Search Results - "Rjoub, Gaith"

Formal verification of group and propagated trust in multi-agent systems by Drawel, Nagat, Bentahar, Jamal, Laarej, Amine, Rjoub, Gaith

“…While modeling trust in multi-agent systems provides a fundamental basis for promoting safe interactions and imitating agents reasoning mechanisms, exploiting…”
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Detecting DDoS attacks using machine learning algorithms and feature selection methods by Almaiah, Mohammed Amin, Alrawashdeh, Rana, Alkhdour, Tayseer, Al-Ali, Romel, Rjoub, Gaith, Aldahyani, Theyazan

“…A Distributed Denial of Service (DDoS) attack occurs when an attacker tries to disrupt a network, service or website by flooding huge numbers of packets on the…”
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BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments by Rjoub, Gaith, Bentahar, Jamal, Wahab, Omar Abdel

“…Big data task scheduling in cloud computing environments has gained considerable attention in the past few years, due to the exponential growth in the number…”
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Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems by Wahab, Omar Abdel, Rjoub, Gaith, Bentahar, Jamal, Cohen, Robin

“…•Federated learning-based recommendation system for cold-start items.•Trust establishment for recommenders that considers resource utilization and…”
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Trust-driven reinforcement selection strategy for federated learning on IoT devices by Rjoub, Gaith, Wahab, Omar Abdel, Bentahar, Jamal, Bataineh, Ahmed

“…Federated learning is a distributed machine learning approach that enables a large number of edge/end devices to perform on-device training for a single…”
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A comprehensive survey on applications of transformers for deep learning tasks by Islam, Saidul, Elmekki, Hanae, Elsebai, Ahmed, Bentahar, Jamal, Drawel, Nagat, Rjoub, Gaith, Pedrycz, Witold

“…Transformers are Deep Neural Networks (DNN) that utilize a self-attention mechanism to capture contextual relationships within sequential data. Unlike…”
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Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection by Rjoub, Gaith, Wahab, Omar Abdel, Bentahar, Jamal, Cohen, Robin, Bataineh, Ahmed Saleh

“…In the context of distributed machine learning, the concept of federated learning (FL) has emerged as a solution to the privacy concerns that users have about…”
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An endorsement-based trust bootstrapping approach for newcomer cloud services by Wahab, Omar Abdel, Cohen, Robin, Bentahar, Jamal, Otrok, Hadi, Mourad, Azzam, Rjoub, Gaith

“…•Endorsement-based trust bootstrapping approach for newcomer cloud services using machine learning.•Two-level dishonesty discouragement mechanism to fight…”
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Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems by Rjoub, Gaith, Bentahar, Jamal, Abdel Wahab, Omar, Saleh Bataineh, Ahmed

“…Summary Cloud computing is undeniably becoming the main computing and storage platform for today's major workloads. From Internet of things and Industry 4.0…”
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Developing surface plasmon resonance imaging for discrete particle detection based on a silver layer coated with polyacrylic acid/iodine polyelectrolyte brushes by Al-Bataineh, Qais M., Rjoub, Gaith, Telfah, Ahmad D., Ahmad, Ahmad A., Tavares, Carlos J., Hergenröder, Roland

“…[Display omitted] •A wide-field surface plasmon resonance microscope (WF-SPRM) performs real-time imaging of discrete particles.•WF-SPRM based on a silver…”
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A Survey on Explainable Artificial Intelligence for Cybersecurity by Rjoub, Gaith, Bentahar, Jamal, Wahab, Omar Abdel, Mizouni, Rabeb, Song, Alyssa, Cohen, Robin, Otrok, Hadi, Mourad, Azzam

“…The "black-box" nature of artificial intelligence (AI) models has been the source of many concerns in their use for critical applications. Explainable…”
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Cloud Computing as a Platform for Monetizing Data Services: A Two-Sided Game Business Model by Bataineh, Ahmed Saleh, Bentahar, Jamal, Mizouni, Rabeb, Abdel Wahab, Omar, Rjoub, Gaith, Barachi, May El

“…We argue in this paper that the role of the cloud should be reshaped from being a passive virtual market to become an active platform for monetizing data. The…”
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Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving by Rjoub, Gaith, Bentahar, Jamal, Wahab, Omar Abdel

“…Recently, the concept of autonomous driving became prevalent in the domain of intelligent transportation due to the promises of increased safety, traffic…”
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Cloud Task Scheduling Based on Swarm Intelligence and Machine Learning by Rjoub, Gaith, Bentahar, Jamal

“…Cloud computing is the expansion of parallel computing, distributed computing. The technology of cloud computing becomes more and more widely used, and one of…”
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Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning by Rjoub, Gaith, Bentahar, Jamal, Wahab, Omar Abdel

“…Autonomous driving has been gaining a lot of attention in the field of transportation technology in recent years. The use of autonomous vehicles has the…”
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Machine Learning Innovations in CPR: A Comprehensive Survey on Enhanced Resuscitation Techniques by Islam, Saidul, Rjoub, Gaith, Elmekki, Hanae, Bentahar, Jamal, Pedrycz, Witold, Cohen, Robin

“…This survey paper explores the transformative role of Machine Learning (ML) and Artificial Intelligence (AI) in Cardiopulmonary Resuscitation (CPR). It…”
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Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud by Rjoub, Gaith, Bentahar, Jamal, Abdel Wahab, Omar, Bataineh, Ahmed

“…With the widespread adoption of Internet of Thing (IoT) and the exponential growth in the volumes of generated data, cloud providers tend to receive massive…”
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Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology by Rjoub, Gaith, Islam, Saidul, Bentahar, Jamal, Almaiah, Mohammed Amin, Alrawashdeh, Rana

“…The proliferation of the Internet of Things (IoT) has led to an explosion of data generated by interconnected devices, presenting both opportunities and…”
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Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology by Rjoub, Gaith, Islam, Saidul, Bentahar, Jamal, Almaiah, Mohammed Amin, Alrawashdeh, Rana

“…The proliferation of the Internet of Things (IoT) has led to an explosion of data generated by interconnected devices, presenting both opportunities and…”
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A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks by Islam, Saidul, Elmekki, Hanae, Elsebai, Ahmed, Bentahar, Jamal, Drawel, Najat, Rjoub, Gaith, Pedrycz, Witold

“…Transformer is a deep neural network that employs a self-attention mechanism to comprehend the contextual relationships within sequential data. Unlike…”
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