Application of Machine Learning to Background Rejection in Very-high-energy Gamma-Ray Observation by Jie Li, Hongkui Lv, Yang Liu, Jiajun Huang, Yu Wang, Wenbin Lin

“…Based on the simulated data from the square kilometer array (KM2A) of LHAASO, eight high-level features were extracted for the gamma/hadron classification. Machine learning (ML) models, including logistic regression, support vector machines, decision trees, random forests, XGBoost, CatBoost, and deep neural networks (DNN) were constructed and trained using data sets of four energy bands ranging from 10 ^12 to 10 ^16 eV, and finally fused using the stacking ensemble algorithm. …”
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Improving Industrial Quality Control: A Transfer Learning Approach to Surface Defect Detection by Ângela Semitela, Miguel Pereira, António Completo, Nuno Lau, José P. Santos

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Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data by Youssra Cheriguene, Wael Jaafar, Halim Yanikomeroglu, Chaker Abdelaziz Kerrache

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FROM MICRO CULTURE OF LEARNING TO REGIONAL NEEDS: DEVELOPMENT OF INTERNATIONAL SOCIAL ENTREPRENEURSHIP COURSE by Heidi Myyryläinen, Wilfred Ledoux Tchasse Simo

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The dynamic duo: cryo-EM teams up with machine learning to visualize biomolecules in motion by Beatrice Bowlby

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Deep Learning Model for Predicting Spreading Rates of Pandemics, “COVID-19 as Case Study” by Maha A. Al-Bayati

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Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro-Larynx Device by Zinah J. Mohammed Ameen, Abdulkareem Abdulrahman Kadhim

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Enhancing the Achievement of Learning Outcomes for Foreign Language Learners Based on Gamification and Card Games by Yasmeen Alomair, Salah Hammami

“…Gamification and card games have gained increased popularity across diverse educational domains, particularly in the field of foreign language learning (FLL). They offer potent tools that can transform the learning process into an engaging, interactive, and enjoyable experience. …”
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A machine learning based algorithm accurately stages liver disease by quantification of arteries by Zhengxin Li, Xin Sun, Zhimin Zhao, Qiang Yang, Yayun Ren, Xiao Teng, Dean C. S. Tai, Ian R. Wanless, Jörn M. Schattenberg, Chenghai Liu

Subjects: “…Machine learning…”
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Prediction of cardiovascular disease from factors associated with waist hip ratio by machine learning by Zeynep Kucukakcali, Ipek Balikci Cicek

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Physics-Constrained Deep Learning for Security Ink Colorimetry with Attention-Based Spectral Sensing by Po-Tong Wang, Chiu Wang Tseng, Li-Der Fang

Subjects: “…physics-constrained deep learning…”
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A Deep Learning-Based Time-Frequency Scheme for Ship Detection Using HFSWR by Da Huang, Hao Zhou, Yingwei Tian, Zhiqing Yang, Weimin Huang

Subjects: “…Deep learning (DL)…”
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Interpretable machine learning model of effective mass in perovskite oxides with cross-scale features by Changjiao Li, Zhengtao Huang, Hua Hao, Zhonghui Shen, Guanghui Zhao, Ben Xu, Hanxing Liu

Subjects: “…Machine learning…”
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Enhancing student nurses’ ethical skills via simulation-based learning: barriers and opportunities by Richard M. Rasesemola, Manoko P. T. Molabe

“…While the theme transformative approaches to fostering ethical competency through simulation– based learning indicated some strategies that facilitators could adopt to ensure efficient ethics education for nursing students. …”
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Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension by Chenxi Li, Jipeng Xue, Dongchen Zhou, Xiaomeng Qi, Ting Chen, Zhoubin Li

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Diegif: An efficient and secured DICOM to EGIF conversion framework for confidentiality in machine learning training by Abdullah Al Siam, Md Maruf Hassan, Md Atikur Rahaman, Masuk Abdullah

“…The framework comprises four key components: (1) converting DICOM files to GIF format with encryption, (2) decrypting EGIF files for processing, (3) enabling confidentiality-preserving machine learning training using EGIF data, and (4) facilitating physician diagnosis and report generation based on trained machine learning models. …”
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A comparative machine learning study of schizophrenia biomarkers derived from functional connectivity by Victoria Shevchenko, R. Austin Benn, Robert Scholz, Wei Wei, Carla Pallavicini, Ulysse Klatzmann, Francesco Alberti, Theodore D. Satterthwaite, Demian Wassermann, Pierre-Louis Bazin, Daniel S. Margulies

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Web-Based Specialist Support for Spinal Cord Injury Person’s Care: Lessons Learned by Vincenzo Della Mea, Dario Marin, Claudio Rosin, Agostino Zampa

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Gamification Assisted Language Learning for Japanese Language Using Expert Point Cloud Recognizer by Yogi Udjaja

“…Therefore, a game is needed that allows one to understand Japanese using Gamification Assisted Language Learning (GALL) method, involving the introduction of Japanese language implementation using expert point cloud ($EP) recognizer. …”
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A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements by Ankur Srivastava, Andrew J. Meade

“…Use of probabilistic techniques has been demonstrated to learn air data parameters from surface pressure measurements. …”
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