Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli by Dmitry Yu Isaev, Samantha Major, Kimberly L. H. Carpenter, Jordan Grapel, Zhuoqing Chang, Matias Di Martino, David Carlson, Geraldine Dawson, Guillermo Sapiro

Get full text

Comparative analysis of audio-MAE and MAE-AST models for real-time audio classification by Lesia Mochurad

Get full text

Machine Learning and Deep Learning for Crop Disease Diagnosis: Performance Analysis and Review by Habiba Njeri Ngugi, Andronicus A. Akinyelu, Absalom E. Ezugwu

“…This paper presents a review of machine learning (ML) and deep learning (DL) techniques for crop disease diagnosis, focusing on Support Vector Machines (SVMs), Random Forest (RF), k-Nearest Neighbors (KNNs), and deep models like VGG16, ResNet50, and DenseNet121. …”
Get full text

Real-Time Based Big Data and E-Learning: A Survey and Open Research Issues by Wael Hadeed, Dhuha Abdullah

“…Finally, this survey also presents the colorful aspects of big data and their relationship to E-learning domains such that e-learning platforms, big data frameworks, and datasets used. …”
Get full text

ANALYSIS OF THE INFLUENCE OF LEARNING MEDIA ON MI STUDENTS' INTEREST IN LEARNING IN TANJUNG PURA by Diah Hafizhotul Husnah

“…The data analysis technique used is simple linear regression analysis. …”
Get full text

Analysis of android-based game learning media needs on elementary thematic learning by Murtiningsih Murtiningsih, Darsinah Darsinah, Murfiah Dewi Wulandari, Minsih Minsih, Yeny Prastiwi

“…This study aimed at identifying the need of android-based game learning media as an elementary thematic learning medium. …”
Get full text

Machine learning and transfer learning techniques for accurate brain tumor classification by Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar

“…This study leverages machine learning (ML) and transfer learning techniques to classify healthy and sick individuals using numerical data and MRI images. …”
Get full text

Ensemble machine learning prediction accuracy: local vs. global precision and recall for multiclass grade performance of engineering students by Yagyanath Rimal, Yagyanath Rimal, Navneet Sharma

“…The primary goal is to address challenges in multiclass data preparation and evaluate the best machine learning models using both micro and macro accuracy metrics derived from baseline comparisons. …”
Get full text

Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces by Haider Khalid, Marcus J. Collier

“…Abstract In recent years, machine learning models have exhibited excellent performance and far-reaching impact across domains such as fraud detection in finance, recommendation systems in e-commerce, medical imaging in healthcare, agricultural forecasting, social engagement, image classification, sentiment analysis in social media network analysis. …”
Get full text

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State by Qian Hu, Jessica Irwin, Qi Sun, Christopher Messenger, Lami Suleiman, Ik Siong Heng, John Veitch

“…The optimized computational cost of BNS signal analysis with our framework shows that machine learning has the potential to be an indispensable tool for future catalog-level BNS analyses, paving the way for large-scale investigations of BNS-related physics across the 3G observational landscape.…”
Get full text

META-ANALYSIS OF THE EFFECT OF LEARNING CYCLE 5E MODEL ON PHYSICS LEARNING by Salam Salam, Zuhdan Kun Prasetyo, Mundilarto Mundilarto, Heru Kuswanto, Santri Adi Putri

“…Data analysis using effect size. The results of the analysis show that overall the learning cycle 5E model has an effect on physics learning with a high effect interpretation. …”
Get full text

Water resource forecasting with machine learning and deep learning: A scientometric analysis by Chanjuan Liu, Jing Xu, Xi’an Li, Zhongyao Yu, Jinran Wu

“…By exploring this data, the research mapped out prevailing trends and cutting-edge areas, providing valuable insights for researchers and practitioners involved in water prediction through machine learning and deep learning. …”
Get full text

Optimizing DNA Sequence Classification via a Deep Learning Hybrid of LSTM and CNN Architecture by Elias Tabane, Ernest Mnkandla, Zenghui Wang

Subjects: Get full text

Compositional and Machine Learning Tools to Model Plant Nutrition: Overview and Perspectives by Léon Etienne Parent

Subjects: “…compositional data analysis…”
Get full text

Machine Learning-Based Approaches and Comparisons for Estimating Missing Meteorological Data and Determining the Optimum Data Set in Nuclear Energy Applications by Fatih Topaloglu

“…Good data analysis is required for the optimal design of nuclear energy projects. …”
Get full text

Toward learning steelmaking—A review on machine learning for basic oxygen furnace process by Maryam Khaksar Ghalati, Jianbo Zhang, G. M. A. M. El‐Fallah, Bogdan Nenchev, Hongbiao Dong

Get full text

Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models by Wei Chen, Haotian Zheng, Binglin Ye, Tiefeng Guo, Yude Xu, Zhibin Fu, Xing Ji, Xiping Chai, Shenghua Li, Qiang Deng

“…This study aimed to develop and validate biomarker-based predictive models for KOA diagnosis using machine learning techniques. Clinical data from 2594 samples were obtained and stratified into training and validation datasets in a 7:3 ratio. …”
Get full text

Deep Learning Reaction Framework (DLRN) for kinetic modeling of time-resolved data by Nicolò Alagna, Brigitta Dúzs, Vincent Dietrich, Ali Tayefeh Younesi, Livia Lehmann, Ronald Ulbricht, Heinz Köppl, Andreas Walther, Susanne Gerber

“…Abstract Model-based analysis is essential for extracting information about chemical reaction kinetics in full detail from time-resolved data sets. …”
Get full text

Rapid detection of honey adulteration using machine learning on gas sensor data by Mehmet MİLLİ, Nursel SÖYLEMEZ MİLLİ, İsmail Hakkı PARLAK

Get full text

A Comparison of Approaches for Handling Concept Drifts in Data Processed With Machine Learning by Emanuel Valerio Pereira, Wendley Souza da Silva

Get full text