Ramanujam, E., Chandrakumar, T., & Sakthipriya, D. (2023). Investigation on Improving the Performance of Class-imbalanced Medical Health Datasets. In Machine Learning for Healthcare Systems (pp. 1-18). River Publishers. https://doi.org/10.1201/9781003438816-1.
Katiyar, S., Kumar, K., Ramanujam, E., Suganya Devi, K., & Naidu, V. N. (2023). Comparative analysis of lumpy skin disease detection using deep learning models. Deep Learning in Medical Image Processing and Analysis, 79–96. https://doi.org/10.1049/pbhe059e_ch5
Ramanujam, E., & Manikandakumar, M. (2022). Mobile Application-based Assistive System for Visually Impaired People: A Hassle-Free Shopping Support System. Object Detection with Deep Learning Models: Principles and Applications. https://doi.org/10.1201/9781003206736-4
Ramanujam, E., Rasikannan, L., Viswa, S., & Prashanth, B. D. (2021). Predictive Strength of Ensemble Machine Learning Algorithms for the Diagnosis of Large Scale Medical Datasets. In Applications of Big Data in Large-and Small-Scale Systems (pp. 260-281). IGI Global.
Ramanujam, E. (2020). The Dark Web: Hidden Access to Internet Today. In Encyclopedia of Criminal Activities and the Deep Web (pp. 129-139). IGI Global.
Ramanujam, E., & Padmavathi, S. (2019). A vision-based posture monitoring system for the elderly using intelligent fall detection technique. Guide to Ambient Intelligence in the IoT Environment: Principles, Technologies and Applications, 249-269.
Ramanujam, E., & Prianga, M. (2019) Side Channel Attacks in Cloud Computing. In Cognitive Social Mining Applications in Data Analytics and Forensics (pp. 77-98). IGI Global, 2019.
Manikandakumar, M., & Ramanujam, E. (2018). Security and Privacy Challenges in Big Data Environment. In Handbook of Research on Network Forensics and Analysis Techniques (pp. 315-325). IGI Global.