2025
- Pragya Gupta, and Ruthvik Avadhanam, Manohara M. M. Pai, Radhika M. Pai. “Sequential Deep Learning Model Development for Battery Remaining Useful Life Forecasting and Anomaly Detection.” In 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA), pp. 1–6. IEEE, 2024.
- Chakraborty, Abhigyan, and K. C. Akshay. “Penetration Testing IoT Devices to Discover Critical Vulnerabilities.” In 2024 2nd International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS), pp. 54–59. IEEE, 2024.
- Garg, Akshat, and Manjula Shenoy. “Performance Analysis of Deep Neural Networks and YOLOv8n Algorithm in Early Detection of Skin Cancer.” In 2024 2nd International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS), pp. 124–129. IEEE, 2024.
- Chavare, Pranav, Pankaj Kumar, Nikita Goel, and Manoj Tolani. “UAV-Assisted IRS-SIMO System in 6G Communication.” In 2025 International Conference on Microwave, Optical, and Communication Engineering (ICMOCE), pp. 1–5. IEEE, 2025.
- Chowdhury, Parva, Aditya Goutam Shah, Mamatha Balachandra, and Radhika Kamath. “Identification and Mitigation of Advanced Cyber Threats in Real-World Environments.” In World Conference on Information Systems for Business Management, pp. 19–27. Springer Nature, Singapore, 2024.
2024
- Bhat, Pushkar, Manohara Pai MM, and Radhika M. Pai. “Anomaly detection using Federated Learning: A Performance Based Parameter Aggregation Approach.” In 2023 3rd International Conference on Intelligent Technologies (CONIT), pp. 1-6. IEEE, 2023.
- Adesh, N. D., M. Harshith, Siddh Bhardwaj, and A. Renuka. “Segregation of Dehusked Arecanut using Artificial Intelligence Technique on Raspberry Pi.” In 2023 IEEE North Karnataka Subsection Flagship International Conference (NKCon), pp. 1-6. IEEE, 2023.
- Shenoy, Karthik, Manohara MM Pai, and Radhika M. Pai. “Siamese Network Based Anomaly Detection Framework for Robust Federated Learning.” In 2023 3rd International Conference on Intelligent Technologies (CONIT), pp. 1-6. IEEE, 2023.
2023
- Radhakrishnan, Srijith, Nikhil C. Mohan, Manisimha Varma, Jaithra Varma, and Smitha N. Pai. “Cross Transferring Activity Recognition to Word Level Sign Language Detection.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2446-2453. 2022.
- Maurya, Yash, Prahaladh Chandrahasan, and G. Poornalatha. “Federated Learning for Colorectal Cancer Prediction.” In 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), pp. 1-5. IEEE, 2022.