BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs by Youngbin Kim, Kunlun Wang, Roberta I. Lock, Trevor R. Nash, Sharon Fleischer, Bryan Z. Wang, Barry M. Fine, Gordana Vunjak-Novakovic

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Retracted: Application of Visual Guidance Design of Tourist City Combined with Deep Learning Computer Visual Symbols by Journal of Function Spaces

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Resource Allocation in D2D-Enabled 5G Networks Using Multiagent Reinforcement Learning by Kwame Opuni-Boachie Obour Agyekum, Alex Yaw Boakye, Benedict Appati, Jochebed Akoto Opoku, Justice Owusu Agyemang, Gordon Owusu Boateng, James Dzisi Gadze

“…This allows agents to learn from each other’s mistakes and avoid local minima. …”
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A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning by Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

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Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete by Miljan Kovačević, Marijana Hadzima-Nyarko, Predrag Petronijević, Tatijana Vasiljević, Miroslav Radomirović

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Enhancing Pipeline Reliability Analysis through Machine Learning: A Focus on Corrosion and Fluid Hammer Effects by Ajinkya Zalkikar, Bimal Nepal, Mani Venkata Rakesh Mutyala, Anika Varshney, Lianne Dsouza, Hazlina Husin, Om Prakash Yadav

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Integrating Human Learning Factors and Bayesian Analysis Into Software Reliability Growth Models for Optimal Release Strategies by Chih-Chiang Fang, Liping Ma, Wenfeng Kuo

“…The model also considers the efficiency of the debugging process, which can be influenced by factors such as the testing team’s learning curve and human error. By integrating these human elements and the intrinsic characteristics of the debugging process, the model becomes more comprehensive and realistic. …”
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Retraction: Bone age assessment based on deep convolutional features and fast extreme learning machine algorithm by Frontiers Editorial Office

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Deep Learning-Enabled Automatic Detection of Bridges for Promoting Transportation Surveillance under Different Imaging Conditions by Peng Han, Xiaoxia Yang

“…We then investigate how to further promote the deep learning-based bridge detection methods through the manually generated dataset. …”
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A Comparative Study of Cross-Device Finger Vein Recognition Using Classical and Deep Learning Approaches by Tuğçe Arıcan, Raymond Veldhuis, Luuk Spreeuwers, Loïc Bergeron, Christoph Busch, Ehsaneddin Jalilian, Christof Kauba, Simon Kirchgasser, Sébastien Marcel, Bernhard Prommegger, Kiran Raja, Raghavendra Ramachandra, Andreas Uhl

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Photometric Selection of Type 1 Quasars in the XMM-LSS Field with Machine Learning and the Disk–Corona Connection by Jian Huang, Bin Luo, W. N. Brandt, Ying Chen, Qingling Ni, Yongquan Xue, Zijian Zhang

“…We utilized the XGBoost machine learning method to select a total of 1591 quasars. …”
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Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery by Kai Chen, Xiao Zhai, Ziqiang Chen, Haojue Wang, Mingyuan Yang, Changwei Yang, Yushu Bai, Ming Li

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The organisation of the educational process in the distance learning format in the frontline territories during the period of martial law in Ukraine by O. Plakhotnyk, S. Burian

Subjects: “…remote learning…”
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Students’ Online Learning Adoption during an Emergency Situation: Integrating the Self-Determination and Perceived Risk Theories by Sheng-Ju Chan, Thi Xuan Nong, Thi Thanh Truc Nguyen

“…More specifically, it is aimed at exploring how online communication self-efficacy, online learning belonging, and perceived risk predict students’ online learning adoption. …”
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Accelerating the design and discovery of tribocorrosion-resistant metals by interfacing multiphysics modeling with machine learning and genetic algorithms by Yucong Gu, Kaiwen Wang, Zhengyu Zhang, Yi Yao, Ziming Xin, Wenjun Cai, Lin Li

“…Addressing this complexity, our study develops a novel methodology fusing machine-learning (ML) and genetic algorithm (GA)-based optimization techniques to tailor aluminum-based alloys for enhanced tribocorrosion resistance. …”
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Hybrid machine learning-based 3-dimensional UAV node localization for UAV-assisted wireless networks by Workeneh Geleta Negassa, Demissie J. Gelmecha, Ram Sewak Singh, Davinder Singh Rathee

Subjects: “…Hybrid machine learning…”
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Developing a Prototype Machine Learning Model to Predict Quality of Life Measures in People Living With HIV by Mercadal-Orfila G, Serrano López de las Hazas J, Riera-Jaume M, Herrera-Perez S

Subjects: “…machine-learning in healthcare…”
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Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data by Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali

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Voice analysis and deep learning for detecting mental disorders in pregnant women: a cross-sectional study by Hikaru Ooba, Jota Maki, Hisashi Masuyama

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Uji Kelayakan Panduan Praktikum Perkembangan Hewan Berbasis Project Based Learning Pada Materi Regenerasi by Novia Anggraini, Jodion Siburian, Winda Dwi Kartika

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