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Ayman E Khedr

Showing results (1-10 of 5) with videos related to

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Acta Informatica Medica : AIM : Journal of the Society for Medical Informatics of Bosnia & Herzegovina : Casopis Drustva Za Medicinsku Informatiku Bih|September 17, 2013
A proposed defect tracking model for classifying the inserted defect reports to enhance software quality controlTorky Sultan, Ayman E Khedr, Mostafa Sayed
Peerj. Computer Science|October 4, 2021
Enhancing the e-learning system based on a novel tasks' classification load-balancing algorithmAyman E Khedr, Amira M Idrees, Rashed Salem
Scientific Reports|June 1, 2026
A hybrid CNN-DNN model for battery remaining useful life RUL predictionHala Khoufi, Emna Bouazizi, Ayman E Khedr, et al.
Peerj. Computer Science|May 14, 2021
Adaptive model to support business process reengineeringNoha Ahmed Bayomy, Ayman E Khedr, Laila A Abd-Elmegid
Computational Intelligence and Neuroscience|February 10, 2022
Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection TechniquesShrouk H Hessen, Hatem M Abdul-Kader, Ayman E Khedr, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Acta Informatica Medica : AIM : Journal of the Society for Medical Informatics of Bosnia & Herzegovina : Casopis Drustva Za Medicinsku Informatiku Bih|September 17, 2013
A proposed defect tracking model for classifying the inserted defect reports to enhance software quality controlTorky Sultan, Ayman E Khedr, Mostafa Sayed
Peerj. Computer Science|October 4, 2021
Enhancing the e-learning system based on a novel tasks' classification load-balancing algorithmAyman E Khedr, Amira M Idrees, Rashed Salem
Scientific Reports|June 1, 2026
A hybrid CNN-DNN model for battery remaining useful life RUL predictionHala Khoufi, Emna Bouazizi, Ayman E Khedr, et al.
Peerj. Computer Science|May 14, 2021
Adaptive model to support business process reengineeringNoha Ahmed Bayomy, Ayman E Khedr, Laila A Abd-Elmegid
Computational Intelligence and Neuroscience|February 10, 2022
Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection TechniquesShrouk H Hessen, Hatem M Abdul-Kader, Ayman E Khedr, et al.
Pageof 1