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Mohamed AbdElAziz Khamis, PhD
Mohamed AbdElAziz Khamis, PhD
Artificial Intelligence Lead, Ejada Systems Ltd.
Подтвержден адрес электронной почты в домене ejada.com - Главная страница
Название
Процитировано
Процитировано
Год
Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework
MA Khamis, W Gomaa
Engineering Applications of Artificial Intelligence 29, 134-151, 2014
2162014
Machine learning in computational docking
MA Khamis, W Gomaa, WF Ahmed
Artificial Intelligence In Medicine, 2015
1342015
Enhanced multiagent multi-objective reinforcement learning for urban traffic light control
MA Khamis, W Gomaa
2012 11th international conference on machine learning and applications 1 …, 2012
662012
Comparative Assessment of Machine-Learning Scoring Functions on PDBbind 2013
MA Khamis, W Gomaa
Engineering Applications of Artificial Intelligence, 2015
622015
Multi-objective traffic light control system based on Bayesian probability interpretation
MA Khamis, W Gomaa, H El-Shishiny
2012 15th International IEEE conference on intelligent transportation …, 2012
592012
Adaptive traffic control system based on Bayesian probability interpretation
MA Khamis, W Gomaa, A El-Mahdy, A Shoukry
2012 Japan-Egypt Conference on Electronics, Communications and Computers …, 2012
232012
Machine learning for the fast and reliable source-location prediction in earthquake early warning
OM Saad, Y Chen, D Trugman, MS Soliman, L Samy, A Savvaidis, ...
IEEE Geoscience and Remote Sensing Letters, 2022
222022
Car Following Markov Regime Classification and Calibration
AB Zaky, W Gomaa, MA Khamis
ICMLA 2015, 2015
15*2015
Designing Multi-Agent Unit Tests Using Systematic Test Design Patterns
MA Khamis
Faculty of Engineering, Alexandria Univesirty, 2010
12*2010
Designing multi-agent unit tests using systematic test design patterns-(extended version)
MA Khamis, K Nagi
Engineering Applications of Artificial Intelligence 26 (9), 2128-2142, 2013
112013
Deep Learning is Competing Random Forest in Computational Docking
MA Khamis, W Gomaa, B Galal
8*2016
MARL-FWC Optimal Coordination of Freeway Traffic Control Measures
A Fares, MA Khamis, W Gomaa
International Conference on Advanced Machine Learning and Technologies …, 2022
62022
MARL-FWC: Optimal Coordination of Freeway Traffic Control Measures
A Fares, W Gomaa, MA Khamis
arXiv preprint arXiv:1808.09806, 2018
6*2018
A Perspective on Human Activity Recognition from Inertial Motion Data
W Gomaa, MA Khamis
Neural Computing and Applications, 2023
42023
Camera Coach: Activity Recognition and Assessment Using Thermal and RGB Videos
A Sharshar, AHA Eitta, A Fayez, MA Khamis, AB Zaky, W Gomaa
IEEE International Joint Conference on Neural Networks 2023 (IJCNN 2023), 2023
22023
Arab reactions towards Russo-Ukrainian war
M Tamer, MA Khamis, A Yahia, SAL Khaled, A Ashraf, W Gomaa
EPJ Data Science, 2023
12023
Markov Switching Model for Driver Behavior Prediction: Use Cases on Smartphones
AB Zaky, MA Khamis, W Gomaa
Recent Innovations in Artificial Intelligence and Smart Applications 1061 …, 2022
12022
Adaptive Multi-Objective Reinforcement Learning For Traffic Signal Control Based on Cooperative Multi-Agent Framework
MA Khamis
Egypt-Japan University of Science and Technology (E-JUST), 2013
12013
Performance Analysis of Eucalyptus Vs. EC2 Cloud for HPC Scientific Computing
MA Khamis, M Hataba, S Samra, A Shalaby, A El-Mahdy
12011
Deep Learning Is Competing With Random Forest In Computational Docking
MA Khamis, B Galal, W Gomaa
International Japan - Africa Conference on Electronics, Communications …, 2023
2023
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