S. Preethi

Teja, M. D., Khafajeh, H., Bahl, A., Preethi, S., & Venkatraman, A. (2026). Federated Multi-Modal Learning System for Privacy-Preserving Medical Diagnostics in Next-Generation Healthcare. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/AIEI69164.2026.11496674

Balamurugan, M., Odeh, M., Singla, A., Preethi, S., Ramya, M., & Siri, D. (2026). Energy-Aware RISC-V SoC with Integrated AI Accelerator for Edge Computing Applications. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/AIEI69164.2026.11497244

Desai, P., Karthik, P., Loganathan, D., Preethi, S., Bharani, B., & Jayanthi, M. (2026). Understanding Blockchain and Its Foundations: The Evolution Towards Decentralized Systems. CRC Press. https://doi.org/10.1201/9781003559849-6

Vithya, R., Jothimani, P., Bharath, S., Preethi, S., & Chakrapani, G. (2026). A Novel Multi-Perspective Deep Learning Associated Magnetic Resonance Imaging for Multi-Parametric Disease Diagnosis. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICSES66558.2026.11479172

Abirami, N., Samhan, A. A., Sethi, G., Preethi, S., & Parimala, R. (2026). An Ensemble Learning Torching for Brain Tumor Patient Survival Prediction. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/AIEI69164.2026.11497336

Barik, B., Sairam, M., Naresh, N., & Preethi, S. (2025). Channel Estimation for Massive MIMO-OFDM Systems Using Heterogeneous Edge-Enhanced Graph Hamiltonian Quantum Generative Adversarial Networks with Imperfect Channel State Information. Transactions on Electrical and Electronic Materials. https://doi.org/10.1007/s42341-025-00649-1

Lakshmi, D., Madhusudhan, A., Muniyandy, E., & Preethi, S. (2025). Return-Aligned Random Graph Diffusion with Dual-Channel Temporal Convolutional Network-Based Classification of Epithelial Ovarian Cancer on T2W-MRI. Biomedical Materials and Devices. https://doi.org/10.1007/s44174-025-00381-7

Jayanthi, M., Shashikumar, D., & Preethi, S. (2022). Eggplant leaf disease detection and segmentation using adaptively regularized multi Kernel-Based FuzzyC-Means and Optimal PNN classifier. Indian Journal of Computer Science and Engineering, 13(5), 1542-1558,. https://doi.org/10.21817/indjcse/2022/v13i5/221305073

Desai, P., Preethi, S., Loganathan, D., & Bharani, B. (2023). Qualitative and Quantitative Data Analysis using Classification, and Ensemble Techniques to Optimize and Predict the Performance of Reviews. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICAEECI58247.2023.10370889