Books Published:

Books

1. Suganthi, K., Karthik, R., Rajesh, G., & Ching, P.H.C. (Eds.). (2021). