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Farag Sallabi

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Associate Professor

United Arab Emirates University

United Arab Emirates

Research Interests

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Professors in Cybersecurity

Recent Grants

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Internet of Things Network Management for Smart Healthcare System

Open Date: 2017-01-01

Close Date: 2020-07-01

Articles (16)

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Collaborators (5)

Mohamed Adel Serhani

UNITED ARAB EMIRATES

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Ayaz Ahmad

Associate Professor

king faisal university

SAUDI ARABIA

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Mohammad Hayajneh

Associate Professor

United Arab Emirates University

UNITED ARAB EMIRATES

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Sherzod Turaev

UNITED ARAB EMIRATES

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Abdulmalik Alwarafy

United Arab Emirates University

UNITED ARAB EMIRATES

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Farag Sallabi

Research Interests

Explore related searches

Recent Grants

Articles (16)

Multi-Relay UAV-Assisted STAR-RIS Networks for Efficient Resource Allocation: A Digital Twin-Driven MTDRL Approach

Corrections to “Empowering Healthcare With Cyber-Physical System—A Systematic Literature Review”

AI-Driven Lightweight and Trustworthy Federated Learning Framework for Decision-Making in Resource-Constrained Edge-IoT

Advanced Techniques for Alert Management in Security Information and Event Management Systems With Ensembled Deep Learning, Hybrid Optimization, and Multi-Feature Extraction

Blockchain-Powered Secure and Scalable Threat Intelligence System With Graph Convolutional Autoencoder and Reinforcement Learning Feedback Loop

Empowering Security Operation Center With Artificial Intelligence and Machine Learning—A Systematic Literature Review

Leveraging Game Theory and XAI for Data Quality-Driven Sample and Client Selection in Trustworthy Split Federated Learning

Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks

Optimized edge-cloud task offloading for WBANs: A hierarchical deep-reinforcement-learning approach

Smart Healthcare Network Management: A Comprehensive Review

HCEL: Hybrid Clustering Approach for Extending WBAN Lifetime

Empowering Healthcare With Cyber-Physical System—A Systematic Literature Review

Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects

Efficient Hybrid Fault-Management Clustering Algorithm (HFMCA) in WBANs Based on Weighted Bipartite Graph

Empowering Trustworthy Client Selection in Edge Federated Learning Leveraging Reinforcement Learning

Integrating Cyber-Physical System with Federated-Edge Computing for Diabetes Detection and Management

Collaborators (5)

Mohamed Adel Serhani

Ayaz Ahmad

Mohammad Hayajneh

Sherzod Turaev

Abdulmalik Alwarafy

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