Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Maggie Mashaly"'
Publikováno v:
IEEE Access, Vol 11, Pp 11541-11554 (2023)
The unprecedented growth in production and exchange of multimedia over unsecured channels is overwhelming mathematicians, scientists and engineers to realize secure and efficient cryptographic algorithms. In this paper, a color image encryption algor
Externí odkaz:
https://doaj.org/article/2fd6ad8da6e34be38f0497fa0c12de24
Publikováno v:
IEEE Access, Vol 10, Pp 27945-27959 (2022)
In this paper, path planning and sorting of packages for Omnidirectional-Wheel conveyor are presented using Reinforcement Learning (RL). Q-learning, Double Q-learning, Deep Q-learning, and the Double Deep Q-learning algorithms are investigated. The R
Externí odkaz:
https://doaj.org/article/06caf14e31364a0fa490e8423afd158f
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11725 (2021)
In this paper, a machine-learning-assisted simulation approach for dynamic flow-shop production scheduling is proposed. This is achieved by introducing a novel framework to include predictive maintenance constraints in the scheduling process while a
Externí odkaz:
https://doaj.org/article/07ee0ab1dc914db284aa5f599b00c141
Autor:
Ahmed Abdelkhalek, Maggie Mashaly
Publikováno v:
The Journal of Supercomputing. 79:10611-10644
Network intrusion detection systems (NIDS) are the most common tool used to detect malicious attacks on a network. They help prevent the ever-increasing different attacks and provide better security for the network. NIDS are classified into signature
Publikováno v:
Procedia Computer Science. 220:78-85
Autor:
Mahmoud B. Emara, Arsany W. Youssef, Maggie Mashaly, Jens Kiefer, Lamia A. Shihata, Eman Azab
Publikováno v:
Procedia CIRP. 107:1245-1250
Autor:
Amro Mohamed Ahmed Ahmed, Adham Shamsaldin, Mohamed A. Abd El Ghany, Maggie Mashaly, Eman Azab
Publikováno v:
2022 International Conference on Microelectronics (ICM).
Publikováno v:
2022 International Conference on Microelectronics (ICM).
Publikováno v:
2022 International Conference on Microelectronics (ICM).
Autor:
Maggie Mashaly
Publikováno v:
ANT/EDI40
Digital twin technology can be considered as an innovation accelerator. By providing a live copy of physical systems, digital twins bring to the table numerous advantages such as accelerated business processes, enhanced productivity, and faster innov