194 citations · 950 across the 33 of their papers we have counts for
9 papers · 1 filter
A Robust Cross-Domain IDS using BiGRU-LSTM-Attention for Medical and Industrial IoT Security
Afrah Gueriani, Hamza Kheddar, Ahmed Cherif Mazari +1
The increased Internet of Medical Things IoMT and the Industrial Internet of Things IIoT interconnectivity has introduced complex cybersecurity challenges, exposing sensitive data,…
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…
Multilinear subspace learning for person re-identification based fusion of high order tensor features
Ammar Chouchane, Mohcene Bessaoudi, Hamza Kheddar +3
Video surveillance image analysis and processing is a challenging field in computer vision, with one of its most difficult tasks being Person Re-Identification (PRe-ID). PRe-ID aim…
Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments
Noussaiba Djeffal, Djamel Addou, Hamza Kheddar +1
Addressing the detrimental impact of non-stationary environmental noise on automatic speech recognition (ASR) has been a persistent and significant research focus. Despite advancem…
Enhancing Cochlear Implant Signal Coding with Scaled Dot-Product Attention
Billel Essaid, Hamza Kheddar, Noureddine Batel
Cochlear implants (CIs) play a vital role in restoring hearing for individuals with severe to profound sensorineural hearing loss by directly stimulating the auditory nerve with el…
Improving Pretrained YAMNet for Enhanced Speech Command Detection via Transfer Learning
Sidahmed Lachenani, Hamza Kheddar, Mohamed Ouldzmirli
This work addresses the need for enhanced accuracy and efficiency in speech command recognition systems, a critical component for improving user interaction in various smart applic…
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Yassine Habchi, Hamza Kheddar, Yassine Himeur +4
The rapid advancement of deep learning (DL) has transformed healthcare, particularly in cancer detection and diagnosis. DL surpasses traditional machine learning and human accuracy…
Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models
Afrah Gueriani, Hamza Kheddar, Ahmed Cherif Mazari
The rapid expansion of the industrial Internet of things (IIoT) has introduced new challenges in securing critical infrastructures against sophisticated cyberthreats. This study pr…