Multi-Objective Task Scheduling Approach for Fog Computing. - Mohamed Abdel-Basset; Nour Moustafa; Reda Mohamed; Osama M. Elkomy; Mohamed Abouhawwash (IEEE Access, 2021)

An Improved Binary Grey-Wolf Optimizer With Simulated Annealing for Feature Selection. - Mohamed Abdel-Basset; Karam M. Sallam; Reda Mohamed; Ibrahim Elgendi; Kumudu S. Munasinghe; Osama M. Elkomy (IEEE Access, 2021)

Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans. - Mohamed Abdel-Basset; Hossam Hawash; Nour Moustafa; Osama M. Elkomy (Pattern Recognit. Lett., 2021)

Knapsack Cipher-based metaheuristic optimization algorithms for cryptanalysis in blockchain-enabled internet of things systems. - Mohamed Abdel-Basset; Reda Mohamed; Osama M. Elkomy (Ad Hoc Networks, 2022)

Recent metaheuristic algorithms with genetic operators for high-dimensional knapsack instances: A comparative study. - Mohamed Abdel-Basset; Reda Mohamed; Osama M. Elkomy; Mohamed Abouhawwash (Comput. Ind. Eng., 2022)

Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems. - Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash; Imran Razzak; Karam M. Sallam; Osama M. Elkomy (IEEE Trans. Intell. Transp. Syst., 2022)

MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Osama M. Elkomy (IEEE Trans. Cybern., 2023)

ASAP: A lightweight authenticated secure association protocol for IEEE 802.15.6 based medical BAN. - Walid I. Khedr; Aya Salama 003; Marwa M. Khashaba; Osama M. Elkomy (Internet Things, 2024)