| The role of artificial intelligence in photo-voltaic systems design and control: A review A Youssef, Ayman, El-Telbany, Mohammed, Zekry Renewable and Sustainable Energy Reviews 78, 72-79, 2017 | 175 | 2017 |
| Short-term forecasting of Jordanian electricity demand using particle swarm optimization M El-Telbany, F El-Karmi Electric power systems research 78 (3), 425-433, 2008 | 134 | 2008 |
| Reconfigurable generic FPGA implementation of fuzzy logic controller for MPPT of PV systems A Youssef, M El Telbany, A Zekry Renewable and Sustainable Energy Reviews 82, 1313-1319, 2018 | 91 | 2018 |
| Intelligent techniques for MPPT control in photovoltaic systems: A comprehensive review ME El Telbany, A Youssef, AA Zekry 2014 4th International Conference on Artificial Intelligence with …, 2014 | 59 | 2014 |
| Employing particle swarm optimizer and genetic algorithms for optimal tuning of PID controllers: A comparative study ME El-Telbany ICGST-ACSE Journal 7 (2), 49-54, 2007 | 51 | 2007 |
| Software reliability prediction using multi-objective genetic algorithm SH Aljahdali, ME El-Telbany 2009 IEEE/ACS International Conference on Computer Systems and Applications …, 2009 | 41 | 2009 |
| Modeling of a winding machine using genetic programming A Hussian, A Sheta, M Kamel, M Telbany, A Abdelwahab Evolutionary Computation, 2000. Proceedings of the 2000 Congress on 1, 398-402, 2000 | 29 | 2000 |
| Tuning PID controller for DC motor: An artificial bees optimization approach ME El-Telbany International Journal of Computer Applications 77 (15), 2013 | 26 | 2013 |
| Mining the Classification Rules for Egyptian Rice Diseases. ME El-Telbany, M Warda, M El-Borahy Int. Arab J. Inf. Technol. 3 (4), 303-307, 2006 | 23 | 2006 |
| Genetic algorithms for optimizing ensemble of models in software reliability prediction SH Aljahdali, ME El-Telbany ICGST-AIML J 8 (1), 5-13, 2008 | 21 | 2008 |
| Genetic algorithms for optimizing ensemble of models in software reliability prediction SH Aljahdali, ME El-Telbany ICGST-AIML J 8 (1), 5-13, 2008 | 21 | 2008 |
| The limitations of genetic algorithms in software testing SH Aljahdali, AS Ghiduk, M El-Telbany ACS/IEEE International Conference on Computer Systems and Applications …, 2010 | 20 | 2010 |
| Reinforcement learning for online maximum power point tracking control A Youssef, ME Telbany, A Zekry Journal of Clean Energy Technologies 4 (4), 245-248, 2016 | 19 | 2016 |
| The Egyptian stock market return prediction: A genetic programming approach ME El-Telbany International conference on electrical, electronic and computer engineering, 2005 | 12 | 2005 |
| Exploiting sparsity in wireless sensor networks for energy saving: A comparative study ME El-Telbany, MA Maged International Journal of Applied Engineering Research 12 (4), 452-460, 2017 | 11 | 2017 |
| An Empirical Comparison of Tree-Based Learning Algorithms: An Egyptian Rice Diseases Classification Case Study ME El-Telbany, M Warda International Journal of Advanced Research in Artificial Intelligence …, 2016 | 9 | 2016 |
| An Empirical Comparison of Tree-Based Learning Algorithms: An Egyptian Rice Diseases Classification Case Study MEETM Warda (IJARAI) International Journal of Advanced Research in Artificial …, 2016 | 9* | 2016 |
| What quantile regression neural networks tell us about prediction of drug activities ME El-Telbany 2014 10th International Computer Engineering Conference (ICENCO), 76-80, 2014 | 9 | 2014 |
| The Predictive Learning Role in Drug Design ME El-Telbany Journal of Emerging Trends in Computing and Information Sciences 5 (3), 145-152, 2014 | 8 | 2014 |
| Design and simulation of fuzzy controller for three phase grid connected PV systems A Youssef, M El-Telbany, A Zekry International Journal of Engineering Technology, 2018 | 6 | 2018 |
Abdelhalim ZekryProfessor at Faculty of Engineering, Ain Shams UniversityDirección de correo verificada de eng.asu.edu.eg
