Efficient implementation of image representation, visual geometry group with 19 layers and residual network with 152 layers for intrusion detection from UNSW-NB15 dataset. - Youssef F. Sallam; Samy Abd El-Nabi; Walid El-Shafai; Hossam Eldin H. Ahmed; Adel A. Saleeb; Nirmeen A. El-Bahnasawy; Fathi E. Abd El-Samie (Secur. Priv., 2023)

Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review. - Samy Abd El-Nabi; Walid El-Shafai; El-Sayed M. El-Rabaie; Khalil F. Ramadan; Fathi E. Abd El-Samie; Saeed Mohsen (Multim. Tools Appl., 2024)

Single image super-resolution approaches in medical images based-deep learning: a survey. - Walid El-Shafai; Anas M. Ali; Samy Abd El-Nabi; El-Sayed M. El-Rabaie; Fathi E. Abd El-Samie (Multim. Tools Appl., 2024)

Traditional and deep-learning-based denoising methods for medical images. - Walid El-Shafai; Samy Abd El-Nabi; Anas M. Ali; El-Sayed M. El-Rabaie; Fathi E. Abd El-Samie (Multim. Tools Appl., 2024)

Driver Drowsiness Detection Using Swin Transformer and Diffusion Models for Robust Image Denoising. - Samy Abd El-Nabi; Ahmed F. Ibrahim; El-Sayed M. El-Rabaie; Osama F. Hassan; Naglaa F. Soliman; Khalil F. Ramadan; Walid El-Shafai (IEEE Access, 2025)