Gaith Rjoub - RankMe

37 papers A* 1A 2B 3Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive agentic meta-controller (AAMC): A deep reinforcement learning framework for intelligent SLM/LLM orchestration. Neurocomputing Gaith Rjoub, Jamal Bentahar, Shahed Bassam Almobydeen, Witold Pedrycz, Ahmad Irjoob
2026	J	`jnl`	HCGN: A Hierarchical Causal-Graph Network for sustainable communication and coordination in edge-fog systems. Simul. Model. Pract. Theory Shahed Bassam Almobydeen, Gaith Rjoub, Jamal Bentahar, Ahmad Irjoob, Muhammad Younas
2025	J	`jnl`	A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments. CoRR Gaith Rjoub, Hanae Elmekki, Saidul Islam, Jamal Bentahar, Rachida Dssouli
2025	J	`jnl`	A hybrid swarm intelligence approach for optimizing Multimodal Large Language Models deployment in edge-cloud-based Federated Learning environments. Comput. Commun. Gaith Rjoub, Hanae Elmekki, Saidul Islam, Jamal Bentahar, Rachida Dssouli
2025	J	`jnl`	A multi-modal unsupervised machine learning approach for biomedical signal processing during cardiopulmonary resuscitation. Inf. Sci. Saidul Islam, Jamal Bentahar, Robin Cohen, Gaith Rjoub
2025	J	`jnl`	Enhanced Dynamic Deep Q-Network for Federated Learning scheduling policies on IoT devices using explanation-driven trust. Knowl. Based Syst. Gaith Rjoub, Hanae Elmekki, Jamal Bentahar, Witold Pedrycz, Sofian Kassaymeh, Shahed Bassam Almobydeen, Rachida Dssouli
2025	J	`jnl`	Integration of Deep Learning and Image Segmentation in Computational Modeling for Improved Biospeckle Image Analysis. SN Comput. Sci. Hatem S. A. Hamatta, Ch. L. N. Deepika, Gaith Rjoub, Sofian Kassaymeh, R. Manikandan, Sanjay Kumar Suman, L. Bhagyalakshmi
2025	J	`jnl`	Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques. Artif. Intell. Rev. Saidul Islam, Gaith Rjoub, Hanae Elmekki, Jamal Bentahar, Witold Pedrycz, Robin Cohen
2025	J	`jnl`	Recent advances in multi-objective whale optimization algorithm, its versions and applications. J. King Saud Univ. Comput. Inf. Sci. Sharif Naser Makhadmeh, Sofian Kassaymeh, Gaith Rjoub, Bilal Bataineh, Yousef K. Sanjalawe, Mohammed Azmi Al-Betar
2024	J	`jnl`	A Multi-Modal Unsupervised Machine Learning Approach for Biomedical Signal Processing in CPR. CoRR Saidul Islam, Jamal Bentahar, Robin Cohen, Gaith Rjoub
2024	J	`jnl`	A comprehensive survey on applications of transformers for deep learning tasks. Expert Syst. Appl. Saidul Islam, Hanae Elmekki, Ahmed Elsebai, Jamal Bentahar, Nagat Drawel, Gaith Rjoub, Witold Pedrycz
2024	B	`conf`	Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology. IWCMC Gaith Rjoub, Saidul Islam, Jamal Bentahar, Mohammed Amin Almaiah, Rana Al-Rawashdeh
2024	J	`jnl`	Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology. CoRR Gaith Rjoub, Saidul Islam, Jamal Bentahar, Mohammed Amin Almaiah, Rana Al-Rawashdeh
2024	J	`jnl`	Machine Learning Innovations in CPR: A Comprehensive Survey on Enhanced Resuscitation Techniques. CoRR Saidul Islam, Gaith Rjoub, Hanae Elmekki, Jamal Bentahar, Witold Pedrycz, Robin Cohen
2024	J	`jnl`	Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection. Inf. Syst. Frontiers Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Robin Cohen, Ahmed Saleh Bataineh
2024	J	`jnl`	Trust-driven reinforcement selection strategy for federated learning on IoT devices. Computing Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh
2023	J	`jnl`	A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks. CoRR Saidul Islam, Hanae Elmekki, Ahmed Elsebai, Jamal Bentahar, Nagat Drawel, Gaith Rjoub, Witold Pedrycz
2023	J	`jnl`	A Survey on Explainable Artificial Intelligence for Cybersecurity. IEEE Trans. Netw. Serv. Manag. Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad
2023	J	`jnl`	A Survey on Explainable Artificial Intelligence for Network Cybersecurity. CoRR Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad
2023	B	`conf`	Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning. IWCMC Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab
2022	—	`conf`	Active Federated YOLOR Model for Enhancing Autonomous Vehicles Safety. MobiWIS Gaith Rjoub, Jamal Bentahar, Y A Joarder
2022	J	`jnl`	Cloud Computing as a Platform for Monetizing Data Services: A Two-Sided Game Business Model. IEEE Trans. Netw. Serv. Manag. Ahmed Saleh Bataineh, Jamal Bentahar, Rabeb Mizouni, Omar Abdel Wahab, Gaith Rjoub, May El Barachi
2022	B	`conf`	Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving. IWCMC Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab
2022	J	`jnl`	Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems. Inf. Sci. Omar Abdel Wahab, Gaith Rjoub, Jamal Bentahar, Robin Cohen
2022	J	`jnl`	Formal verification of group and propagated trust in multi-agent systems. Auton. Agents Multi Agent Syst. Nagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub
2022	—	`conf`	One-Shot Federated Learning-based Model-Free Reinforcement Learning. DBB Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Nagat Drawel
2021	—	`conf`	Cloud as platform for monetizing complementary data for AI-driven services: A two-sided cooperative game. SCC Ahmed Saleh Bataineh, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Gaith Rjoub
2021	J	`jnl`	Cloud computing as a platform for monetizing data services: A two-sided game business model. CoRR Ahmed Saleh Bataineh, Jamal Bentahar, Rabeb Mizouni, Omar Abdel Wahab, Gaith Rjoub, May El Barachi
2021	J	`jnl`	Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems. Concurr. Comput. Pract. Exp. Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Ahmed Saleh Bataineh
2021	—	`conf`	Improving Autonomous Vehicles Safety in Snow Weather Using Federated YOLO CNN Learning. MobiWIS Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh
2020	A	`conf`	A Game-Based Secure Trading of Big Data and IoT Services: Blockchain as a Two-Sided Market. ICSOC Ahmed Saleh Bataineh, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Gaith Rjoub
2020	A	`conf`	A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices. ICSOC Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh
2020	J	`jnl`	An endorsement-based trust bootstrapping approach for newcomer cloud services. Inf. Sci. Omar Abdel Wahab, Robin Cohen, Jamal Bentahar, Hadi Otrok, Azzam Mourad, Gaith Rjoub
2020	J	`jnl`	BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments. Future Gener. Comput. Syst. Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab
2020	A*	`conf`	Formalizing Group and Propagated Trust in Multi-Agent Systems. IJCAI Nagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub
2019	—	`conf`	Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud. FiCloud Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Ahmed Saleh Bataineh
2017	—	`conf`	Cloud Task Scheduling Based on Swarm Intelligence and Machine Learning. FiCloud Gaith Rjoub, Jamal Bentahar