - arxiv.org
… In this paper, we study whether a machine learning model can be effectively trained to
+accurately distinguish between original human and seemingly human (that is, ChatGPT-generated…
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[PDF] yuktabpublisher.com

Enhancing Marketing, Sales, Innovation, and Financial Management Through Machine Learning

SKC Tulli - International Journal of Modern Computing, 2023 - yuktabpublisher.com
… Planning ahead for potential maintenance needs Proactive maintenance powered by artificial
+intelligence and machine learning is gaining traction in industries such as transportation …
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[HTML] mdpi.com

[HTML][HTML] Forecasting stock market prices using machine learning and deep learning models: A systematic review, performance analysis and discussion of implications

G Sonkavde, DS Dharrao, AM Bongale… - International Journal of …, 2023 - mdpi.com
… Hence, this review article presents recent state-of-the-art machine learning and deep
+learning techniques for stock price prediction. The salient contributions and uniqueness of this …
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[HTML][HTML] Fraud detection in healthcare claims using machine learning: A systematic review

A du Preez, S Bhattacharya, P Beling… - Artificial Intelligence in …, 2025 - Elsevier
… A wide variety of machine learning algorithms are highlighted in these … machine learning
+approaches remain dominant in this research area, the adoption of advanced deep learning …
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Shield attitude prediction based on Bayesian-LGBM machine learning

H Chen, X Li, Z Feng, L Wang, Y Qin, MJ Skibniewski… - Information …, 2023 - Elsevier
Effective shield attitude control is essential for the quality and safety of shield construction.
+The traditional shield attitude control method is manual control based on a driver's experience…
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[HTML] sciencedirect.com

[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance

I Issah, O Appiah, P Appiahene, F Inusah - Decision analytics journal, 2023 - Elsevier
… , educational stakeholders, including the machine learning (ML) community, have taken an
+… This systematic literature review identifies various machine learning methods based on 84 …
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[PDF] sciencedirect.com

Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons

AF Psaros, X Meng, Z Zou, L Guo… - Journal of Computational …, 2023 - Elsevier
… on solving partial differential equations and learning operator mappings between infinite-…
+Further, to help facilitate the deployment of UQ in Scientific Machine Learning research and …
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[PDF] redalyc.org

[PDF][PDF] Techniques and applications of Machine Learning and Artificial Intelligence in education: a systematic review

W Forero-Corba, FN Bennasar - RIED-Revista Iberoamericana de …, 2024 - redalyc.org
… El Machine Learning es un campo de la … del Machine Learning e inteligencia artificial en
+Educación. La falta de conocimientos y habilidades de los educadores en Machine Learning e …
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[HTML] sciencedirect.com

[HTML][HTML] Condition monitoring using machine learning: A review of theory, applications, and recent advances

O Surucu, SA Gadsden, J Yawney - Expert Systems with Applications, 2023 - Elsevier
… Hence, based on monitoring the condition of the machinery, predictive maintenance can
+minimize machine downtime and potential losses. Throughout the field, machine learning (ML) …
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[HTML] acs.org

Machine learning aided design and optimization of thermal metamaterials

C Zhu, EA Bamidele, X Shen, G Zhu, B Li - Chemical Reviews, 2024 - ACS Publications
… were previously intractable, for example, the machine learning (ML) has been able to predict
+… Then, we present a series of case studies showcasing the application of machine learning …
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[HTML] mdpi.com

[HTML][HTML] Using machine learning to predict antimicrobial resistance―a literature review

A Sakagianni, C Koufopoulou, G Feretzakis, D Kalles… - Antibiotics, 2023 - mdpi.com
… Machine learning (ML) algorithms are increasingly applied in … Both supervised and
+unsupervised machine learning tools … existing literature on machine learning and artificial …
Save Cite Cited by 130 Related articles All 9 versions Cached

Quantum machine learning in healthcare: Developments and challenges

S Rani, PK Pareek, J Kaur, M Chauhan… - … on Integrated Circuits …, 2023 - ieeexplore.ieee.org
… , quantum machine learning framework, and the various applications of quantum machine
+learning in … faced in the deployment of quantum machine learning algorithms in the domain of …
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[HTML][HTML] Machine learning meets cancer

EV Varlamova, MA Butakova, VV Semyonova… - Cancers, 2024 - mdpi.com
… The role of machine learning (a part of artificial intelligence—AI) in the diagnosis and …
+This review describes recent applications of machine learning in oncology, including medical …
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+================================================================================ +machine learning - Google Scholar
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[HTML] sciencedirect.com

[HTML][HTML] Chronic kidney disease prediction based on machine learning algorithms

MA Islam, MZH Majumder, MA Hussein - Journal of pathology informatics, 2023 - Elsevier
… of several different machine learning approaches for providing … with the help of machine
+learning and predictive analytics, … Twelve different machine learning-based classifiers have …
Save Cite Cited by 245 Related articles All 7 versions

