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Gaith Rjoub

Observed name: Rjoub, Gaith
ORCID: 0000-0002-7282-0687
Observed ORCID: 0000-0002-7282-0687
OpenAlex ID: A5004958526
A comprehensive survey on applications of transformers for deep learning tasks
2023 · Saidul Islam, Hanae Elmekki, et al. · Expert Systems with Applications · 591
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A Survey on Explainable Artificial Intelligence for Cybersecurity
2023 · Gaith Rjoub, Jamal Bentahar, et al. · IEEE Transactions on Network and Service Management · 226
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Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems
2020 · Gaith Rjoub, Jamal Bentahar, et al. · Concurrency and Computation Practice and Experience · 168
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems
2022 · Omar Abdel Wahab, Gaith Rjoub, et al. · Information Sciences · 136
BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments
2019 · Gaith Rjoub, Jamal Bentahar, et al. · Future Generation Computer Systems · 102
Trust-driven reinforcement selection strategy for federated learning on IoT devices
2022 · Gaith Rjoub, Omar Abdel Wahab, et al. · Computing · 91
Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection
2022 · Gaith Rjoub, Omar Abdel Wahab, et al. · Information Systems Frontiers · 78
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Integration of Deep Learning and Image Segmentation in Computational Modeling for Improved Biospeckle Image Analysis
2025 · Hatem S. A. Hamatta, Ch. L. N. Deepika, et al. · SN Computer Science · 73
An endorsement-based trust bootstrapping approach for newcomer cloud services
2020 · Omar Abdel Wahab, Robin Cohen, et al. · Information Sciences · 48
Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving
2022 · Gaith Rjoub, Jamal Bentahar, et al. · International Wireless Communications and Mobile Computing Conference (IWCMC) · 46
Improving Autonomous Vehicles Safety in Snow Weather Using Federated YOLO CNN Learning
2021 · Gaith Rjoub, Omar Abdel Wahab, et al. · Lecture notes in computer science · 44
Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud
2019 · Gaith Rjoub, Jamal Bentahar, et al. · International Conference on Future Internet of Things and Cloud (FiCloud) · 42
Formal verification of group and propagated trust in multi-agent systems
2022 · Nagat Drawel, Jamal Bentahar, et al. · Autonomous Agents and Multi-Agent Systems · 34
A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices
2020 · Gaith Rjoub, Omar Abdel Wahab, et al. · Lecture notes in computer science · 30
Recent advances in multi-objective whale optimization algorithm, its versions and applications
2025 · Sharif Naser Makhadmeh, Sofian Kassaymeh, et al. · Journal of King Saud University - Computer and Information Sciences · 29
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Cloud Task Scheduling Based on Swarm Intelligence and Machine Learning
2017 · Gaith Rjoub, Jamal Bentahar · International Conference on Future Internet of Things and Cloud (FiCloud) · 27
Formalizing Group and Propagated Trust in Multi-Agent Systems
2020 · Nagat Drawel, Jamal Bentahar, et al. · International Joint Conference on Artificial Intelligence · 24
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A hybrid swarm intelligence approach for optimizing Multimodal Large Language Models deployment in edge-cloud-based Federated Learning environments
2025 · Gaith Rjoub, Hanae Elmekki, et al. · Computer Communications · 21
Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning
2023 · Gaith Rjoub, Jamal Bentahar, et al. · International Wireless Communications and Mobile Computing Conference (IWCMC) · 18
Enhanced Dynamic Deep Q-Network for Federated Learning scheduling policies on IoT devices using explanation-driven trust
2025 · Gaith Rjoub, Hanae Elmekki, et al. · Knowledge-Based Systems · 16
Cloud Computing as a Platform for Monetizing Data Services: A Two-Sided Game Business Model
2021 · Ahmed Saleh Bataineh, Jamal Bentahar, et al. · IEEE Transactions on Network and Service Management · 16
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Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques
2025 · Saidul Islam, Gaith Rjoub, et al. · Artificial Intelligence Review · 14
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A Game-Based Secure Trading of Big Data and IoT Services: Blockchain as a Two-Sided Market
2020 · Ahmed Saleh Bataineh, Jamal Bentahar, et al. · Lecture notes in computer science · 14
A multi-modal unsupervised machine learning approach for biomedical signal processing during cardiopulmonary resuscitation
2025 · Saidul Islam, Jamal Bentahar, et al. · Information Sciences · 8
Detecting DDoS attacks using machine learning algorithms and feature selection methods
2024 · Mohammed Amin Almaiah, Rana Alrawashdeh, et al. · International Journal of Data and Network Science · 8
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Works count: 46
Citation count: 1,957
H-index: 18
I10-index: 23
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