194 citations · 290 across the 5 of their papers we have counts for
5 papers
Recent Advances in Transformer and Large Language Models for UAV Applications
Hamza Kheddar, Yassine Habchi, Mohamed Chahine Ghanem +2
The rapid advancement of Transformer-based models has reshaped the landscape of uncrewed aerial vehicle (UAV) systems by enhancing perception, decision-making, and autonomy. This r…
Hierarchical Graph Neural Network for Compressed Speech Steganalysis
Mustapha Hemis, Hamza Kheddar, Mohamed Chahine Ghanem +1
Steganalysis methods based on deep learning (DL) often struggle with computational complexity and challenges in generalizing across different datasets. Incorporating a graph neural…
Deep Learning Techniques for Hand Vein Biometrics: A Comprehensive Review
Mustapha Hemis, Hamza Kheddar, Sami Bourouis +1
Biometric authentication has garnered significant attention as a secure and efficient method of identity verification. Among the various modalities, hand vein biometrics, including…
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey
Hamza Kheddar, Mustapha Hemis, Yassine Himeur
Recent advancements in deep learning (DL) have posed a significant challenge for automatic speech recognition (ASR). ASR relies on extensive training datasets, including confidenti…
Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions
Hamza Kheddar, Mustapha Hemis, Yassine Himeur +2
Steganography and steganalysis are two interrelated aspects of the field of information security. Steganography seeks to conceal communications, whereas steganalysis is aimed to ei…