Machine learning and artificial intelligence in research and healthcare

L Rubinger, A Gazendam, S Ekhtiari, M Bhandari - Injury, 2023 - Elsevier
… Under the umbrella of AI is machine learning (ML). Machine learning is the process of
+building or learning statistical models using previously observed real world data to predict …
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[PDF] science.orgFull View

Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence

W Fang, Y Chen, J Ding, Z Yu, T Masquelier… - Science …, 2023 - science.org
… of real neural systems but are not designed to solve machine learning tasks. Nengo (80), …
+machine learning and reinforcement learning algorithms but still lack the modern deep learning …
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[PDF] researchgate.net

[PDF][PDF] Machine Learning in Credit Risk Assessment: Analyzing How Machine Learning Models Are

TR Gatla - International Journal of Emerging Technologies and …, 2023 - researchgate.net
… of machine learning in credit risk assessment, focusing on the data pre-processing aspects
+… of machine learning models. The report begins with an overview of machine learning …
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[PDF] springer.com

Healthcare predictive analytics using machine learning and deep learning techniques: a survey

M Badawy, N Ramadan, HA Hefny - Journal of Electrical Systems and …, 2023 - Springer
… the role of systems depending on machine learning and deep learning in the creation of steps
+… survey of existing machine learning and deep learning approaches utilized in healthcare …
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[PDF] tandfonline.com

Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach

B Zhang, H Shi, H Wang - Journal of multidisciplinary healthcare, 2023 - Taylor & Francis
… Citation27 This is accomplished by AI using deep learning methods and machine learning
+techniques. These systems can identify behavioral patterns and generate their own reasoning…
Save Cite Cited by 274 Related articles All 7 versions

The Emergence of Artificial Intelligence and Machine Learning in Contemporary Business Management

P William, A Panicker, A Falah… - 2023 4th …, 2023 - ieeexplore.ieee.org
… In this article, the fundamental concepts behind machine learning are deconstructed, … to
+machine learning. In addition to this, the paper highlights the benefits of using machine learning, …
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[PDF] arxiv.org

Machine learning robustness: A primer

HB Braiek, F Khomh - Trustworthy AI in Medical Imaging, 2025 - Elsevier
This chapter explores the foundational concept of robustness in Machine Learning (ML) and
+its integral role in establishing trustworthiness in Artificial Intelligence (AI) systems. The …
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[PDF] journals4promo.com

Hyperparameter tuning in machine learning: A comprehensive review

J a Ilemobayo, O Durodola… - Journal of …, 2024 - catalog.journals4promo.com
… machine learning … learning rate and batch size on model training. Various tuning methods
+are examined, including grid search, random search, Bayesian optimization, and meta-learning…
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[HTML][HTML] Human–robot collaboration and machine learning: A systematic review of recent research

F Semeraro, A Griffiths, A Cangelosi - Robotics and Computer-Integrated …, 2023 - Elsevier
… Machine learning is a recent approach to build the cognitive … of the use of machine learning
+techniques in the context of … on different families of machine learning algorithms and their …
Save Cite Cited by 316 Related articles All 8 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] arxiv.org

Phase transition study meets machine learning

YG Ma, LG Pang, R Wang, K Zhou - Chinese Physics Letters, 2023 - iopscience.iop.org
In recent years, machine learning (ML) techniques have emerged as powerful tools for studying
+many-body complex systems, and encompassing phase transitions in various domains …
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A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior

E Yaghoubi, E Yaghoubi, A Khamees, D Razmi… - … Applications of Artificial …, 2024 - Elsevier
Abstract Machine learning (ML) and deep learning (DL) have enabled algorithms to autonomously
+acquire knowledge from data, facilitating predictive and decision-making capabilities …
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[HTML] mdpi.com

[HTML][HTML] A review of machine learning techniques in agroclimatic studies

D Tamayo-Vera, X Wang, M Mesbah - Agriculture, 2024 - mdpi.com
… The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic …
+advocate for a strategic pivot toward Automated Machine Learning (AutoML) frameworks. AutoML …
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[PDF] wiley.com

Machine learning in computational histopathology: Challenges and opportunities

M Cooper, Z Ji, RG Krishnan - Genes, Chromosomes and …, 2023 - Wiley Online Library
… of machine learning, and deep learning in particular, a powerful set of tools for the analysis
+of histopathological images. Machine learning … the various machine learning techniques that …
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[HTML][HTML] Forecasting renewable energy generation with machine learning and deep learning: Current advances and future prospects

NE Benti, MD Chaka, AG Semie - Sustainability, 2023 - mdpi.com
… This section discusses the various machine learning techniques utilized for renewable … main
+categories of machine learning algorithms, supervised and unsupervised learning, and their …
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[PDF] sciencedirect.com

Machine learning for high-entropy alloys: Progress, challenges and opportunities

X Liu, J Zhang, Z Pei - Progress in Materials Science, 2023 - Elsevier
… Machine learning (ML) sheds light on these problems with its capability to represent … Examples
+of machine-learned phase-formation rules and order parameters are used to illustrate the …
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[HTML][HTML] Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models

