Article

Hemkiran, S and Harsith, S and Lakshana, G and Sunitha Nandhini, A (2025) Predictive Modeling of Renal Amyloidosis Using XGBoost: A Machine Learning Approach to Early Risk Estimation. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-8.

Mohamed Shahid, A and Jayasri, P A and Sunitha Nandhini, A and Manimegalai, R and Kavitha, M and Janeshwaran, P (2025) Automated Minutiae Extraction and Fingerprint Analysis Using Machine Learning Techniques. 2025 International Conference on Computational Innovations and Engineering Sustainability (ICCIES). pp. 1-9.

Sathya, Balaji and Manimegalai, R and Sunitha Nandhini, A (2024) Enhancing Cardiovascular Disease Prediction with EML-Iot Integration. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 158-163.

Bharath, S and Dhanashree, D and Nandika, M and Sunitha Nandhini, A (2024) Intrusion Detection in SDN Using Ensemble Learning Technique. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 191-196.

Visali, V S and Manimegalai, R and Sunitha Nandhini, A (2024) Performance Analysis of Parallelized PageRank Algorithm using OpenMP, MPI and CUDA. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 44-49.

Book Section

Sunitha Nandhini, A (2025) Smart Traffic Light Controller System and Traffic Congestion. In: Applications of Computational Intelligence in Management and Mathematics II. ICCM 2023. Springer, Singapore, pp. 33-43.