Sensitivity of Spiking Neural Networks Due to Input Perturbation by Haoran Zhu, Xiaoqin Zeng, Yang Zou, Jinfeng Zhou

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Source-Free Domain Adaptation Framework for Rotary Machine Fault Diagnosis by Hoejun Jeong, Seungha Kim, Donghyun Seo, Jangwoo Kwon

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Students’ experience and learning outcomes in multisensory environments: the moderating role of interaction modalities by Giulia Cosentino, Mirko Gelsomini, Kshitij Sharma, Michail Giannakos

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Control of a fixed wing unmanned aerial vehicle using a robust fractional order controller by Enanwo Wondem Metekia, Wubshet Ayalew Asfaw, Chala Merga Abdissa, Lebsework Negash Lemma

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Local Balance and Information Aggregation: A Method for Identifying Central Influencers in Networks by Lidong Fu, Guoxian Ma, Zengfa Dou, Yun Bai, Xi Zhao

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Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments by G. Nalinipriya, S. Rama Sree, K. Radhika, E. Laxmi Lydia, Faten Khalid Karim, Mohamad Khairi Ishak, Samih M. Mostafa

“…Extensive experiments were conducted to evaluate the overall robustness of the proposed XAIDM-CTLSN method using the NSLKDD2015 and CICIDS2017 datasets. …”
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Gradual Variation-Based Dual-Stream Deep Learning for Spatial Feature Enhancement With Dimensionality Reduction in Early Alzheimer’s Disease Detection by Najmul Hassan, Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

“…Recently, many researchers have been developing computer-aided AD recognition systems using various technologies. …”
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Enhancing Drought Forecast Accuracy Through Informer Model Optimization by Jieru Wei, Wensheng Tang, Pakorn Ditthakit, Jiandong Shang, Hengliang Guo, Bei Zhao, Gang Wu, Yang Guo

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Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations by Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal

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Semantic web-based ontology: a comprehensive framework for cardiovascular knowledge representation by Sabahat Sabir, Fahad Maqbool, Muhammad Saad Razzaq, Dilawar Shah, Shujaat Ali, Muhammad Tahir, Hafiz Muhammad Faisal Shehzad

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The Insights Gained during the Development of a Personalised Nutrition Mobile App by Barbara Koroušić Seljak, Matevž Ogrinc, Andraž Simčič, Eva Valenčič, Robert Modic, Gordana Ispirova, Tome Eftimov

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A flexible multi-agent system for managing demand and variability in hybrid energy systems for rural communities by Ehab S. Ali, M. H. Elkholy, Tomonobu Senjyu, Sahar M. Abd Elazim, Emad S. Hassan, Zuhrir Alaas, Mohammed Elsayed Lotfy

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Barrio-Level Assessment of Solar Rooftop Energy and Initial Insights into Energy Inequalities in Puerto Rico by Carlos A. Peña-Becerra, Willian A. Pacheco-Cano, Daniel F. Aragones-Vargas, Agustín Irizarry-Rivera, Marcel Castro-Sitiriche

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Fiber Sensing in the 6G Era: Vision Transformers for <i>ϕ</i>-OTDR-Based Road-Traffic Monitoring by Robson A. Colares, Leticia Rittner, Evandro Conforti, Darli A. A. Mello

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Multi-Scale Vision Transformer with Optimized Feature Fusion for Mammographic Breast Cancer Classification by Soaad Ahmed, Naira Elazab, Mostafa M. El-Gayar, Mohammed Elmogy, Yasser M. Fouda

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A 3D Genome Atlas of Genetic Variants and Their Pathological Effects in Cancer by Li Tang, Matthew C. Hill, Mingxing He, Junhao Chen, Zirui Wang, Patrick T. Ellinor, Min Li

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Arabic Fake News Dataset Development: Humans and AI-Generated Contributions by Hanen Himdi, Nuha Zamzami, Fatma Najar, Mada Alrehaili, Nizar Bouguila

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A multimodal functional structure-based graph neural network for fatigue detection by Dongrui Gao, Zhihong Zhou, Zongyao Peng, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

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Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning by Francisco Javier Saez-Maldonado, Luz Garcia, Lee A. D. Cooper, Jeffery A. Goldstein, Rafael Molina, Aggelos K. Katsaggelos

“…However, for their deployment in real scenarios, they must be able to detect the presence of previously unseen tissues or artifacts, the so-called Out-of-Distribution (OOD) samples. This would allow Computer Assisted Diagnosis systems to flag samples for additional quality or content control. …”
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Automated Class Imbalance Learning via Few-Shot Multi-Objective Bayesian Optimization With Deep Kernel Gaussian Processes by Zhaoyang Wang, Shuo Wang, Damien Ernst, Chenguang Xiao

“…However, real-world applications often involve multiple, conflicting objectives&#x2014;such as predictive performance and computational cost&#x2014;that must be jointly optimized. …”
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