F Alwahedi, A Aldhaheri, MA Ferrag, A Battah… - Internet of Things and …, 2024 - Elsevier
… Machine Learning (ML), a rapidly advancing technology, has shown considerable promise
+… methodologies, and challenges in applying machine learning for cyber threat detection in IoT …
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[HTML][HTML] Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician

AA Theodosiou, RC Read - Journal of Infection, 2023 - Elsevier
Background Artificial intelligence (AI), machine learning and deep learning (including
+generative AI) are increasingly being investigated in the context of research and management of …
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[PDF] science.org

Mechanism for feature learning in neural networks and backpropagation-free machine learning models

A Radhakrishnan, D Beaglehole, P Pandit, M Belkin - Science, 2024 - science.org
… is absent in standard machine learning models, including kernel machines, our result implies
+that AGOP can be used to enable task-relevant feature learning in these standard models …
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[PDF] researchgate.net

Classification and prediction of student performance data using various machine learning algorithms

H Pallathadka, A Wenda, E Ramirez-Asís… - Materials today …, 2023 - Elsevier
… However, a multi-strategy machine learning technique can overcome the shortcomings of …
+of various machine learning algorithms is shown below in Fig. 3. Machine learning algorithms …
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+================================================================================ +machine learning - Google Scholar
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[PDF] sciencedirect.com

Integrating physics-based modeling with machine learning for lithium-ion batteries

H Tu, S Moura, Y Wang, H Fang - Applied energy, 2023 - Elsevier
… machine learning to achieve high-precision modeling for LiBs. The frameworks are characterized
+by informing the machine learning … between physics and machine learning. Based on …
Save Cite Cited by 146 Related articles All 11 versions
[PDF] arxiv.org

Machine learning for practical quantum error mitigation

H Liao, DS Wang, I Sitdikov, C Salcedo, A Seif… - Nature Machine …, 2024 - nature.com
… machine learning for quantum error mitigation (ML-QEM) drastically reduces the cost of
+mitigation. We benchmarked ML-QEM using a variety of machine learning … machine learning can …
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Application of machine learning in optical fiber sensors

Y Zhou, Y Zhang, Q Yu, L Ren, Q Liu, Y Zhao - Measurement, 2024 - Elsevier
In recent years, with the increasing demand for intelligent society, intelligent photonics has
+developed rapidly. Machine learning (ML), as a subset of artificial intelligence (AI), has …
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[HTML][HTML] Democratizing artificial intelligence: How no-code AI can leverage machine learning operations

L Sundberg, J Holmström - Business Horizons, 2023 - Elsevier
Organizations are increasingly seeking to generate value and insights from their data by
+integrating advances in artificial intelligence (AI) (eg, machine learning (ML) systems) into their …
Save Cite Cited by 147 Related articles All 6 versions
[PDF] springer.com

Machine learning heralding a new development phase in molecular dynamics simulations

E Prašnikar, M Ljubič, A Perdih, J Borišek - Artificial intelligence review, 2024 - Springer
… sampling of conformational space designed without the implementation of machine learning
+(ML). Next, we discuss most of the deep learning (DL) - based architectures to enhance the …
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[PDF] academia.edu

[PDF][PDF] The role of machine learning in transforming business intelligence

JP Bharadiya - International Journal of Computing and Artificial …, 2023 - academia.edu
Abstract Machine Learning (ML) has emerged as a transformative force in the field of Business
+Intelligence (BI), revolutionizing the way organizations extract insights from vast amounts …
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[HTML][HTML] MRI brain tumor detection using deep learning and machine learning approaches

S Anantharajan, S Gunasekaran, T Subramanian - Measurement …, 2024 - Elsevier
… the emerging machine learning field of “Deep Learning (DL)" has grown significantly. It was
+extensively used in numerous applications and shown to be an effective Machine Learning (…
Save Cite Cited by 139 Related articles All 2 versions
[PDF] ssrn.com

Artificial intelligence, machine learning, deep learning, and blockchain in financial and banking services: A comprehensive review

M Paramesha, N Rane, J Rane - … Learning, Deep Learning, and …, 2024 - papers.ssrn.com
… Machine learning and deep learning are improving … In conclusion, machine learning and
+deep learning are leading to … Table -1: Machine learning and deep learning in finance and …
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[PDF] springer.com

High-energy nuclear physics meets machine learning

WB He, YG Ma, LG Pang, HC Song, K Zhou - Nuclear Science and …, 2023 - Springer
Although seemingly disparate, high-energy nuclear physics (HENP) and machine learning (ML)
+have begun to merge in the last few years, yielding interesting results. It is worthy to …
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Using machine-learning models to understand nonlinear relationships between land use and travel

J Cao, T Tao - Transportation Research Part D: Transport and …, 2023 - Elsevier
… The number of machine learning applications to explore the … and limitations of using machine
+learning approaches to reveal … derived from recent machine learning applications and call …
Save Cite Cited by 65 Related articles All 4 versions
+================================================================================ +machine learning - Google Scholar
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[PDF] researchgate.net

