| Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems G Rjoub, J Bentahar, O Abdel Wahab, A Saleh Bataineh Concurrency and Computation: Practice and Experience 33 (23), e5919, 2021 | 115 | 2021 |
| Monetizing personal data: a two-sided market approach AS Bataineh, R Mizouni, M El Barachi, J Bentahar Procedia Computer Science 83, 472-479, 2016 | 53 | 2016 |
| 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 | 44 | 2019 |
| Toward monetizing personal data: a two-sided market analysis AS Bataineh, R Mizouni, J Bentahar, M El Barachi Future Generation Computer Systems 111, 435-459, 2020 | 42 | 2020 |
| 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 | 36 | 2024 |
| 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 | 29 | 2020 |
| 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 | 28 | 2021 |
| Trust-augmented deep reinforcement learning for federated learning client selection G Rjoub, OA Wahab, J Bentahar, R Cohen, AS Bataineh Information Systems Frontiers, 1-18, 2022 | 22 | 2022 |
| Specifying and verifying contract-driven service compositions using commitments and model checking AS Bataineh, J Bentahar, M El Menshawy, R Dssouli Expert Systems with Applications 74, 151-184, 2017 | 18 | 2017 |
| 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 | 15 | 2021 |
| 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 | 14 | 2020 |
| Dynamic pricing for maximizing cloud revenue: a column generation approach F Alzhouri, A Agarwal, Y Liu, AS Bataineh Proceedings of the 18th International Conference on Distributed Computing …, 2017 | 13 | 2017 |
| Cloud as platform for monetizing complementary data for AI-driven services: A two-sided cooperative game AS Bataineh, J Bentahar, OA Wahab, R Mizouni, G Rjoub 2021 IEEE International Conference on Services Computing (SCC), 443-449, 2021 | 6 | 2021 |
| Using model checking for trivial file transfer protocol validation S Alrabaee, A Bataineh, FA Khasawneh, R Dssouli Fourth International Conference on Communications and Networking, ComNet …, 2014 | 3 | 2014 |
| Toward Monetizing Data for AI-driven Services on Cloud Computing and Blockchain A Bataineh Concordia Institute for Information Systems Engineering, 2021 | | 2021 |
| Cloud computing as a platform for monetizing data services: A two-sided game business model A Saleh Bataineh, J Bentahar, R Mizouni, O Abdel Wahab, G Rjoub, ... arXiv e-prints, arXiv: 2104.12762, 2021 | | 2021 |
| Specifying and Verifying Contract-driven Composite Web Services: a Model Checking Approach A Bataineh Concordia University, 2014 | | 2014 |
| Improving Autonomous Vehicles Safety in Snow Weather Using Federated YOLO CNN Learning AS Bataineh | | |
| A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices A Bataineh | | |
Jamal BentaharConcordia UniversityDirección de correo verificada de ciise.concordia.ca
