A Human-Centric, Uncertainty-Aware Event-Fused AI Network for Robust Face Recognition in Adverse Conditions by Akmalbek Abdusalomov, Sabina Umirzakova, Elbek Boymatov, Dilnoza Zaripova, Shukhrat Kamalov, Zavqiddin Temirov, Wonjun Jeong, Hyoungsun Choi, Taeg Keun Whangbo

“…Complementing this, an Adaptive Spectral Attention mechanism dynamically reweights each stream to amplify the most reliable facial features in real time. Unlike previous efforts that compartmentalize uncertainty handling, spectral blending, or computational thrift, HUE-Net unites all three in a lightweight package. …”
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DeepGuard: Enhancing Violence Detection in Smart Cities Through Deep Learning by Md. Al-Mamun Provath, Musfequa Rahman, Kaushik Deb, Pranab Kumar Dhar, Tetsuya Shimamura

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A Hybrid CNN-LSTM Model With Attention Mechanism for Improved Intrusion Detection in Wireless IoT Sensor Networks by Pendukeni Phalaagae, Adamu Murtala Zungeru, Abid Yahya, Boyce Sigweni, Selvaraj Rajalakshmi

“…The framework’s resilience and adaptability underscore its potential for enhancing network security in real-world IoT applications by addressing evolving threats and computational constraints.…”
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CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People by Fahad Ashiq, Muhammad Asif, Maaz Bin Ahmad, Sadia Zafar, Khalid Masood, Toqeer Mahmood, Muhammad Tariq Mahmood, Ik Hyun Lee

“…The application uses MobileNet architecture due to its low computational complexity to run on low-power end devices. …”
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A multi-view graph neural network approach for magnetic resonance imaging-based diagnosis of knee injuries by Biyong Deng, Jiashan Pan, Xiaoyu Tang, Haitao Fu, Shushan Hu

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FISNET: A Learnable Fusion-Based Iris Segmentation Network Improving Robustness Across NIR and VIS Modalities by Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra

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A Novel Ensemble of Deep Learning Approach for Cybersecurity Intrusion Detection with Explainable Artificial Intelligence by Abdullah Alabdulatif

“…The framework is deployed using a Flask-based web interface in the Amazon Elastic Compute Cloud environment, capturing live network traffic and offering sub-second inference with visual alerts. …”
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Cryptographic key generation using deep learning with biometric face and finger vein data by Tsehayu Gizachew Yirga, Hailu Gizachew Yirga, Eshetie Gizachew Addisu

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Overview of the technologies of threat intelligence sensing,sharing and analysis in cyber space by Jian-hua LI

“…With a rapid development of information technologies including big data,cloud computing,Internet of things,etc.,the threats in cyber space also become more ubiquitous and complex.Moreover,more and more persis-tence and hidden features present in all kinds of network attacks.Threat intelligence based network defense can analyze the undergoing attacks and predict the threat situation in the future.Furthermore,based on the potential risk,users can define efficient security policy,thus the defense capabilities of the cyber space could be enhanced system-atically.Threat intelligence is a very wide research area.The research works and developments of the sensing,shar-ing and analysis for threat intelligence were studied and reviewed deeply.…”
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DDoS Attack Detection in SDN-Assisted Federated Learning Environment Based on Contrastive Learning by Minghong Fan, Jinghua Lan, Yiyi Zhou, Mengshuang Pan, Junrong Li, Daqiang Zhang

“…Software-defined networking (SDN)-assisted federated learning (FL) is an emerging network computing environment. …”
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A Novel Dangerous Goods Detection Network Based on Multi-Layer Attention Mechanism in X-Ray Baggage Images by Xu Yang, Ting Lan, Yili Xu

“…The automatic detection of dangerous goods in X-ray baggage images is a crucial task in the field of industrial security. This paper proposes a novel dangerous goods detection network (DGDN) designed to address the challenges of detecting dangerous goods in complex X-ray baggage images. …”
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Analysis of the structural reliability of communication networks supporting protective switching mechanisms for one protected section and one backup section by K. А. Batenkov, A. B. Fokin

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AI-Powered System for an Efficient and Effective Cyber Incidents Detection and Response in Cloud Environments by Mohammed Ashfaaq M. Farzaan, Mohamed Chahine Ghanem, Ayman El-Hajjar, Deepthi N. Ratnayake

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DeepContainer: A Deep Learning-based Framework for Real-time Anomaly Detection in Cloud-Native Container Environments by Ke Xiong, Zhonghao Wu,  Xuzhong Jia

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Channel and Spatial Attention in Chest X-Ray Radiographs: Advancing Person Identification and Verification with Self-Residual Attention Network by Hazem Farah, Akram Bennour, Neesrin Ali Kurdi, Samir Hammami, Mohammed Al-Sarem

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Optimal Fuzzy Deep Neural Networks-Based Plant Disease Detection and Classification on UAV-Based Remote Sensed Data by M. Pajany, S. Venkatraman, U. Sakthi, M. Sujatha, Mohamad Khairi Ishak

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Few-shot relation extraction approach for threat intelligence based on multi-level attention mechanism and hybrid prototypical network by Yushun Xie, Junchi Bao, Rui Zong, Zhaoquan Gu, Haiyan Wang

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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…Current anomaly detection methods in healthcare systems, such as artificial intelligence and big data analytics-intracerebral hemorrhage (AIBDA-ICH) and parallel conformer neural network (PCNN), face several challenges, including high resource consumption, inefficient feature selection, and an inability to handle temporal data effectively for real-time monitoring. …”
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SoK: A Reality Check for DNP3 Attacks 15 Years Later by Juan David Parra Rodriguez, Kwasi Boakye-Boateng, Ratinder Kaur, Allyson Zhou, Rongxing Lu, Ali A. Ghorbani

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Dual-Attention-Enhanced MobileViT Network: A Lightweight Model for Rice Disease Identification in Field-Captured Images by Meng Zhang, Zichao Lin, Shuqi Tang, Chenjie Lin, Liping Zhang, Wei Dong, Nan Zhong

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