[PDF][PDF] Machine learning software for optimizing SME social media marketing campaigns

WE Kedi, C Ejimuda, C Idemudia… - Computer Science & IT …, 2024 - researchgate.net
… This review paper explores the transformative role of machine learning … machine learning
+applications. The paper delves into the technical challenges of implementing machine learning…
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[PDF] iop.org

Quantum machine learning for image classification

A Senokosov, A Sedykh, A Sagingalieva… - Machine Learning …, 2024 - iopscience.iop.org
… This research addresses these challenges by introducing two quantum machine learning
+models … These models represent advancements in quantum machine learning research and …
Save Cite Cited by 157 Related articles All 5 versions
[PDF] ssrn.com

Machine learning and the implementable efficient frontier

TI Jensen, BT Kelly, S Malamud… - Swiss Finance Institute …, 2024 - papers.ssrn.com
… Pedersen (2013), the aim portfolio (21) can be simplified as shown in Propositon 8 in
+appendix, but we rely instead on machine learning procedures for the more general formulation. …
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[HTML][HTML] Fermentation design and process optimization strategy based on machine learning

ZZ Wang, DW Zeng, YF Zhu, MH Zhou, A Kondo… - BioDesign …, 2025 - Elsevier
… factors, so far, machine learning has been widely used in this … and process optimization
+based on machine learning. In the … Then, machine learning modelling is employed to simulate …
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Recent advances in machine learning‐assisted multiscale design of energy materials

B Mortazavi - Advanced Energy Materials, 2025 - Wiley Online Library
… This section is followed by a review of recent breakthroughs in deep learning … 2 Machine
+Learning Interatomic Potentials We begin by exploring the significance of machine learning …
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[HTML][HTML] SurvSHAP (t): time-dependent explanations of machine learning survival models

M Krzyziński, M Spytek, H Baniecki, P Biecek - Knowledge-Based Systems, 2023 - Elsevier
… Machine and deep learning survival models demonstrate similar or even improved time-to-event
+prediction capabilities compared to classical statistical learning … machine learning …
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[PDF] wiley.comFull View

Student performance prediction using machine learning algorithms

E Ahmed - Applied computational intelligence and soft …, 2024 - Wiley Online Library
… Kotsiantis et al. estimated student success using machine learning techniques, finding the
+… of machine learning for dropout student outcome prediction using various machine learning …
Save Cite Cited by 83 Related articles All 5 versions
[PDF] sciencedirect.com

Machine learning techniques for breast cancer prediction

V Nemade, V Fegade - Procedia Computer Science, 2023 - Elsevier
… All machine learning algorithm used in this paper are implemented on Google Colab that
+provide Jupyter Notebook environment using Scikit learn library available in python. Numpy, …
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[PDF] springer.com

MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques

S Saeedi, S Rezayi, H Keshavarz… - BMC Medical Informatics …, 2023 - Springer
… Among applied machine learning methods, Multilayer Perceptron (MLP) (28%) and K-Nearest …
+methods developed in this study and several machine learning methods (p-value < 0.05). …
Save Cite Cited by 490 Related articles All 11 versions
[PDF] tandfonline.com

Learning machine learning with young children: Exploring informal settings in an African context

IT Sanusi, K Sunday, SS Oyelere… - Computer Science …, 2024 - Taylor & Francis
… the teaching and learning of basic machine learning principles (Carney et al., … machine
+learning and further explore young children’s early encounters and insights into machine learning…
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[HTML][HTML] Recent advances in computational modeling of MOFs: From molecular simulations to machine learning

H Demir, H Daglar, HC Gulbalkan, GO Aksu… - Coordination Chemistry …, 2023 - Elsevier
… Leveraging data-driven science techniques can offer key benefits such as accelerated MOF
+design and discovery pathways via the establishment of machine learning (ML) models and …
Save Cite Cited by 162 Related articles All 2 versions
[PDF] nber.org

Machine learning as a tool for hypothesis generation

J Ludwig, S Mullainathan - The Quarterly Journal of Economics, 2024 - academic.oup.com
While hypothesis testing is a highly formalized activity, hypothesis generation remains largely
+informal. We propose a systematic procedure to generate novel hypotheses about human …
Save Cite Cited by 125 Related articles All 16 versions Library Search

Machine learning solutions for renewable energy systems: Applications, challenges, limitations, and future directions

Z Allal, HN Noura, O Salman, K Chahine - Journal of Environmental …, 2024 - Elsevier
… However, emerging advancements in Machine Learning (ML) technologies provide a
+glimmer of hope; these sophisticated algorithms can accurately predict the output of energy …
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[HTML][HTML] Metallogenic prediction based on fractal theory and machine learning in Duobaoshan Area, Heilongjiang Province

J Chen, Z Zhao, Y Yang, C Li, Y Yin, X Zhao, N Zhao… - Ore Geology …, 2024 - Elsevier
… information with the predictive results of machine-learning models, we delineated eight …
+method involving fractal theory and machine-learning in mineral exploration, offering new …
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[PDF] sciencedirect.com

