A Review on AI-Driven Multi-Modal Data Integration in Personalized Medicine: Advancements in Diagnosis, Prognosis, and Treatment Optimization
Conference Paper
Year: 2025.
Authors: Manivannan E; Karthick Pandi J; Bhuvaneswari P; Yamini Priya V; Sasikala R; Prabhu R
Emerging Trends in Machine Learning-Driven Fall Detection: A Review of Deep Learning Architectures, Sensor Fusion and Edge Computing for Real-Time Applications
Integrating Multi-Criteria Decision Making and Random Forest Framework for Product Advisory System
Conference Paper
Year: 2025.
Pages: 1121-1127
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Authors: Velusamy A; Gows Maithine A; Gokul K K; Harish Madavan K M; Prabhu R; Vasudevan I
Predictive Modeling of Knee Osteoarthritis Severity Using Machine Learning Techniques: A Comparative Analysis
Conference Paper
Year: 2024.
Authors: Manivannan E; Karthick Pandi J; Bhuvaneswari P; Yamini Priya V; Prabhu R; Santhosh Kumar C
Learning-Driven Job Recommendation Systems: A Comprehensive Review of Deep Semantic, Transformer-Enhanced, Ontology-based and NLP-Bidirectional Approaches
Explainable Artificial Intelligence for Loan Approval and Credit Risk Assessment: A Comprehensive Review
Conference Paper
Year: 2026.
Pages: 631-636
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Authors: Velusamy A; Mohamed Musthaba S M; Mukuntharaajhan A; Nandhagopal K; Prabhu R; Kaniyarasu K
AI-Driven Transformer Model for Knee Arthritis Detection: Advancements in X-ray-Based Diagnosis and Severity Classification
Conference Paper
Year: 2026.
Authors: Manivannan E; Kaviya M; Bhuvaneswari P; Jayanthi J; Prabhu R; Vasudevan I
Deep Learning and Explainable AI for Knee Osteoarthritis Diagnosis: A Comprehensive Review of Multitask Models, Fairness, and Diagnostic Interpretability