| Efficient Deep-Learning-Based Autoencoder Denoising Approach for Medical Image Diagnosis. W El-Shafai, SA El-Nabi, ESM El-Rabaie, AM Ali, NF Soliman, AD Algarni, ... Computers, Materials & Continua 70 (3), 2022 | 67 | 2022 |
| Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review SA El-Nabi, W El-Shafai, ESM El-Rabaie, KF Ramadan, FE Abd El-Samie, ... Multimedia Tools and Applications 83 (3), 9441-9477, 2024 | 48 | 2024 |
| Traditional and deep-learning-based denoising methods for medical images W El-Shafai, SA El-Nabi, AM Ali, ESM El-Rabaie, FE Abd El-Samie Multimedia Tools and Applications 83 (17), 52061-52088, 2024 | 16 | 2024 |
| Efficient implementation of image representation, visual geometry group with 19 layers and residual network with 152 layers for intrusion detection from UNSW‐NB15 dataset YF Sallam, S Abd El‐Nabi, W El‐Shafai, HEH Ahmed, A Saleeb, ... Security and Privacy 6 (5), e300, 2023 | 9 | 2023 |
| Single image super-resolution approaches in medical images based-deep learning: a survey W El-Shafai, AM Ali, SA El-Nabi, ESM El-Rabaie, FE Abd El-Samie Multimedia Tools and Applications 83 (10), 30467-30503, 2024 | 8 | 2024 |
| An Efficient Approach of Drowsiness Detection Based on ResNet50 and Xception Architectures S Abd El-Nabi, ESM El-Rabaie, A Emam, KF Ramadan 2023 3rd International Conference on Electronic Engineering (ICEEM), 1-6, 2023 | | 2023 |
