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Ateeq Ur Rehman

Lecturer

Staffordshire University

United Kingdom

Research Interests

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Dr. Ateeq Ur Rehman is a Lecturer at Staffordshire University in the UK. His research areas encompass secure energy-aware power control in the Internet of Things, blockchain-based models for intelligent healthcare systems, and privacy in human activity recognition. He has published numerous articles, including works on ensemble learning for cyberattack detection and secure communication schemes for Industrial IoT.

Articles (28)

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Collaborators (7)

Mian Ahmad Jan

Associate Professor

university of sharjah

UNITED ARAB EMIRATES

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Sohail Abbas

Associate Professor

university of sharjah

UNITED ARAB EMIRATES

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Ateeq Ur Rehman

Assistant Professor

Gachon University

SOUTH KOREA

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Fazl Ullah

Assistant Professor of Computer Science

University of Nottingham Ningbo China (UNNC)

CHINA

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Awais Khan

Beijing Institute of Technology

CHINA

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Habib Hamam

Université de Moncton

CANADA

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Abdulrahman Ghandoura

Assistant professor

umm al-qura university

SAUDI ARABIA

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Ateeq Ur Rehman

Research Interests

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About

Articles (28)

A Dual-Optimized Framework for AI-Driven Data Generation and Secure Internet of Vehicles Network Integration

A Communication-Aware Clustered Framework for Demand Response Management in 5G-Enabled Smart Grids

Integration of Artificial Intelligence with Real-Time IoT Based Distributed Edge-Cloud Frameworks: Applications, Challenges, and Solutions

Deep Pseudogene Categorization and Genome-Wide Transcription Prediction Using GANP-Based Feature Selection and TabNet Interpretability

Correction: Kumar et al. A Novel Decentralized Blockchain Architecture for the Preservation of Privacy and Data Security Against Cyberattacks in Healthcare. Sensors 2022, 22, 5921

Multi-Agent-Based Cognitive Intelligence in Non-Linear Mental Healthcare-Based Situations

Secure Energy Aware Power Control in Consumer Internet of Things With Semi Grant Free NOMA

Optimized network-centric MPC using time-delay autoregressive model

A Provenance-Centric Approach to Code Smell Reduction using Human-in-Loop Approach

Deep learning based ensemble model for accurate tomato leaf disease classification by leveraging ResNet50 and MobileNetV2 architectures

DenseSwinGNNNet: A Novel Deep Learning Framework for Accurate Turmeric Leaf Disease Classification

Distributed consensus control of generalized one-sided Lipschitz multiagents under sector-based actuator saturation: application to UAVs

Examining the landscape of proctoring in upholding academic integrity: a bibliometric review of online examination practices

Hybrid Deep Learning Model for Date Palm Disease Classification: A Fusion of HybridConv Mixer and Vision Transformer

Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders

Privacy-Preserving Federated Learning for Secure Healthcare Data Processing

Sum Rate Maximization for 6G Beyond Diagonal RIS-Assisted Multi-Cell Transportation Systems

Tracking vital signs of a patient using channel state information and machine learning for a smart healthcare system

VGG-EffAttnNet: Hybrid Deep Learning Model for Automated Chili Plant Disease Classification Using VGG16 and EfficientNetB0 With Attention Mechanism

A Blockchain-Based Hybrid Model for IoMT-Enabled Intelligent Healthcare System

FEDge-HAR: An Optimized Private Mobile Edge-Enabled IoT Paradigm for Privacy of Human Activity Recognition

Hyperledger Fabric Based Post Quantum Cryptography Healthcare Application Using Discrete Event Simulation

A Secure Ensemble Learning-Based Fog-Cloud Approach for Cyberattack Detection in IoMT

Sentiment Analysis Using Hybrid Model of Stacked Auto-Encoder-Based Feature Extraction and Long Short Term Memory-Based Classification Approach

A Secured and Reliable Continuous Transmission Scheme in Cognitive HARQ-Aided Internet of Things

A Secured and Reliable Continuous Transmission Scheme in Cognitive HARQ-Aided Internet of Things

iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model

A Secured and Intelligent Communication Scheme for IIoT-enabled Pervasive Edge Computing

Collaborators (7)

Mian Ahmad Jan

Sohail Abbas

Ateeq Ur Rehman

Fazl Ullah

Awais Khan

Habib Hamam

Abdulrahman Ghandoura

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