RR
R Kanesaraj Ramasamy
Also known as: Dr Kanes
Research areas: Computer Science · Information Systems · Artificial Intelligence in Healthcare · Service-Oriented Architecture and Web Services · Phonocardiography and Auscultation Techniques
0000-0002-2780-6069
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Publications (50)
- ThyroTrans-XGB: A Hybrid Transformer and Gradient Boosting Framework for Thyroid Disease Classification Save
- Hierarchical Transformer for Classifying Depressive-Episode Conditions from Wrist Actigraphy: A Preliminary Participant-Level Study Save
- REST Versus SOAP in Modern Enterprise Systems: A Structured Literature Review Save
- A Raspberry Pi-based digital stethoscope: Advancing real-time heart and lung sound diagnostics with IoT and machine learning integration Save
- Latency-Aware Hybrid Transformer–Capsule Network for Audio-Visual Emotion Recognition in Edge–Fog–Cloud Environments Save
- Graph-Enhanced Transformer for Cross-Domain Sentiment Analysis: Integrating RoBERTa with Graph Attention Networks Save
- Prediction of heart sound using the xLSTM method for hypertrophic cardiomyopathy Save
- Real-time heart sound denoising for cardiac disease detection using SVM Save
- Review of advancements in AI-assisted lung sound analysis for respiratory illness diagnosis in noisy environments Save
- An Uncertainty-Aware Transformer–Fuzzy Framework for Parkinson’s Disease Detection Using Handwritten Motor Patterns Save
- Enhancing Respiratory Disease Diagnosis with AI Lung Sound Analysis: A Web-Based Approach Save
- Acceptance of Technological Innovations in Emergency Departments: An Empirical Study Based on an Extended TAM Save
- DFSel-FT: A Differentiable Feature Selection and FT-Transformer Framework for Interpretable Thyroid Disease Classification Using Tabular Data Save
- A Safety-Enhanced and Trust-Aware Recommendation Framework for Travel Companion Matching Save
- Attention-Based Transformer Framework with Predictive Uncertainty Quantification for Multi-Crop Yield Forecasting Save
- A Hybrid Transformer–Graph Framework for Curriculum Sequencing and Prerequisite Optimization in Computer Science Education with Explainable AI Save
- Hybrid Machine Learning Architectures for Emergency Triage: A Systematic Review of Predictive Performance and the Complexity Gradient Save
- Implementation of a Runtime Performance Evaluation Framework for Edge Computing on Raspberry Pi 4 Save
- A Deployment-Oriented Hybrid Semantic–QoS Framework for Web Service Selection: A Comparative Study of Transformer Encoders Save
- A Systematic Review of Machine-Learning-Based Detection of DDoS Attacks in Software-Defined Networks Save