| Honey badger optimizer for extracting the ungiven parameters of PEMFC model: Steady-state assessment H Ashraf, SO Abdellatif, MM Elkholy, AA El‑Fergany Energy Conversion and Management 258, 115521, 2022 | 35 | 2022 |
| Computational techniques based on artificial intelligence for extracting optimal parameters of PEMFCs: Survey and insights H Ashraf, SO Abdellatif, MM Elkholy, AA El‑Fergany Archives of Computational Methods in Engineering 29 (6), 3943-3972, 2022 | 29 | 2022 |
| Synergy of neuro-fuzzy controller and tuna swarm algorithm for maximizing the overall efficiency of PEM fuel cells stack including dynamic performance H Ashraf, MM Elkholy, SO Abdellatif, AA El‑Fergany Energy Conversion and Management: X 16, 100301, 2022 | 9 | 2022 |
| A comprehensive survey of artificial intelligence-based techniques for performance enhancement of solid oxide fuel cells: Test cases with debates H Ashraf, A Draz Artificial Intelligence Review 57 (2), 1-50, 2024 | | 2024 |
| Optimal Starting of IM Energized by PEM Fuel Cells Stack without Energy Storage Devices H Ashraf, MM Elkholy, SO Abdellatif, AA El-Fergany 2023 24th International Middle East Power System Conference (MEPCON), 1-6, 2023 | | 2023 |
| Accurate emulation of steady-state and dynamic performances of PEM fuel cells using simplified models H Ashraf, MM Elkholy, SO Abdellatif, AA El‑Fergany Scientific Reports 13 (1), 19532, 2023 | | 2023 |
Mahmoud M. Elkholy, SMIEEEProfessor at Faculty of Engineering, Zagazig University, 44519 Zagazig, Egypt.Verified email at zu.edu.eg
