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Gaith Rjoub
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A comprehensive survey on applications of transformers for deep learning tasks
S Islam, H Elmekki, A Elsebai, J Bentahar, N Drawel, G Rjoub, W Pedrycz
Expert Systems with Applications 241, 122666, 2024
1842024
Deep and Reinforcement Learning for Automated Task Scheduling in Large-Scale Cloud Computing Systems
G Rjoub, J Bentahar, OA Wahab, AS Bataineh
Concurrency and Computation: Practice and Experience, 2020
1482020
BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments
G Rjoub, J Bentahar, OA Wahab
Future Generation Computer Systems 110, 1079-1097, 2020
1052020
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems
OA Wahab, G Rjoub, J Bentahar, R Cohen
Information Sciences 601, 189-206, 2022
942022
Trust-driven reinforcement selection strategy for federated learning on IoT devices
G Rjoub, OA Wahab, J Bentahar, A Bataineh
Computing 106 (4), 1273-1295, 2024
652024
An endorsement-based trust bootstrapping approach for newcomer cloud services
OA Wahab, R Cohen, J Bentahar, H Otrok, A Mourad, G Rjoub
Information Sciences 527, 159-175, 2020
562020
Deep smart scheduling: A deep learning approach for automated big data scheduling over the cloud
G Rjoub, J Bentahar, OA Wahab, A Bataineh
2019 7th International Conference on Future Internet of Things and Cloud …, 2019
512019
A survey on explainable artificial intelligence for cybersecurity
G Rjoub, J Bentahar, OA Wahab, R Mizouni, A Song, R Cohen, H Otrok, ...
IEEE Transactions on Network and Service Management 20 (4), 5115-5140, 2023
432023
Improving autonomous vehicles safety in snow weather using federated YOLO CNN learning
G Rjoub, OA Wahab, J Bentahar, AS Bataineh
International Conference on Mobile Web and Intelligent Information Systems …, 2021
432021
Trust-augmented deep reinforcement learning for federated learning client selection
G Rjoub, OA Wahab, J Bentahar, R Cohen, AS Bataineh
Information Systems Frontiers 26 (4), 1261-1278, 2024
412024
Explainable AI-based federated deep reinforcement learning for trusted autonomous driving
G Rjoub, J Bentahar, OA Wahab
2022 International Wireless Communications and Mobile Computing (IWCMC), 318-323, 2022
362022
A trust and energy-aware double deep reinforcement learning scheduling strategy for federated learning on IoT devices
G Rjoub, O Abdel Wahab, J Bentahar, A Bataineh
Service-Oriented Computing: 18th International Conference, ICSOC 2020, Dubai …, 2020
322020
Formal verification of group and propagated trust in multi-agent systems
N Drawel, J Bentahar, A Laarej, G Rjoub
Autonomous Agents and Multi-Agent Systems 36 (1), 19, 2022
302022
Cloud task scheduling based on swarm intelligence and machine learning
G Rjoub, J Bentahar
2017 IEEE 5Th international conference on future internet of things and …, 2017
282017
Formalizing Group and Propagated Trust in Multi-Agent Systems
N Drawel, J Bentahar, A Laarej, G Rjoub
Twenty-Ninth International Joint Conference on Artificial Intelligence …, 2020
272020
Cloud computing as a platform for monetizing data services: A two-sided game business model
AS Bataineh, J Bentahar, R Mizouni, OA Wahab, G Rjoub, M El Barachi
IEEE Transactions on Network and Service Management 19 (2), 1336-1350, 2021
172021
A game-based secure trading of big data and iot services: Blockchain as a two-sided market
AS Bataineh, J Bentahar, O Abdel Wahab, R Mizouni, G Rjoub
Service-Oriented Computing: 18th International Conference, ICSOC 2020, Dubai …, 2020
152020
Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning
G Rjoub, J Bentahar, OA Wahab
2023 International Wireless Communications and Mobile Computing (IWCMC), 524-529, 2023
82023
Active federated yolor model for enhancing autonomous vehicles safety
G Rjoub, J Bentahar, YA Joarder
International conference on mobile web and intelligent information systems …, 2022
82022
One-shot federated learning-based model-free reinforcement learning
G Rjoub, J Bentahar, OA Wahab, N Drawel
The International Conference on Deep Learning, Big Data and Blockchain, 39-52, 2022
62022
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