Data leakage detection in machine learning code: transfer learning, active learning, or low-shot prompting? by Nouf Alturayeif, Jameleddine Hassine

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Identity-based linear homomorphic signature for a restricted combiners’ group for e-commerce by Yuan Tian, Weitao Song, Tanping Zhou, Bin Hu, Xuan Zhou, Yujie Ding, Weidong Zhong, Xiaoyuan Yang

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Enhancing ESG Insights Using Machine Learning: A Case Study of Top Performing Banks in Indonesia by Dean Tirkaamiana, Satrio Samudro Aji Basuki

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Counteracting disinformation among young people. Psychometric properties of the disinformation bystander intervention model scale, demographic differences, and associations with em... by Sebastian Wachs, Maxime Kops, Estibaliz Mateos-Pérez, Manuel Gámez-Guadix

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Operating Protocol and Networking Issues of a Telemedicine Platform Integrating from Wireless Home Sensors to the Hospital Information System by Massimiliano Donati, Tony Bacchillone, Luca Fanucci, Sergio Saponara, Filippo Costalli

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Environmental risk assessment using FMEA and entropy based on TOPSIS method: a case study oil wells drilling by Negar Afzali Behbahani, Mazdak Khodadadi-Karimvand, Afarin Ahmadi

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The Importance of AI Data Governance in Large Language Models by Saurabh Pahune, Zahid Akhtar, Venkatesh Mandapati, Kamran Siddique

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Analysis of 5G Smart Communication Base Station Doppler-Smoothed Pseudorange Single-Point Geodesic Positioning Accuracy by Jianmin Wang, Yan Wang

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Exploring the “what” and “how” of opportunities and challenges of AI in EFL teacher education by Sina Omidvar, Hussein Meihami

“…To that end, we used descriptive narrative design in which we collected autobiographical narratives and conducted semi-structured interviews with 35 EFL teachers, four EFL teacher educators, and four computer engineers. Through inductive thematic analysis, we identified several opportunities, including professional, psychological, and economic benefits. …”
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Demystifying diagnosis: an efficient deep learning technique with explainable AI to improve breast cancer detection by Ahmed Alzahrani, Muhammad Ali Raza, Muhammad Zubair Asghar

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Does digital grabbing boost affectivity in less empathic users? An interactive approach to affective laterality: Empathy, hand dominance, and action-context shape pleasantness expe... by Sergio C. Torres

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MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling by Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács

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An early investigation of collaborative problem solving in conversational AI-mediated learning environments by Sinem Aslan, Nese Alyuz, Belle Li, Lenitra M. Durham, Meng Shi, Sangita Sharma, Lama Nachman

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A Comparison of Data Quality Frameworks: A Review by Russell Miller, Sai Hin Matthew Chan, Harvey Whelan, João Gregório

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Enhancing breast cancer prediction through stacking ensemble and deep learning integration by Fatih Gurcan

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Enhanced education on geology by 3D interactive virtual geological scenes by Yuan Fang, Yuxin Li, Lei Fan

“…Virtual Reality (VR) technology is a computer simulation system that leverages real-life data to create and immerse users in virtual worlds. …”
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Decoding PDI diversity: Insights into structure, domains, and functionality in sorghum by Carla F. López-Gómez, Marc T. Morris, Karen Massel, Millicent Smith, Peter Crisp, Gerhard Schenk, Ian D. Godwin

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Fantastic genes and where to find them expressed in CHO by Markus Riedl, Caterina Ruggeri, Nicolas Marx, Nicole Borth

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Analyzing the Synergy between HCI and TRIZ in Product Innovation through a Systematic Review of the Literature by Shaohan Chen, Khairul Manami Kamarudin, Shihua Yan

“…The boundary between tangible and digital products is getting more fused while rapidly evolving systems for interaction require novel processes that allow for rapidly developed designs, evaluations, and interaction strategies to facilitate efficient and unique user interactions with computer systems. …”
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Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques by Phan Thi Huong, Lam Thanh Hien, Nguyen Minh Son, Huynh Cao Tuan, Thanh Q. Nguyen

“…Key techniques such as depthwise separable convolutions, linear bottlenecks, and inverted residuals help reduce the number of parameters and computational load while maintaining high performance in feature extraction. …”
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