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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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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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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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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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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Optimized disease prediction in healthcare systems using HDBN and CAEN framework by G. Prabaharan, S.M. Udhaya Sankar, V. Anusuya, K. Jaya Deepthi, Rayappan Lotus, R. Sugumar

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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

“…In the network, a multilevel refinement (MR) module is designed to improve multi-level feature representation, enabling the network to capture varied goods sizes and overlapping structures effectively. …”
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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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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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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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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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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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Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks by Kenan Honore Robacky Mbongo, Kanwal Ahmed, Orken Mamyrbayev, Guanghui Wang, Fang Zuo, Ainur Akhmediyarova, Nurzhan Mukazhanov, Assem Ayapbergenova

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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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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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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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DS-YOLO: A dense small object detection algorithm based on inverted bottleneck and multi-scale fusion network by Hongyu Zhang, Guoliang Li, Dapeng Wan, Ziyue Wang, Jinshun Dong, Shoujun Lin, Lixia Deng, Haiying Liu

“…Firstly, to enhance the dense small objects’ feature extraction capability of backbone network, the paper proposes a lightweight backbone. …”
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An Intrusion Detection System over the IoT Data Streams Using eXplainable Artificial Intelligence (XAI) by Adel Alabbadi, Fuad Bajaber

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