( en | de | ru )

 

Disambiguation of "Wahab, Abdel"

Author of the publication

copydeleteadd this publication to your clipboard
Acknowledgment to Reviewers of Electronics in 2020

, , , , , , , , , , and . (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Mohamed Abdel Wahab Attwa Abdel Wahab

Abdel Wahab Moursy

Abdel-Lateif Abdel-Wahab Samak

Ahmed Abdel-Wahab Abdel-Gawaad

Abdel-Wahab Mohamed Ali

 

Other publications of authors with the same name

Acknowledgment to Reviewers of Electronics in 2020, , , , , , , , , and 1 other author(s). (2021)Integrated Multi-Agent Architecture for Assisted Document Recognition., , , and . DAS, volume 29 of Series in Machine Perception and Artificial Intelligence, page 301-317. WorldScientific, (1996)A Scenario Model Advocating User-Driven Adaptive Document Recognition Systems., , and . ICDAR, page 745-748. IEEE Computer Society, (1997)A study of document image degradation effects on font recognition., and . ICDAR, page 740-743. IEEE Computer Society, (1995)0-8186-7128-9.Evaluation of syllable rate estimation in expressive speech and its contribution to emotion recognition., and . SLT, page 472-477. IEEE, (2014)A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices., , , and . ICSOC, volume 12571 of Lecture Notes in Computer Science, page 319-333. Springer, (2020)Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning., , and . IWCMC, page 524-529. IEEE, (2023)Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving., , and . IWCMC, page 318-323. IEEE, (2022)Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems., , and . CoRR, (2019)VirtualGAN: Reducing Mode Collapse in Generative Adversarial Networks Using Virtual Mapping., , and . IJCNN, page 1-6. IEEE, (2021)