Improving soil moisture prediction with deep learning and machine learning models

FT Teshome, HK Bayabil, B Schaffer… - … and Electronics in …, 2024 - Elsevier
… This study was conducted to develop a deep learning regression network for sub-hourly SM
+prediction and compare its performance with traditional machine learning models, including …
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[PDF] 103.81.70.85

A comparative study of machine learning algorithms for detecting breast cancer

RH Khan, J Miah, MM Rahman… - 2023 IEEE 13th Annual …, 2023 - ieeexplore.ieee.org
… AI also adds machine learning which gives a good parallel model and … machine learning
+model which can predict breast cancer at an early stage and provide which machine learning …
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[PDF] acm.org

In-processing modeling techniques for machine learning fairness: A survey

M Wan, D Zha, N Liu, N Zou - ACM Transactions on Knowledge …, 2023 - dl.acm.org
… In the context of machine learning, unfairness often refers to … with fairness in the machine
+learning literature [61]. However, … In this article, fairness of a machine learning model is defined …
Save Cite Cited by 190 Related articles All 8 versions

Machine learning algorithms: features and applications

H Taherdoost - Encyclopedia of Data Science and Machine Learning, 2023 - igi-global.com
… There are various algorithms and classes of Machine Learning, but no one is free from
+limitations and … In this review, the most practical and popular algorithms of Machine Learning and …
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[HTML][HTML] Analysis of challenges and solutions of IoT in smart grids using AI and machine learning techniques: A review

T Mazhar, HM Irfan, I Haq, I Ullah, M Ashraf, TA Shloul… - Electronics, 2023 - mdpi.com
… The first section of this paper discusses the most common machine learning methods for
+forecasting building energy demand. The authors then discuss IoT and how it works, in addition …
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Predictions of steel price indices through machine learning for the regional northeast Chinese market

B Jin, X Xu - Neural computing and applications, 2024 - Springer
Projections of commodity prices have long been a significant source of dependence for
+investors and the government. This study investigates the challenging topic of forecasting the …
Save Cite Cited by 136 Related articles All 2 versions
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[PDF] springer.com

Predicting potato crop yield with machine learning and deep learning for sustainable agriculture

ESM El-Kenawy, AA Alhussan, N Khodadadi, S Mirjalili… - Potato Research, 2025 - Springer
… discoveries in machine learning and deep learning provide … and multilayer perceptron that
+use machine learning, as well as … ), which are popular in deep learning models. These models …
Save Cite Cited by 81 Related articles All 5 versions
[HTML] mdpi.com

[HTML][HTML] Machine learning and AI technologies for smart wearables

KP Seng, LM Ang, E Peter, A Mmonyi - Electronics, 2023 - mdpi.com
… , deep reinforcement learning, and stacked autoencoder architectures. Our paper will focus
+on discussions for both classical machine learning approaches and recent deep learning …
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IoT security based on machine learning

RK Vanakamamidi, L Ramalingam… - … For Smart Nation …, 2023 - ieeexplore.ieee.org
… The purposes of this study are to examine the role of machine learning and deep learning in
+… been done utilizing different machine learning and deep learning models both singly and as …
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[HTML][HTML] Machine learning empowering drug discovery: Applications, opportunities and challenges

X Qi, Y Zhao, Z Qi, S Hou, J Chen - Molecules, 2024 - mdpi.com
… As the representative AI method, machine learning (ML), empowers machines to learn
+from existing data by using statistical approaches and make predictions, which can be further …
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[PDF] acs.org

Toward an integrated machine learning model of a proteomics experiment

BA Neely, V Dorfer, L Martens, I Bludau… - Journal of proteome …, 2023 - ACS Publications
… be accessible to machine learning practitioners, as well as machine learning methods to …
+are essential in domains such as machine learning for education and calibration across the …
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[PDF] academianexusjournal.com

Machine Learning in Motion: Real-World Implementations and Future Possibilities

AS Shethiya - Academia Nexus Journal, 2023 - academianexusjournal.com
… This paper explores not only where machine learning is working today, but how it is working…
+It also looks toward future trends like federated learning, which enables decentralized model …
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[HTML] mdpi.com

[HTML][HTML] Twenty years of machine-learning-based text classification: A systematic review

A Palanivinayagam, CZ El-Bayeh, R Damaševičius - Algorithms, 2023 - mdpi.com
… employed machine learning … machine learning models, best accuracy, performance evaluation
+metrics, training and testing splitting methods, and comparisons among machine learning …
Save Cite Cited by 101 Related articles All 7 versions Cached
[PDF] ieee.org

An approach for crop prediction in agriculture: Integrating genetic algorithms and machine learning

T Mahmud, N Datta, R Chakma, UK Das, MT Aziz… - IEEE …, 2024 - ieeexplore.ieee.org
… Machine learning is recognized as a versatile approach for … , a powerful ensemble learning
+technique, to classify the class … By integrating genetic algorithms and machine learning …
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[HTML][HTML] Machine learning for optimising renewable energy and grid efficiency

