Deep learning for the classification of atrial fibrillation using wavelet transform-based visual images by Ling-Chun Sun, Chia-Chiang Lee, Hung-Yen Ke, Chih-Yuan Wei, Ke-Feng Lin, Shih-Sung Lin, Hsin Hsiu, Ping-Nan Chen

“…Conclusions Training deep learning machines for the classification of AF with MsCWT-based images demonstrated to yield favorable outcomes and achieved superior performance amongst studies utilizing the same dataset. …”
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Machine learning-based analyses of contributing factors for the development of hypertension: a comparative study by Marenao Tanaka, Yukinori Akiyama, Kazuma Mori, Itaru Hosaka, Keisuke Endo, Toshifumi Ogawa, Tatsuya Sato, Toru Suzuki, Toshiyuki Yano, Hirofumi Ohnishi, Nagisa Hanawa, Masato Furuhashi

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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

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Risk factors associated with children learning disorders at school: a socio-medical problem. by Beatriz Sabina Roméu, Zenaida María Saéz, Margarita Roméu Escobar

“…Study group: 42 children presenting learning difficulties as to their teacher´s opinion. …”
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Investigation of high school students’ social emotional learning skills and social media use by Harun Şahin, Meriç Eraslan, Muhammed Ali Özkan

Subjects: “…social emotional learning…”
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Develop Approach to Predicate Software Reliability Growth Model Parameters Based on Machine learning by anfal A. Fadhil, Asmaa’ H. AL_Bayati, Ibrahim Ahmed Saleh

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Machine-Learning-Driven Identification of Electrical Phases in Low-Sampling-Rate Consumer Data by Dilan C. Hangawatta, Ameen Gargoom, Abbas Z. Kouzani

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Strategic integration of technology to foster students’ learning outcomes and motivation in legal English lessons by La Nguyen Binh Minh

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Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications by Saeed Hamood Alsamhi, Ammar Hawbani, Alexey V. Shvetsov, Santosh Kumar

“…The intersection of Federated Learning (FL) and Healthcare 5.0 promises a transformative shift towards a more resilient future, particularly concerning pandemic preparedness. …”
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Improving Bahasa Indonesia writing skill: a project-based learning experimental study by Lisdwiana Kurniati, Wuri Syaputri, Yudi Efendi, Rohmah Tussolekha, Dessy Saputry

“…This study examines the effectiveness of project-based learning (PBL) in improving the academic writing skills of sixth-semester Bahasa Indonesia students at Universitas Muhammadiyah Pringsewu. …”
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Mengasah Kepedulian Siswa terhadap Efek Limbah Plastik melalui Project Based Learning by Martini Martini, Yush Nawwir, Samsuddin Kade, Ainul Alim Rahman, Kasma F. Amin

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Research on Orbital Angular Momentum Mode Detection in an Atmospheric Environment with Fusion Transfer Learning by Chenghu Ke, Youmei Chen, Xizheng Ke

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Enhancing professional development for Third Space roles: reflections on the added value of Learning Circles by Linde Moriau, Réka Matolay, Emma McKenna, Andrea Toarniczky, Judit Gáspár, Márta Frigyik, Catherine Bates

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Performance Evaluation of Machine Learning Models for Predicting Energy Consumption and Occupant Dissatisfaction in Buildings by Haidar Hosamo, Silvia Mazzetto

Subjects: “…machine learning models…”
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Integrating Radar-Based Obstacle Detection with Deep Reinforcement Learning for Robust Autonomous Navigation by Nabih Pico, Estrella Montero, Maykoll Vanegas, Jose Miguel Erazo Ayon, Eugene Auh, Jiyou Shin, Myeongyun Doh, Sang-Hyeon Park, Hyungpil Moon

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Application of deep learning techniques for analysis and prediction of particulate matter at Kota city, India by Lovish Sharma, Hajari Singh, Mahendra Pratap Choudhary

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Economic Development Trend Prediction Model Based on Unsupervised Learning in the Internet of Things Environment by Min Kuang

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Lipid Rafts in Signalling, Diseases, and Infections: What Can Be Learned from Fluorescence Techniques? by Sara Anselmo, Elisa Bonaccorso, Chiara Gangemi, Giuseppe Sancataldo, Valeria Conti Nibali, Giovanna D’Angelo

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The instrumental value of advance directives: lesson learned from the COVID-19 pandemic for policymaking by Elisabeth Stock, Christian H. Nickel, Bernice S. Elger, Andrea Martani

“…We show, with particular reference to lessons learned from the COVID-19 pandemic, that AD are instrumentally valuable in that they: (1) allow to thematise death; (2) ensure that overtreatment is avoided; (3) enable to better respect the wish of people to die at their preferred place; (4) help revive the “lost skill” of prognostication. …”
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Deep learning for enhanced risk management: a novel approach to analyzing financial reports by Xiangting Shi, Yakang Zhang, Manning Yu, Lihao Zhang

Subjects: “…Deep learning…”
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