Automated detection of submarine pipelines in the Yellow River Estuary: a deep learning approach for side-scan sonar data in dynamic deltaic systems by Min Wei, Min Wei, Yongqing Yu, Xing Du, Yupeng Song, Lifeng Dong, Qikun Zhou, Linfeng Wang, Longying Zhang, Yamei Wang

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Unsupervised Multivariate Time Series Data Anomaly Detection in Industrial IoT: A Confidence Adversarial Autoencoder Network by Jiahao Shan, Donghong Cai, Fang Fang, Zahid Khan, Pingzhi Fan

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LGR-Net: A Lightweight Defect Detection Network Aimed at Elevator Guide Rail Pressure Plates by Ruizhen Gao, Meng Chen, Yue Pan, Jiaxin Zhang, Haipeng Zhang, Ziyue Zhao

“…To improve the localization accuracy for small defects, we add a high-resolution small object detection layer (P2 layer) and integrate the Convolutional Block Attention Module (CBAM) to construct a four-scale feature fusion network. This study employs various data augmentation methods to construct a custom dataset for guide rail pressure plate defect detection. …”
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Wearable Sensor-Based Behavioral User Authentication Using a Hybrid Deep Learning Approach with Squeeze-and-Excitation Mechanism by Sakorn Mekruksavanich, Anuchit Jitpattanakul

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YOLO-SMUG: An Efficient and Lightweight Infrared Object Detection Model for Unmanned Aerial Vehicles by Xinzhe Luo, Xiaogang Zhu

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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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Ensemble Machine Learning Models Utilizing a Hybrid Recursive Feature Elimination (RFE) Technique for Detecting GPS Spoofing Attacks Against Unmanned Aerial Vehicles by Raghad Al-Syouf, Omar Y. Aljarrah, Raed Bani-Hani, Abdallah Alma’aitah

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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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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 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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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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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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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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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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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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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 Novel Multimodal Data Fusion Framework: Enhancing Prediction and Understanding of Inter-State Cyberattacks by Jiping Dong, Mengmeng Hao, Fangyu Ding, Shuai Chen, Jiajie Wu, Jun Zhuo, Dong Jiang

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