BI Oladapo, MA Olawumi, FT Omigbodun - Atmosphere, 2024 - mdpi.com
… application of machine learning models to … machine learning in expediting the attainment
+of Net Zero emissions through optimising renewable energy systems [11,12]. Machine learning …
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[HTML][HTML] Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review

W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
… The use of machine learning and data-driven methods for … and challenges of using
+machine learning and data-driven … Next, the paper discusses the use of machine learning and …
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Advances and applications of machine learning and deep learning in environmental ecology and health

S Cui, Y Gao, Y Huang, L Shen, Q Zhao, Y Pan… - Environmental …, 2023 - Elsevier
Abstract Machine learning (ML) and deep learning (DL) possess excellent advantages in
+data analysis (eg, feature extraction, clustering, classification, regression, image recognition …
Save Cite Cited by 61 Related articles All 4 versions

Applications of machine learning techniques for enhancing nondestructive food quality and safety detection

Y Lin, J Ma, Q Wang, DW Sun - Critical Reviews in Food Science …, 2023 - Taylor & Francis
… -of-the-art machine learning techniques show great potential for … machine learning algorithms
+have their characteristics and applicability scenarios. Due to the nature of feature learning, …
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[HTML][HTML] Forecasting solar energy production: A comparative study of machine learning algorithms

Y Ledmaoui, A El Maghraoui, M El Aroussi, R Saadane… - Energy Reports, 2023 - Elsevier
… This paper presents a complete and comparative study of solar energy production forecasting
+in Morocco using six machine learning (ML) algorithms : Support Vector Regression (SVR)…
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[PDF] ieee.org

Personalized adaptive learning technologies based on machine learning techniques to identify learning styles: A systematic literature review

SG Essa, T Celik, NE Human-Hendricks - IEEE Access, 2023 - ieeexplore.ieee.org
… field of machine learning (ML) to tackle the challenge of personalising e-learning by mapping
+… to optimise the individual learning process and enhance the elearning experience [9], [10]. …
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[HTML] mdpi.com

[HTML][HTML] A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges

Q An, S Rahman, J Zhou, JJ Kang - Sensors, 2023 - mdpi.com
… of machine learning … machine learning algorithms in healthcare applications. After a
+comprehensive overview and investigation of supervised and unsupervised machine learning …
Save Cite Cited by 306 Related articles All 13 versions Cached

Artificial intelligence and machine learning for drug safety

YM Al-Worafi - Technology for drug safety: Current status and future …, 2023 - Springer
… This chapter has discussed the use of AI and machine learning in drug safety. The use of
+AI and machine learning in drug safety holds great promise for improving patient safety, …
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[HTML][HTML] Compressive strength of concrete material using machine learning techniques

S Paudel, A Pudasaini, RK Shrestha… - Cleaner Engineering and …, 2023 - Elsevier
… The paper presents a study on the various investigation of machine learning (ML) algorithms
+to … The study highlights the effectiveness of machine learning techniques, particularly the …
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[HTML] mdpi.com

[HTML][HTML] Application of machine learning in water resources management: a systematic literature review

F Ghobadi, D Kang - Water, 2023 - mdpi.com
In accordance with the rapid proliferation of machine learning (ML) and data management,
+ML applications have evolved to encompass all engineering disciplines. Owing to the …
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[PDF] e3s-conferences.org

Machine learning to identify key success indicators

V Nelyub, A Glinscaya, V Kukartsev… - E3S Web of …, 2023 - e3s-conferences.org
… The purpose of this paper is to obtain machine learning models that will help in … of learning
+and other important aspects of the educational process [3]. The use of machine learning as a …
Save Cite Cited by 35 Related articles All 3 versions
[PDF] nature.com

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning

J Yang, AAS Soltan, DW Eyre, DA Clifton - Nature Machine Intelligence, 2023 - nature.com
… As models based on machine learning continue to be … Here we introduce a reinforcement
+learning framework capable … state-of-the-art machine learning methods. We performed external …
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[HTML][HTML] Recent trends of machine learning applied to multi-source data of medicinal plants

Y Zhang, Y Wang - Journal of Pharmaceutical Analysis, 2023 - Elsevier
… intelligence, machine learning can … machine learning algorithms and discusses their
+application in multi-source data analysis of medicinal plants. The combination of machine learning …
Save Cite Cited by 65 Related articles All 9 versions
[HTML] mdpi.com

[HTML][HTML] A robust chronic kidney disease classifier using machine learning

D Swain, U Mehta, A Bhatt, H Patel, K Patel, D Mehta… - Electronics, 2023 - mdpi.com
… In such a case, machine learning can be used as an effective … Machine learning is the process
+of training a machine using … This work aims at developing a machine-learning model that …
Save Cite Cited by 94 Related articles All 5 versions Cached
[PDF] springer.com

Research trends in deep learning and machine learning for cloud computing security

