A correlation-based binary particle swarm optimization method for feature selection in human activity recognition by Huaijun Wang, Ruomeng Ke, Junhuai Li, Yang An, Kan Wang, Lei Yu

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Efficient Method for Robust Backdoor Detection and Removal in Feature Space Using Clean Data by Donik Vrsnak, Marko Subasic, Sven Loncaric

“…This method can detect and reconstruct the feature representation of the possible triggers used in attacking the neural network. …”
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Physical layer security analysis using radio frequency‐fingerprinting in cellular‐V2X for 6G communication by Hina Ayaz, Ghulam Abbas, Muhammad Waqas, Ziaul Haq Abbas, Muhammad Bilal, Ali Nauman, Muhammad Ali Jamshed

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MACHINE LEARNING BASED STRATEGY FOR MITM ATTACK MITIGATION UTILIZING HYBRID FEATURE SELECTION by Pratik Kumar Swain, Suneeta Satpathy, Srinivasa Rao Pokuri

“…Effective detection techniques are necessary due to the considerable threat posed by Man-in-the-Middle (MITM) attacks to network security. This study integrates machine learning classification, dimensionality reduction, and hybrid feature selection to present a novel approach for MITM threat identification. …”
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Key Technology of Communication Equipment Fingerprint Recognition Based on Intelligent Feature Extraction Algorithm by Meizhen Gao, Yunquan Li, Yetong Gao

“…The technology is of great significance in electronic countermeasures, wireless network security, and other fields and has been widely studied in recent years. …”
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RFID Privacy Risk Evaluation Based on Synthetic Method of Extended Attack Tree and Information Feature Entropy by Peng Li, Chao Xu, Long Chen, Ruchuan Wang

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A systematic review of features and content quality of Arabic mental mHealth apps by Noorah Ibrahim S. Alnaghaimshi, Noorah Ibrahim S. Alnaghaimshi, Mona S. Awadalla, Scott R. Clark, Mathias Baumert

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Enhancing Security in CPS Industry 5.0 using Lightweight MobileNetV3 with Adaptive Optimization Technique by Mohammed A. Aleisa

“…The strategy guarantees strong protection for industrial processes in a networked, intelligent environment. This study offers a sophisticated paradigm for improving Cyber-Physical Systems (CPS) security in Industry 5.0 by combining effective data preprocessing, thin edge computing, and strong encryption methods. …”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Further, related ethical issues with respect to privacy, data security, and machine learning model biases need to be much more proclaimed to responsibly apply research on emotions to areas such as healthcare, human–computer interaction, and marketing. …”
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A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network by Jafar A. Alzubi, Kiran Sree Pokkuluri, Rajesh Arunachalam, Surendra Kumar Shukla, Sumanth Venugopal, Karthikayen Arunachalam

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Elastic regularization networks for enhanced UAV visual tracking by Qingjiao Meng, Ji Li, Yan Jin, Zhaotian Deng

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Enhancing MANET Security Through Long Short-Term Memory-Based Trust Prediction in Location-Aided Routing Protocols by Saad Mohsen Hassan, Mohd Murtadha Mohamad, Farkhana Binti Muchtar

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Design and implementation of J2EE-based statement feature recognition in English teaching system optimization by Lina Wang

“…With the development of Internet technology, network English teaching system came into being and developed rapidly. …”
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Video Anomaly Detection Methods: a Survey by WU Peichen, YUAN Lining, GUO Fang, LIU Zhao

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Steganalysis Using KL Transform and Radial Basis Neural Network by Safwan Hasoon, Farhad Khalifa

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A novel federated learning approach for IoT botnet intrusion detection using SHAP-based knowledge distillation by Md. Alamgir Hossain, Sadman Saif, Md. Saiful Islam

“…Each IoT client trains locally on its unique, heterogeneous data, computes SHAP values to quantify feature relevance, and shares only distilled feature knowledge with the central server. …”
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Cucumber Leaf Segmentation Based on Bilayer Convolutional Network by Tingting Qian, Yangxin Liu, Shenglian Lu, Linyi Li, Xiuguo Zheng, Qingqing Ju, Yiyang Li, Chun Xie, Guo Li

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FinSafeNet: securing digital transactions using optimized deep learning and multi-kernel PCA(MKPCA) with Nyström approximation by Ahmad Raza Khan, Shaik Shakeel Ahamad, Shailendra Mishra, Mohd Abdul Rahim Khan, Sunil Kumar Sharma, Abdullah AlEnizi, Osama Alfarraj, Majed Alowaidi, Manoj Kumar

“…FinSafeNet is based on a Bi-Directional Long Short-Term Memory (Bi-LSTM), a Convolutional Neural Network (CNN) and an additional dual attention mechanism to study the transaction data and influence the observation of various security threats. …”
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An Ensemble of Convolutional Neural Networks for Sound Event Detection by Abdinabi Mukhamadiyev, Ilyos Khujayarov, Dilorom Nabieva, Jinsoo Cho

“…One of the important directions in this field is to detect the sounds of emotional events around residential buildings in smart cities and quickly assess the situation for security purposes. This research presents a comprehensive study of an ensemble convolutional recurrent neural network (CRNN) model designed for sound event detection (SED) in residential and public safety contexts. …”
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An Intelligent Ensemble-Based Detection of In-Vehicle Network Intrusion by Easa Alalwany, Imad Mahgoub, Bader Alsharif, Abdullah Alfahaid

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