29 citations · 48 across the 6 of their papers we have counts for
6 papers
A Deployment-Oriented and Resource-Efficient Neuro-Symbolic Framework for Explainable DDoS Detection in Operational Technology Networks
Mikiyas Alemayehu, Mohamed Chahine Ghanem, Hamza Kheddar +2
Operational technology (OT) environments, including programmable logic controllers (PLCs), industrial control systems (ICS), and supervisory control and data acquisition (SCADA) sy…
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…
Deep Transfer Learning for Kidney Cancer Diagnosis
Yassine Habchi, Hamza Kheddar, Yassine Himeur +5
Incurable diseases continue to pose major challenges to global healthcare systems, with their prevalence shaped by lifestyle, economic, social, and genetic factors. Among these, ki…
Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review
Yassine Habchi, Hamza Kheddar, Yassine Himeur +1
The growing interest in developing smart diagnostic systems to help medical experts process extensive data for treating incurable diseases has been notable. In particular, the chal…