A novel black widow optimization algorithm for multilevel thresholding image segmentation EH Houssein, BE Helmy, D Oliva, AA Elngar, H Shaban Expert Systems with Applications 167, 114159, 2021 | 218 | 2021 |
An enhanced Archimedes optimization algorithm based on Local escaping operator and Orthogonal learning for PEM fuel cell parameter identification EH Houssein, BE Helmy, H Rezk, AM Nassef Engineering Applications of Artificial Intelligence 103, 104309, 2021 | 103 | 2021 |
An improved tunicate swarm algorithm for global optimization and image segmentation EH Houssein, BED Helmy, AA Elngar, DS Abdelminaam, H Shaban IEEE Access 9, 56066-56092, 2021 | 102 | 2021 |
Modified honey badger algorithm based global MPPT for triple-junction solar photovoltaic system under partial shading condition and global optimization AM Nassef, EH Houssein, BE Helmy, H Rezk Energy 254, 124363, 2022 | 78 | 2022 |
An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer EH Houssein, BE Helmy, D Oliva, P Jangir, M Premkumar, AA Elngar, ... Biomedical Signal Processing and Control 73, 103401, 2022 | 68 | 2022 |
An efficient orthogonal opposition-based learning slime mould algorithm for maximum power point tracking EH Houssein, BE Helmy, H Rezk, AM Nassef Neural Computing and Applications, 1-25, 2022 | 32 | 2022 |
Optimal reconfiguration strategy based on modified Runge Kutta optimizer to mitigate partial shading condition in photovoltaic systems AM Nassef, EH Houssein, BE Helmy, A Fathy, ML Alghaythi, H Rezk Energy Reports 8, 7242-7262, 2022 | 29 | 2022 |
Multi-level thresholding image segmentation based on nature-inspired optimization algorithms: a comprehensive review EH Houssein, E Helmy, D Oliva, AA Elngar, H Shaban Metaheuristics in machine learning: theory and applications, 239-265, 2021 | 21 | 2021 |
H, Oliva D, Elngar AA, Shaban H. Multi-level thresholding image segmentation based on nature-inspired optimization algorithms: A comprehensive review EH Houssein, E Helmy Metaheuristics in machine learning: Theory and applications. Cham: Springer …, 2021 | 5 | 2021 |
Predicting Difficulty Level of Surgical Removal of Impacted Mandibular Third Molar Using Deep Learning Approaches S Elborolosy, W Salem, M Hamed, A Sayed, BE Helmy, A Elngar Journal of Contemporary Dental Sciences 1 (1), 14-22, 2024 | 2 | 2024 |
An Enhanced Convolution Neural Network Model Tackling Heart Diseases Classification Problem Using Ecg Signals Dataset B Helmy, M Ashraf, M Abd-ElRahman, S Mohamed, N Gamal, H M Moftah | | |