Multiclass Fault Diagnosis in Power Transformers Using Dissolved Gas Analysis and Grid Search-Optimized Machine Learning by Andrew Adewunmi Adekunle, Issouf Fofana, Patrick Picher, Esperanza Mariela Rodriguez-Celis, Oscar Henry Arroyo-Fernandez, Hugo Simard, Marc-André Lavoie

“…The performance of six machine learning classifiers was systematically evaluated using training and testing data generated through four widely recognized gas ratio schemes. …”
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Comparative Evaluation of Traditional Methods and Deep Learning for Brain Glioma Imaging. Review Paper by Kiranmayee Janardhan, Vinay Martin D’Sa Prabhu, T. Christy Bobby

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Factors Influencing the Active Engagement of Undergraduate EFL Students in Blended Learning: A Gender-Based Multigroup Analysis by Yanjun Yang, Jun Tan

“…Due to the rapid advancement of the Internet and technology, blended learning has gradually gained widespread acceptance among students, teachers, and educational institutions, emerging as the new norm in the post-pandemic era. …”
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A method for spatial interpretation of weakly supervised deep learning models in computational pathology by Abhinav Sharma, Bojing Liu, Mattias Rantalainen

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Deep learning-based analysis of 12-lead electrocardiograms in school-age children: a proof of concept study by Shuhei Toba, Yoshihide Mitani, Yusuke Sugitani, Yusuke Sugitani, Hiroyuki Ohashi, Hirofumi Sawada, Mami Takeoka, Naoki Tsuboya, Kazunobu Ohya, Noriko Yodoya, Takato Yamasaki, Yuki Nakayama, Hisato Ito, Masahiro Hirayama, Motoshi Takao

“…In this study, we aimed to develop and validate a deep learning-based model for automated analysis of ECGs in children.MethodsWave data of 12-lead electrocardiograms were transformed into a tensor sizing 2 × 12 × 400 using signal processing methods. …”
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Machine learning-based in-silico analysis identifies signatures of lysyl oxidases for prognostic and therapeutic response prediction in cancer by Qingyu Xu, Ling Ma, Alexander Streuer, Eva Altrock, Nanni Schmitt, Felicitas Rapp, Alessa Klär, Verena Nowak, Julia Obländer, Nadine Weimer, Iris Palme, Melda Göl, Hong-hu Zhu, Wolf-Karsten Hofmann, Daniel Nowak, Vladimir Riabov

“…We performed comprehensive machine learning-based bioinformatics analyses, including unsupervised consensus clustering, a total of 10 machine-learning algorithms for prognostic prediction and the Connectivity map tool for drug sensitivity prediction. …”
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A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware by Fandi Kurniawan, Deris Stiawan, Darius Antoni, Mohd Yazid Idris, Rahmat Budiarto

“…This study aims to develop a robust and efficient static analysis-based machine learning framework for early detection of Android malware. …”
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A Comparative Analysis of Different Machine Learning Algorithms Developed with Hyperparameter Optimization in the Prediction of Student Academic Success by Bahar Demirtürk, Tuba Harunoğlu

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An Analysis of Students' Mathematical Adaptive Reasoning: The Impact of Creative Problem-Solving (CPS) Learning Model and Entrepreneurial Character by Komarudin Komarudin, Nadiyah Nur Sukardi, Yuberti Yuberti, Muhamad Afandi, Feli Ramury

“…The sampling technique used was cluster random sampling. The data analysis technique employed was the two-way Anova test with a significance level of 0.05. …”
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Analysis of Speaking Skill Learning Difficulties in Students of the Arabic Language Education Study Program at State Islamic Institute by Sugirma Sugirma, M. Abdul Hamid, Agustang K.

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Machine learning analysis of factors contributing to hypotension after lumbosacral epidural anaesthesia in dogs undergoing abdominal surgery by Carlos Millán Parreño, Dominic Giles, Federico Corletto

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Sporting a virtual future: exploring sports and virtual reality patents using deep learning-based analysis by Jea Woog Lee, Sangmin Song, JungMin Yun, Doug Hyun Han, YoungBin Kim

“…We investigate the convergence of sports and emerging technologies from the Fourth Industrial Revolution, with a focus on virtual reality (VR) applications. Using patent big data, we introduce SportsBERT, a bidirectional encoder representation from transformers (BERT)-based algorithm tailored for enhanced natural language processing in sports-related knowledge-based documents. …”
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Improving Wind Turbine Gearbox Reliability: A Hybrid Deep Learning Approach Using Bispectrum Image Analysis by Muhammad Zacky Asy'Ari, Jun Kondoh, Benyamin Kusumoputro

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Analysis of Mathematics Learning Difficulties in V Graders of Elementary School of Fraction Material in Terms of Students' Cognitive Level by Putri Puspitasari, Aninditya Sri Nugraheni, Mulyani Mulyani

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Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques by Glenn Kong, Jian Peng, Jonathan Corcoran

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Machine Learning-Enhanced Analysis of Small-Strain Hardening Soil Model Parameters for Shallow Tunnels in Weak Soil by Tzuri Eilat, Alison McQuillan, Amichai Mitelman

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Equity challenges in academic satisfaction through online learning platforms and post-COVID implications using multigroup analysis by Fakhta Zeib, Rehan Tariq

“…The study adopts a quantitative method, and a survey was conducted with 404 respondents representing students and faculty members of leading universities in all provinces of Pakistan. The data set was measured using multi-group analysis. …”
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Enhancing elderly care services through integrated sentiment analysis and knowledge reasoning: A deep learning approach by Yongguan Ai, Shiwei Chu, Juan Wang, Nianfang Xu

“…This study proposes a pioneering integrated care model for elderly care service robots that integrates sentiment analysis and knowledge reasoning through a deep learning framework. …”
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Analysis of deep learning-based technological innovation governance on the intelligent allocation of innovation resources in the high-technology industry by Xiaoxuan Yu, Zhen Chen, Xinyu Zhang

“…A dataset is built based on multi-source data, and experiments are performed on a high-performance computing cluster. …”
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Real-time force/position control of soft growing robots: A data-driven model predictive approach by Kalibala Abdonoor, Nada Ayman A., Ishii Hiroyuki, El-Hussieny Haitham

“…In this article, we present a data-driven dynamic model for a pressure-driven everting vine robot, utilizing a deep neural network (DNN)-based discrete-time dynamic model. …”
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