Cloud Task Scheduling Based on Swarm Intelligence and Machine Learning. - Gaith Rjoub; Jamal Bentahar (FiCloud, 2017)

Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001; Ahmed Saleh Bataineh (FiCloud, 2019)

A Game-Based Secure Trading of Big Data and IoT Services: Blockchain as a Two-Sided Market. - Ahmed Saleh Bataineh; Jamal Bentahar; Omar Abdel Wahab 001; Rabeb Mizouni; Gaith Rjoub (ICSOC, 2020)

A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices. - Gaith Rjoub; Omar Abdel Wahab 001; Jamal Bentahar; Ahmed Saleh Bataineh (ICSOC, 2020)

Formalizing Group and Propagated Trust in Multi-Agent Systems. - Nagat Drawel; Jamal Bentahar; Amine Laarej; Gaith Rjoub (IJCAI, 2020)

BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001 (Future Gener. Comput. Syst., 2020)

An endorsement-based trust bootstrapping approach for newcomer cloud services. - Omar Abdel Wahab 001; Robin Cohen; Jamal Bentahar; Hadi Otrok; Azzam Mourad; Gaith Rjoub (Inf. Sci., 2020)

Cloud as platform for monetizing complementary data for AI-driven services: A two-sided cooperative game. - Ahmed Saleh Bataineh; Jamal Bentahar; Omar Abdel Wahab 001; Rabeb Mizouni; Gaith Rjoub (SCC, 2021)

Improving Autonomous Vehicles Safety in Snow Weather Using Federated YOLO CNN Learning. - Gaith Rjoub; Omar Abdel Wahab 001; Jamal Bentahar; Ahmed Saleh Bataineh (MobiWIS, 2021)

Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001; Ahmed Saleh Bataineh (Concurr. Comput. Pract. Exp., 2021)

One-Shot Federated Learning-based Model-Free Reinforcement Learning. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001; Nagat Drawel (DBB, 2022)

Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001 (IWCMC, 2022)

Active Federated YOLOR Model for Enhancing Autonomous Vehicles Safety. - Gaith Rjoub; Jamal Bentahar; Y A Joarder (MobiWIS, 2022)

Formal verification of group and propagated trust in multi-agent systems. - Nagat Drawel; Jamal Bentahar; Amine Laarej; Gaith Rjoub (Auton. Agents Multi Agent Syst., 2022)

Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems. - Omar Abdel Wahab 001; Gaith Rjoub; Jamal Bentahar; Robin Cohen (Inf. Sci., 2022)

Cloud Computing as a Platform for Monetizing Data Services: A Two-Sided Game Business Model. - Ahmed Saleh Bataineh; Jamal Bentahar; Rabeb Mizouni; Omar Abdel Wahab 001; Gaith Rjoub; May El Barachi (IEEE Trans. Netw. Serv. Manag., 2022)

Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001 (IWCMC, 2023)

A Survey on Explainable Artificial Intelligence for Network Cybersecurity. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001; Rabeb Mizouni; Alyssa Song; Robin Cohen; Hadi Otrok; Azzam Mourad (CoRR, 2023)

A Survey on Explainable Artificial Intelligence for Cybersecurity. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001; Rabeb Mizouni; Alyssa Song; Robin Cohen; Hadi Otrok; Azzam Mourad (IEEE Trans. Netw. Serv. Manag., 2023)

Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology. - Gaith Rjoub; Saidul Islam; Jamal Bentahar; Mohammed Amin Almaiah; Rana Al-Rawashdeh (IWCMC, 2024)

A Multi-Modal Unsupervised Machine Learning Approach for Biomedical Signal Processing in CPR. - Saidul Islam; Jamal Bentahar; Robin Cohen; Gaith Rjoub (CoRR, 2024)

A comprehensive survey on applications of transformers for deep learning tasks. - Saidul Islam; Hanae Elmekki; Ahmed Elsebai; Jamal Bentahar; Nagat Drawel; Gaith Rjoub; Witold Pedrycz (Expert Syst. Appl., 2024)

Trust-driven reinforcement selection strategy for federated learning on IoT devices. - Gaith Rjoub; Omar Abdel Wahab 001; Jamal Bentahar; Ahmed Saleh Bataineh (Computing, 2024)

Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection. - Gaith Rjoub; Omar Abdel Wahab 001; Jamal Bentahar; Robin Cohen; Ahmed Saleh Bataineh (Inf. Syst. Frontiers, 2024)

A multi-modal unsupervised machine learning approach for biomedical signal processing during cardiopulmonary resuscitation. - Saidul Islam; Jamal Bentahar; Robin Cohen; Gaith Rjoub (Inf. Sci., 2025)

Enhanced Dynamic Deep Q-Network for Federated Learning scheduling policies on IoT devices using explanation-driven trust. - Gaith Rjoub; Hanae Elmekki; Jamal Bentahar; Witold Pedrycz; Sofian Kassaymeh; Shahed Bassam Almobydeen; Rachida Dssouli (Knowl. Based Syst., 2025)

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments. - Gaith Rjoub; Hanae Elmekki; Saidul Islam; Jamal Bentahar; Rachida Dssouli (CoRR, 2025)

Integration of Deep Learning and Image Segmentation in Computational Modeling for Improved Biospeckle Image Analysis. - Hatem S. A. Hamatta; Ch. L. N. Deepika; Gaith Rjoub; Sofian Kassaymeh; R. Manikandan; Sanjay Kumar Suman; L. Bhagyalakshmi 001 (SN Comput. Sci., 2025)

Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques. - Saidul Islam; Gaith Rjoub; Hanae Elmekki; Jamal Bentahar; Witold Pedrycz; Robin Cohen (Artif. Intell. Rev., 2025)