KAN-ResNet-Enhanced Radio Frequency Fingerprint Identification with Zero-Forcing Equalization by Hongbo Chen, Ruohua Zhou, Qingsheng Yuan, Ziye Guo, Wei Fu

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An enhanced deep learning‐based phishing detection mechanism to effectively identify malicious URLs using variational autoencoders by Manoj Kumar Prabakaran, Parvathy Meenakshi Sundaram, Abinaya Devi Chandrasekar

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A Fast Power Market Clearing Method Based on Active Constraints Identification by Deep Learning by Yunliang WU, Jianxin ZHANG, Bao LI, Peng LI, Zhiyong LI, Xin ZHOU, Yan YANG, Xiaowen LAI

“…Secondly, a deep learning strategy is proposed for identification of active constraint sets, which can provide technical support for deep neural networks to effectively identify the active constraints of SCED from two aspects: feature vector design and efficient processing of the results of deep neural network. …”
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PLANT DISEASE DETECTION USING DEEP LEARNING by Amrita, Sanjay Kumar Nayak, Rajiv Kumar, Sakshi Tomar

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An ensemble of deep representation learning with metaheuristic optimisation algorithm for critical health monitoring using internet of medical things by Mai Alduailij

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WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches by Shehla Gul, Sobia Arshad, Sanay Muhammad Umar Saeed, Adeel Akram, Muhammad Awais Azam

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Touch of Privacy: A Homomorphic Encryption-Powered Deep Learning Framework for Fingerprint Authentication by U. Sumalatha, K. Krishna Prakasha, Srikanth Prabhu, Vinod C. Nayak

“…One real fingerprint per user is encrypted and stored for authentication, reducing computational complexity. The CNN classifies encrypted features without decryption, ensuring secure authentication. …”
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Over-the-air federated learning: Status quo, open challenges, and future directions by Bingnan Xiao, Xichen Yu, Wei Ni, Xin Wang, H. Vincent Poor

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Reversible image steganography based on residual structure and attention mechanism by Lianshan Liu, Shanshan Tong, Qianwen Xue

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PENGENALAN SUARA MANUSIA MENGGUNAKAN JARINGAN SYARAF TIRUAN DENGAN METODE LINEAR PREDICTIVE CODING DAN FAST FOURIR TRANSFORM by Nirwan Sinuhaji, Benar, Romulo P. Aritonang

“…The voice signal obtained from the recording results is processed by a computer with the FFT algorithm so that a digital signal is obtained, then parsed, the results of the feature extraction with the FFT method then become the input of the LPC method and then implemented into the Artificial Neural Network. …”
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A Multicomponent Face Verification and Identification System by Athanasios Douklias, Ioannis Zorzos, Evangelos Maltezos, Vasilis Nousis, Spyridon Nektarios Bolierakis, Lazaros Karagiannidis, Eleftherios Ouzounoglou, Angelos Amditis

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Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

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Hybrid CNN-LSTM With Attention Mechanism for Robust Credit Card Fraud Detection by Iman Akour, Nour Mohamed, Said Salloum

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A Lightweight GCT-EEGNet for EEG-Based Individual Recognition Under Diverse Brain Conditions by Laila Alshehri, Muhammad Hussain

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The Evolution of Biometric Authentication: A Deep Dive Into Multi-Modal Facial Recognition: A Review Case Study by Mohamed Abdul-Al, George Kumi Kyeremeh, Rami Qahwaji, Nazar T. Ali, Raed A. Abd-Alhameed

“…The survey highlights novel contributions such as using Generative Adversarial Networks (GANs) to generate synthetic disguised faces, Convolutional Neural Networks (CNNs) for feature extractions, and Fuzzy Extractors to integrate biometric verification with cryptographic security. …”
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MeetSafe: enhancing robustness against white-box adversarial examples by Ruben Stenhuis, Dazhuang Liu, Yanqi Qiao, Mauro Conti, Manos Panaousis, Kaitai Liang

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A New Efficient Hybrid Technique for Human Action Recognition Using 2D Conv-RBM and LSTM with Optimized Frame Selection by Majid Joudaki, Mehdi Imani, Hamid R. Arabnia

“…Recognizing human actions through video analysis has gained significant attention in applications like surveillance, sports analytics, and human–computer interaction. While deep learning models such as 3D convolutional neural networks (CNNs) and recurrent neural networks (RNNs) deliver promising results, they often struggle with computational inefficiencies and inadequate spatial–temporal feature extraction, hindering scalability to larger datasets or high-resolution videos. …”
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A novel approach to intrusion detection system using hybrid flower pollination and cheetah optimization algorithm by Deepshikha Kumari, Prashant Pranav, Abhinav Sinha, Sandip Dutta

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A Semantic Weight Adaptive Model Based on Visual Question Answering by Li Huimin, Li Xuan, Chen Yan

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GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence by Mohd Anjum, Ashit Kumar Dutta, Ali Elrashidi, Sana Shahab, Asma Aldrees, Zaffar Ahmed Shaikh, Abeer Aljohani

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