YI Alzoubi, A Mishra, AE Topcu - Artificial intelligence review, 2024 - Springer
… security utilizing machine learning and deep learning, … machine learning and deep learning
+for cloud security. The findings of this paper reveal that deep learning and machine learning …
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[PDF] researchgate.net

[PDF][PDF] Machine learning for green hydrogen production

KE Bassey, C Ibegbulam - Computer Science & IT Research …, 2023 - researchgate.net
… This study explores the application of machine learning (ML) techniques to develop AI-driven …
+Machine learning models can analyze complex datasets generated during the electrolysis …
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[PDF] acm.org

Application of machine learning optimization in cloud computing resource scheduling and management

Y Zhang, B Liu, Y Gong, J Huang, J Xu… - Proceedings of the 5th …, 2024 - dl.acm.org
… By leveraging machine learning optimization techniques, particularly deep reinforcement
+learning, … Overall, the integration of deep learning with cloud computing scheduling holds great …
Save Cite Cited by 107 Related articles All 3 versions
[PDF] sciencedirect.com

Diabetes prediction using supervised machine learning

ME Febrian, FX Ferdinan, GP Sendani… - Procedia Computer …, 2023 - Elsevier
… Because of that we can use machine learning to prevent the death by making an artificial …
+health attributes in the dataset using supervised machine learning. According to the results of …
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[PDF] rsc.org

Leveraging machine learning in porous media

M Delpisheh, B Ebrahimpour, A Fattahi… - Journal of Materials …, 2024 - pubs.rsc.org
The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
+has had a significant impact on engineering and the fundamental sciences, resulting in …
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[PDF] nsf.gov

Survey of machine learning for software-assisted hardware design verification: Past, present, and prospect

N Wu, Y Li, H Yang, H Chen, S Dai, C Hao… - ACM Transactions on …, 2024 - dl.acm.org
… Driven by the push from the desired verification productivity boost and the pull from leap-ahead
+capabilities of machine learning (ML), recent years have witnessed the emergence of …
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[PDF] manchester.ac.uk

Organic reaction mechanism classification using machine learning

J Burés, I Larrosa - Nature, 2023 - nature.com
… To fully explore the potential of our machine learning model, we investigated the effect of …
+4: Effect of error and amount of data points in the performance of the machine learning …
Save Cite Cited by 121 Related articles All 9 versions
[PDF] researchgate.net

[PDF][PDF] Harnessing machine learning in business analytics for enhanced decision-making

RH Chowdhury - World Journal of Advanced Engineering …, 2024 - researchgate.net
… This research investigates the role of machine learning in … The study explores the theoretical
+foundations of machine learning and … The findings reveal that machine learning significantly …
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[PDF] pnas.orgFull View

Machine learning meets physics: A two-way street

H Levine, Y Tu - Proceedings of the National Academy of Sciences, 2024 - pnas.org
… 2, we illustrate the key components and the workflow of machine learning such as neural-network-based
+deep learning, which we call the “Central Dogma” of Machine Learning. The …
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Machine-learning-enabled discrete element method: The extension to three dimensions and computational issues

S Huang, P Wang, Z Lai, ZY Yin, L Huang… - Computer Methods in …, 2024 - Elsevier
… have introduced a machine learning-enabled approach … extends the application of
+machine learning-enabled DEM to … The efficacy of the machine learning-enabled 3D DEM is …
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[HTML][HTML] A review of machine learning and deep learning for object detection, semantic segmentation, and human action recognition in machine and robotic vision

N Manakitsa, GS Maraslidis, L Moysis, GF Fragulis - Technologies, 2024 - mdpi.com
… of the key elements that constitute machine vision and the … the broad field of machine and
+deep learning in recent years, … machine learning and deep learning methods in machine/…
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[PDF] springer.com

Machine learning in crime prediction

K Jenga, C Catal, G Kar - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
… machine learning-… machine learning papers that predict crime. We formulate eight research
+questions and observe that the majority of the papers used a supervised machine learning …
Save Cite Cited by 105 Related articles All 5 versions
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[HTML][HTML] Assessing the influence of sugarcane bagasse ash for the production of eco-friendly concrete: Experimental and machine learning approaches

MHR Sobuz, SD Datta, JA Jabin, FS Aditto… - Case Studies in …, 2024 - Elsevier
… with machine learning approaches. Therefore, this study aims to investigate fresh, mechanical
+and microstructural characteristics and machine learning … Different machine learning (ML) …
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[HTML][HTML] Machine learning applications for carbon emission estimation

HS Al Nuaimi, A Acquaye, A Mayyas - Resources, Conservation & …, 2025 - Elsevier
In the context of escalating global climate change concerns, accurately estimating carbon
+emissions is crucial. This paper conducts a systematic literature review (SLR) on the …
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[HTML][HTML] Application of machine learning approaches for land cover monitoring in northern Cameroon

YG Yuh, W Tracz, HD Matthews, SE Turner - Ecological informatics, 2023 - Elsevier
Abstract Machine learning (ML) models are a leading analytical technique used to monitor,
+map and quantify land use and land cover (LULC) and its change over time. Models such as k…
Save Cite Cited by 126 Related articles All 3 versions

