Browse by Employee ID

202641048485 (2026) A system and a method for domain-adaptive explainable lung disease classification. : IN202641048485 A1.

202641044887 (2026) A system and a method of interpretable morphology-based hematologic diagnosis and risk scoring. IN202641044887 A1.

202641048135 (2026) A SYSTEM AND A METHOD FOR INTERPRETABLE LEUKEMIC DIAGNOSTICS FROM MICROSCOPY IMAGES. : IN202641048135 A1.

Renuga, S and Dr. Padma, R and Dr. Parameswari, R (2026) The Passion Compass: Using Machine Learning To Align Academic Talent With Career Success. In: Optimization Techniques for Computational Mathematics, Network Analysis, Fluid Mechanics and Machine Learning. SRR, pp. 1-16. ISBN 978-81-685538-5-9

Vels Institute of Science, Technology & Advanced Studies (2026) AI based Respiratory Sensing and Disease Prediction Device. 202641019946.

Maria Sofia, R B and Parameswari, R (2026) Cloud-Enabled Preprocessing and Feature Extraction Framework for Hydrocephalus Detection from MRI Scans. In: Cloud-Enabled Preprocessing and Feature Extraction Framework for Hydrocephalus Detection from MRI Scans.

Jyothilakshmi, K N and Parameswari, R (2025) Pulmonary Disease Detection from Chest x-ray Images using Dragonfly Enhanced Artificial bee Colony Hybrid Optimisation Technique. JOURNAL OF APPLIED BIOANALYSIS, 11 (13s). pp. 197-210. ISSN 2405-710X

Legapriyadharshini, N. and Nanthini, S. and Parameswari, R. and Kalarani, P. and Vijayalakshmi, R. and Rajasekar, M. (2025) Predictive Maintenance in Smart Systems with Temporal Convolutional Networks (TCN) and Autoencoders: Algorithm Optimization, Intelligent Systems, Blockchain, Cryptography and Cybersecurity. Mathematical Methods in Artificial Intelligence: Algorithm Optimization, Intelligent Systems, Blockchain, Cryptography and Cybersecurity. pp. 49-62.

Parameswaran, Sreelakshmi Kakkat and Parameswari, R (2025) Regularization Proximity Censored Regressive Deep Reinforcement Learning for IoT aware Plant Disease Prediction. In: 2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

KN, Jyothilakshmi and Parameswari, R (2025) Multiple Lung Disease Classification Using Fine Tuned Transfer Learning: An Explainable AI Approach. In: 2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

Indumathi, M. and Parameswari, R (2025) Multivariate Radial Interpolation Based Ruzicka Indexive Censored Regression for Early Prediction of Cardiovascular Disease. In: 2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC), GB Nagar, Gwalior, India.

Sheeba, R M and Parameswari, R (2026) Privacy of Medical Data Using Hierarchical Deep Learning Fused Long-Short Term Memory Based Secret Key Generation. In: Privacy of Medical Data Using Hierarchical Deep Learning Fused Long-Short Term Memory Based Secret Key Generation. Proceedings of Fifth International Conference on Advances in Computer Engineering and Communication Systems, pp. 181-188.

Radha, K and Parameswari, R (2026) DDoS Attack Detection and Prevention with Local Monitoring Attack Detection (Lm-Ad) Scheme Under SDN Context in Cloud Computing. In: Proceedings of Fifth International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2024). Springer, pp. 267-276.

Malathi, P. and Parameswari, R. (2026) Multi Variant Deep Transfer Learning Analytics Model for Improved Health Care Solution Using Big Data. In: 2026 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL), Birendranagar, Nepal.

Indumathi, M. and Parameswari, R. (2025) Laplace Kernel Adaptive Tuning Optimized Transfer Learning for Cardiovascular Disease Prediction. In: 2025 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.

Sadakathulla, P.K and Parameswari, R. (2026) Lungs Disease Classification Using an Self Attention Based Neural Network: A Local Agnostic Explainable Approach. In: Lungs Disease Classification Using an Self Attention Based Neural Network: A Local Agnostic Explainable Approach.

Sadakuthulla, P K and Parameswari, R (2025) An Integrative Hybrid Deep Learning Framework for Complex Multifaceted Lung Pathologies Classification using Chest X-Rays. In: 2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.