Mohammed E. El-Telbany

发表

Improving the Predictability of GRNN Using Fruit Fly Optimization and PCA: The Nile Flood Forecasting

Mohammed E. El-Telbany, M. El-Telbany, 2016, AISI.

Mining the classification rules: the egyptian rice diseases as case study

Mohammed E. El-Telbany, 2005, ICT 2005.

Employing Particle Swarm Optimizer and Genetic Algorithms for Optimal Tuning of PID Controllers: A Comparative Study

Mohammed E. El-Telbany, M. El-Telbany, 2007 .

A Shaheen Hybrid GA Statistical Method for the Forecasting Problem: The Prediction of the River Nile Inflows

Samir I. Shaheen, Mohammed E. El-Telbany, Ashraf H. Abdel-Wahab, 1998, IEA/AIE.

Integrated ant based clustering with particle swarm optimization for data clustering

Mohammed E. El-Telbany, Samah refat, A. Dakroury, 2010 .

The limitations of genetic algorithms in software testing

Ahmed S. Ghiduk, Sultan H. Aljahdali, Mohammed E. El-Telbany, 2010, ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010.

Wireless sensor networks for extreme environments: remote sensing and space industry

Mohammed E. El-Telbany, Maha A. Maged, 2019 .

Software reliability prediction using multi-objective genetic algorithm

Sultan H. Aljahdali, Mohammed E. El-Telbany, M. El-Telbany, 2009, 2009 IEEE/ACS International Conference on Computer Systems and Applications.

Natural-Inspired Data Clustering: A Hybridization between Ant Clustering and Particle Swarm Optimization

Sultan H. Aljahdali, Mohammed E. El-Telbany, Samah Rafat, 2009, SEDE.

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, 2017, AISI.

A New Learning Strategy for Complex-Valued Neural Networks Using Particle Swarm Optimization

Mohammed E. El-Telbany, Samah Refat, Engy I. Nasr, 2015, AISI.

Tuning PID Controller for DC Motor: An Artificial Bees Optimization Approach

Mohammed E. El-Telbany, M. El-Telbany, 2013 .

Dictionary Learning for SAR Images Despeckling

Mohammed E. El-Telbany, M. El-Telbany, 2014 .

Prediction of the Electrical Load for Egyptian Energy Management Systems: Deep Learning Approach

Mohammed E. El-Telbany, 2020, AICV.

An Empirical Comparison of Tree-Based Learning Algorithms: An Egyptian Rice Diseases Classification Case Study

Mohammed E. El-Telbany, Mahmoud Warda, M. El-Telbany, 2016 .

Mining the Classification Rules for Egyptian Rice Diseases

Mohammed E. El-Telbany, Mahmoud Warda, Mahmoud El-Borahy, 2006, Int. Arab J. Inf. Technol..

Complex-Valued Neural Networks: A New Learning Strategy Using Particle Swarm Optimization

Mohammed E. El-Telbany, Samah Refat, Engy I. Nasr, 2017 .

Short-term forecasting of Jordanian electricity demand using particle swarm optimization

Mohammed E. El-Telbany, Fawwaz Elkarmi, F. Elkarmi, 2008 .

Bio-inspired machine learning in microarray gene selection and cancer classification

Sultan H. Aljahdali, Mohammed E. El-Telbany, M. El-Telbany, 2009, 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

Genetic Algorithms for Optimizing Ensemble of Models in Software Reliability Prediction

Sultan Aljahdali, Mohammed E. El-Telbany, M. El-Telbany, 2008 .

Complex-Valued Neural Networks Training: A Particle Swarm Optimization Strategy

Mohammed E. El-Telbany, Samah Refat, M. El-Telbany, 2016 .

The Challenges of Reinforcement Learning in Robotics and Optimal Control

Mohammed E. El-Telbany, M. El-Telbany, 2016, AISI.

Deep Learning Classification Methods for Brain-Computer Interface: An Overview

Mohammed E. El-Telbany, Samah Refat, Sara Mohammed Farag, 2021, AMLTA.

Exploiting Sparsity in Wireless Sensor Networks for Energy Saving : A Comparative Study

Mohammed E. El-Telbany, M. El-Telbany, 2017 .