| Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks AI Saba, AH Elsheikh Process safety and environmental protection 141, 1-8, 2020 | 211 | 2020 |
| Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia AH Elsheikh, AI Saba, M Abd Elaziz, S Lu, S Shanmugan, ... Process Safety and Environmental Protection 149, 223-233, 2021 | 136 | 2021 |
| Efficient artificial intelligence forecasting models for COVID-19 outbreak in Russia and Brazil MAA Al-Qaness, AI Saba, AH Elsheikh, M Abd Elaziz, RA Ibrahim, S Lu, ... Process Safety and Environmental Protection 149, 399-409, 2021 | 94 | 2021 |
| Boosting COVID-19 image classification using MobileNetV3 and aquila optimizer algorithm M Abd Elaziz, A Dahou, NA Alsaleh, AH Elsheikh, AI Saba, M Ahmadein Entropy 23 (11), 1383, 2021 | 88 | 2021 |
| Artificial intelligence for forecasting the prevalence of COVID-19 pandemic: An overview AH Elsheikh, AI Saba, H Panchal, S Shanmugan, NA Alsaleh, ... Healthcare 9 (12), 1614, 2021 | 43 | 2021 |
| Effects of Platelet-Rich Plasma on the Oxymetholone-Induced Testicular Toxicity AI Saba, RH Elbakary, OK Afifi, HEM Sharaf Eldin Diseases 11 (2), 84, 2023 | 1 | 2023 |
| Boosted Nutcracker optimizer and Chaos Game Optimization with Cross Vision Transformer for medical image classification AF Mohamed, A Saba, MK Hassan, HM Youssef, A Dahou, AH Elsheikh, ... Egyptian Informatics Journal 26, 100457, 2024 | | 2024 |
Ammar H. ElsheikhDepartment of Production Engineering and Mechanical Design, Faculty of Engineering, Tanta UniversityVerified email at f-eng.tanta.edu.eg
