Learning and Characterizing Chaotic Attractors of a Lean Premixed Combustor by Sara Navarro-Arredondo, Jim B. W. Kok

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Fault Detection in Power Transformers Using Frequency Response Analysis and Machine Learning Models by Ncedo S. Maseko, Bonginkosi A. Thango, Nkateko Mabunda

“…This study investigates the application of machine learning (ML) techniques in transformer fault detection using Frequency Response Analysis (FRA) data. …”
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Machine Learning Algorithms in EEG Analysis of Kleefstra Syndrome: Current Evidence and Future Directions by Katerina D. Tzimourta

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The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review by Carlos Merino-Campos

“…This systematic review follows the PRISMA guidelines to ensure transparency in study selection, data extraction, and synthesis. The findings of the review are synthesized to examine how AI-driven solutions enhance adaptive learning, improve student engagement, and streamline administrative processes. …”
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Diagnosing schizophrenia with routine blood tests: a comparative analysis of machine learning algorithms by Yavuz Selim Ogur, Ayse Erdogan Kaya, Nur Banu Ogur, Beyza Erdogan Akturk

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Students' Perception Analysis on the Implementation of Case Method in General Physics and Teaching and Learning Courses by Yudi Pratama, Dios Sarkity

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A SERVQUAL-based gap analysis in higher education: Basis for online learning improvement by Eufrosina P. Mines, Albeb Q. Taray, Quennie A. Cunanan

“…This study provides a data-driven foundation for improving online learning systems using SERVQUAL analysis, offering actionable insights for higher education institutions, policymakers, and educators to enhance the quality and effectiveness of digital learning environments.…”
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Predicting Mobile Payment Behavior Through Explainable Machine Learning and Application Usage Analysis by Myounggu Lee, Insu Choi, Woo-Chang Kim

“…An analysis of extensive panel data from Korean Android users reveals that incorporating application usage behavior in such models considerably improves the accuracy of mobile payment predictions. …”
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Evaluation of machine learning methods for prediction of heart failure mortality and readmission: meta-analysis by Hamed Hajishah, Danial Kazemi, Ehsan Safaee, Mohammad Javad Amini, Maral Peisepar, Mohammad Mahdi Tanhapour, Arian Tavasol

“…We conducted a systematic search in PubMed, Scopus, and Web of Science databases using specific keywords related to heart failure, machine learning, mortality and readmission. Extracted data focused on study characteristics, machine learning details, and outcomes, with AUC or c-index used as the primary outcomes for pooling analysis. …”
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ALE interpretability analysis based on machine learning MOFs adsorption of tetracycline antibiotics in water by Zhang Canhui, Wang Sitan

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Analysis of students’ mathematical communication skills in web-based geometry in space and plane learning by Nanang Priatna, Effie EfridaMuchlis, Syafdi Maizora

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Automating areas of interest analysis in mobile eye tracking experiments based on machine learning by Julian Wolf, Stephan Hess, David Bachmann, Quentin Lohmeyer, Mirko Meboldt

“…For an in-depth, AOI-based analysis of mobile eye tracking data, a preceding gaze assignment step is inevitable. …”
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EXPLORATION OF THE USE OF DIGITAL STORYTELLING IN SOCIAL STUDIES LEARNING: A BIBLIOMETRIC ANALYSIS STUDY by Muhammad Rijal Fadli, Imam Santosa, Khusnul Fatonah, Harlinda Syofyan, Vjollca Jonuzi

“…This study aims to fill this gap by exploring publication patterns, research trends, and collaborations related to the use of digital storytelling in elementary school social studies learning. Methodology – This study uses a quantitative method with a bibliometric analysis design to identify publication patterns, research trends, and collaboration networks based on quantitative data from journals and scientific articles. …”
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ENTREPRENEURIAL ORIENTATION AND SME PERFORMANCE: A SEQUENTIAL MEDIATION ANALYSIS OF MARKET AND LEARNING ORIENTATIONS by Yassin Allammari, Ahmed Taqi, Nadir El Morabit

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Robust Drone Video Analysis for Occluded Urban Traffic Monitoring Based on Deep Learning by Carlos Gellida-Coutino, Reyes Rios-Cabrera, Alan Maldonado-Ramirez, Anand Sanchez-Orta

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Integrating non-target analysis and machine learning: a framework for contaminant source identification by Peng Liu, Ding Pan, Xin-Yi Jiao, Ji-Ning Liu, Peng-Hui Du, Peng-Cheng Li, Meng-Zhu Xue, Yan-Chao Jin, Cai-Shan Wang, Xue-Rong Wang, Ying-Zhi Ding, Guang-Ning Zhu, Jing-Hao Yang, Wen-Ze Wu, Lu-Feng Liang, Xin-Hui Liu, Li-Ping Li

“…Abstract Machine learning-based non-target analysis (ML-based NTA) faces the critical challenge of linking complex chemical signals to contamination sources. …”
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Epileptic Seizure Detection Using Machine Learning: A Systematic Review and Meta-Analysis by Lin Bai, Gerhard Litscher, Xiaoning Li

“…This meta-analysis reviews the performance of ML models in seizure detection and analyzes factors such as the model type (deep learning vs. traditional ML), data preprocessing methods, and dataset types. …”
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A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy by Kyungdoe Han, Eunhee Kim, Kyoung-Seok Ryu, Donghan Lee

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A Comparative Analysis of Single and Multi-View Deep Learning for Cybersecurity Anomaly Detection by Min Li, Yuansong Qiao, Brian Lee

“…This paper investigates the application of Deep Multi-View Learning (DMVL) to enhance the responsiveness of intrusion detection systems (IDS) in modern network environments, addressing the limitations of traditional IDS. …”
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Deep learning for COVID-19 by X-ray images Analysis and Designing Diagnostic Application by Thamer Khaleel, Ali Kalakech

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