Forecasting of the Nile River Inflows by Genetic Algorithms. - Mohammed E. El-Telbany; Ashraf H. Abdel-Wahab; Samir I. Shaheen (ICANNGA, 1997)

A Shaheen Hybrid GA Statistical Method for the Forecasting Problem: The Prediction of the River Nile Inflows. - Ashraf H. Abdel-Wahab; Mohammed E. El-Telbany; Samir I. Shaheen (IEA/AIE (Vol. 1), 1998)

Modeling of a winding machine using genetic programming. - A. Hussian; A. Sheta; M. Kamel; Mohammed E. El-Telbany; A. Abdelwahab (CEC, 2000)

Mining the Classification Rules for Egyptian Rice Diseases. - Mohammed E. El-Telbany; Mahmoud Warda; Mahmoud El-Borahy (Int. Arab J. Inf. Technol., 2006)

Software reliability prediction using multi-objective genetic algorithm. - Sultan H. Aljahdali; Mohammed E. El-Telbany (AICCSA, 2009)

Natural-Inspired Data Clustering: A Hybridization between Ant Clustering and Particle Swarm Optimization. - Mohammed E. El-Telbany; Samah Rafat; Sultan H. Aljahdali (SEDE, 2009)

The limitations of genetic algorithms in software testing. - Sultan H. Aljahdali; Ahmed S. Ghiduk; Mohammed E. El-Telbany (AICCSA, 2010)

A New Learning Strategy for Complex-Valued Neural Networks Using Particle Swarm Optimization. - Mohammed E. El-Telbany; Samah Refat; Engy I. Nasr (AISI, 2015)

Improving the Predictability of GRNN Using Fruit Fly Optimization and PCA: The Nile Flood Forecasting. - Mohammed E. El-Telbany (AISI, 2016)

The Challenges of Reinforcement Learning in Robotics and Optimal Control. - Mohammed E. El-Telbany (AISI, 2016)

A Review of Wireless Sensor Applications in Remote Sensing and Space Industry - State of the Art and Challenges. - Mohammed E. El-Telbany; Maha A. Maged (AISI, 2017)

Prediction of the Electrical Load for Egyptian Energy Management Systems: Deep Learning Approach. - Mohammed E. El-Telbany (AICV, 2020)

Deep Learning Classification Methods for Brain-Computer Interface: An Overview. - Sara Mohammed Farag; Samah Refat; Mohammed E. El-Telbany (AMLTA, 2021)