Mohamed Hamed
Associate Professor of Information Technology, Faculty of Computers and Artificial Intelligence
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Enabling AI Applications in Data Science
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Citation:
Taha, M. H. N., M. H. N. Taha, and N. E. M. Khalifa, Enabling AI Applications in Data Science, : Springer Cham, 2021.
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AODV
(2)
Basic Priority scheduling scheme
(1)
NS-2
(2)
Scheduling schema
(1)
scheduling scheme
(1)
Wireless sensor networks
(2)
Recent Publications
Detection of coronavirus (COVID-19) associated pneumonia based on generative adversarial networks and a fine-tuned deep transfer learning model using chest X-ray dataset
A Linear Programming Methodology to Optimize Decision-Making for Ready-Mixed Cement Products: a Case Study on Egypt’s New Administrative Capital
Optimization of Task Scheduling in Cloud Computing Using the RAO-3 Algorithm
Cyber-Physical Systems for Industrial Transformation: Fundamentals, Standards, and Protocols
A COVID-19 Infection Prediction Model in Egypt Based on Deep Learning Using Population Mobility Reports
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