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Vijay Govindarajan

Colorado State University

United States

Research Interests

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Articles (29)

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Collaborators (10)

Muhammad Umair Ali

Sejong University

SOUTH KOREA

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Ali Kashif Bashir

Professor of Networks and Cybersecurity

Manchester Metropolitan University

UNITED KINGDOM

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Theyazn H. H. Aldhyani

king faisal university

SAUDI ARABIA

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Qin Xin

DENMARK

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Lip Yee Por

Professor

University of Malaya

MALAYSIA

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Anum Masood

Assistant Professor/ Dr

Norwegian University of Science and Technology

NORWAY

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Sarra Ayouni

princess nourah bint abdulrahman university

SAUDI ARABIA

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Amr Yousef

College of Engineering

SAUDI ARABIA

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Chin Soon Ku

Assistant Professor

Universiti Tunku Abdul Rahman (UTAR)

MALAYSIA

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Manel Ayadi

Associate Professor

princess nourah bint abdulrahman university

SAUDI ARABIA

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Vijay Govindarajan

Research Interests

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Articles (29)

PEAO: a bio-inspired parallel optimizer with a multi-strategy communication mechanism for breast cancer diagnosis

Q-AudioShield: Quantum-Resilient Audio Watermarking and Authentication Framework for Secure CIoT Multimedia Streams

LLMEdgeSec: LLM-Enabled Log Reasoning for Zero-Day IoT Threat Detection

CardioGPT-ViT: Explainable Deep Learning Models With Multimodal Data for Coronary Artery Disease and Heart Failure on Edge Consumer Devices

A picture fuzzy multi-criteria decision-making framework for evaluating urban planning proposals under uncertainty

FUSE-Net: A hybrid ensemble learning framework for securing cloud-based intelligent transport systems in African smart mobility networks

Activity Recognition Empowered Autonomic Systems with Generative Artificial Intelligence

A Similarity Measures-Based TOPSIS Method for Neutrosophic Hypersoft Set with Application in Crop Production

BioTwinXAI-Eye: A Consumer-Centric Digital Twin for Explainable and Personalized Risk Prediction of Diabetic Retinopathy and Glaucoma

Chain-Visage: Blockchain-Assisted Visual Content Ownership and Tamper Tracing in CIoT Multimedia Ecosystems

SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT

Aegis-5: A Hybrid Ensemble Framework for Intrusion Detection in Industry 5.0 Driven Smart Manufacturing Environment

A Comparative Study of Classical Machine Learning and Deep Learning Approaches for Human Behavior Detection Using Multisensor Data

CardioTwin-XAI: A Consumer-Centric Digital Twin Framework for Predictive Risk Stratification and Personalized Management of Coronary Artery Disease in Healthcare 5.0

MediChain-FSL: A Blockchain-Integrated Federated Semi-Supervised Learning System for Secure Breast Cancer Diagnosis in Smart Home Healthcare Devices

NeuroCare-SCC: An AI-Enhanced Integrated Sensing–Communication–Computing–Control Framework for Cognitive Health Monitoring

NeuroShield-Diabetes: A Hybrid Nature-Inspired Neural Cryptography and Machine Learning framework for Privacy-Preserving Diabetes Data Sharing in Consumer Health

Optimized federated learning framework with RegNetZ and Swin-Transformer for multimodal pancreatic cancer detection1

Predicting Autism Spectrum Disorder in Children Using Glowworm Optimization With Extreme Learning Machine Networks

SCAG-Net: Automated Brain Tumor Prediction from MRI Using Cuttlefish-Optimized Attention-Based Graph Networks

Advanced cloud intrusion detection framework using graph based features transformers and contrastive learning

MSPO: A machine learning hyperparameter optimization method for enhanced breast cancer image classification

<b>ROLE OF CLOUD-DEPLOYED GRAPH NEURAL NETWORKS IN MAPPING CORONARY ARTERY DISEASE PROGRESSION: A SYSTEMATIC REVIEW</b>

A Novel System for Managing Encrypted Data Using Searchable Encryption Techniques

DDoS Attack Detection in Consumer IoT-Based Healthcare Systems Using Improved Off-Policy Proximal Policy Optimization and Generative Adversarial Network

Enhancing Cryptographic Security in Smart Consumer Electronics with a Hybrid Classical–Post-Quantum Framework

Federated Learning-Driven Privacy-Preserving Framework for Decentralized Data Analysis and Anomaly Detection in Contract Review

OcuMDNet: A Lightweight CNN for Robust Multi-Disease Retinal Diagnosis with Cross-Dataset Reliability

Privacy-Aware Hierarchical Federated Learning in Healthcare: Integrating Differential Privacy and Secure Multi-Party Computation

Collaborators (10)

Muhammad Umair Ali

Ali Kashif Bashir

Theyazn H. H. Aldhyani

Qin Xin

Lip Yee Por

Anum Masood

Sarra Ayouni

Amr Yousef

Chin Soon Ku

Manel Ayadi

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