A causal perspective on dataset bias in machine learning for medical imaging

C Jones, DC Castro, F De Sousa Ribeiro… - Nature Machine …, 2024 - nature.com
… There remains a great opportunity for machine learning to improve outcomes in healthcare.
+… should play a key role in future analyses of machine learning models for medical imaging. …
Save Cite Cited by 57 Related articles All 2 versions
[PDF] springer.com

Advanced machine learning techniques for cardiovascular disease early detection and diagnosis

NA Baghdadi, SM Farghaly Abdelaliem, A Malki… - Journal of Big Data, 2023 - Springer
… Therefore, the incorporation of machine learning methods holds significant promise in the …
+novel, robust, effective, and efficient machine learning algorithms, specifically designed for the …
Save Cite Cited by 116 Related articles All 8 versions
[PDF] arxiv.org

A survey for solving mixed integer programming via machine learning

J Zhang, C Liu, X Li, HL Zhen, M Yuan, Y Li, J Yan - Neurocomputing, 2023 - Elsevier
… integration of machine learning and MIP with detailed discussions on related learning-based …
+Finally, we propose the outlook for learning-based MIP solvers, the direction toward more …
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[PDF] tandfonline.com

Quantum machine learning: from physics to software engineering

A Melnikov, M Kordzanganeh, A Alodjants… - Advances in Physics …, 2023 - Taylor & Francis
… We also illustrate how machine learning can be used both to … can be enhanced by applying
+machine learning to fundamental and … of machine learning solutions using quantum software. …
Save Cite Cited by 139 Related articles All 5 versions

Diagnosis of diabetes using machine learning algorithms

FA Khaleel, AM Al-Bakry - Materials Today: Proceedings, 2023 - Elsevier
… After preparing the data for modeling, we predict diabetes mellitus using three common
+machine learning classification algorithms. This section summarizes the three machine learning …
Save Cite Cited by 152 Related articles
[PDF] researchgate.net

[PDF][PDF] Integrating AI and machine learning with UVM in semiconductor design

M Vaithianathan, M Patil, SF Ng… - ESP International Journal …, 2024 - researchgate.net
… h) Deep Learning: Deep learning is a subfield of machine learning which uses artificial
+neural networks with multiple layers, also known as deep neural networks. It is good at handling …
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[HTML] mdpi.com

[HTML][HTML] Hyperparameter search for machine learning algorithms for optimizing the computational complexity

YA Ali, EM Awwad, M Al-Razgan, A Maarouf - Processes, 2023 - mdpi.com
… For machine learning algorithms, fine-tuning hyperparameters is a computational challenge
+… using the machine learning model known as Support Vector Machine and optimizing it using …
Save Cite Cited by 240 Related articles All 6 versions Cached

Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art

AA Montevechi, R de Carvalho Miranda… - … Applications of Artificial …, 2024 - Elsevier
… Advances in Machine Learning (ML) now allow models to handle larger datasets with greater
+predictive power. Algorithms such as Decision Trees (DT), Support Vector Machines (SVM)…
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Multi-temporal image analysis of wetland dynamics using machine learning algorithms

RW Aslam, I Naz, H Shu, J Yan, A Quddoos… - Journal of …, 2024 - Elsevier
… Recent advances in machine learning, time series earth observation data, and cloud … To
+guide conservation strategies, the research integrates satellite data analytics, machine learning …
Save Cite Cited by 58 Related articles All 4 versions

Optimization of water quality index models using machine learning approaches

F Ding, W Zhang, S Cao, S Hao, L Chen, X Xie, W Li… - Water research, 2023 - Elsevier
… We determined the combined weights based on machine learning and game theory to … The
+weight CW AL was combined by AHP and machine learning (LightGBM). CW AL was judged …
Save Cite Cited by 122 Related articles All 4 versions
[PDF] arxiv.org

Better than classical? the subtle art of benchmarking quantum machine learning models

J Bowles, S Ahmed, M Schuld - arXiv preprint arXiv:2403.07059, 2024 - arxiv.org
… machine learning models on 6 binary classification tasks used to create 160 individual datasets.
+We find that overall, out-of-the-box classical machine learning … tum machine learning, a …
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[PDF] springer.com

Machine learning for dementia prediction: a systematic review and future research directions

A Javeed, AL Dallora, JS Berglund, A Ali, L Ali… - Journal of medical …, 2023 - Springer
… Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully provided
+… to 2022 using the keywords dementia, machine learning, feature selection, data modalities, …
Save Cite Cited by 168 Related articles All 12 versions
[PDF] semanticscholar.org

[PDF][PDF] An intrusion detection system for sdn using machine learning

G Logeswari, S Bose, T Anitha - Intelligent Automation & …, 2023 - pdfs.semanticscholar.org
… Machine learning techniques have become an essential component of attack security
+measures. These machine learning-… [7] suggested a machine learning-based DDoS defense …
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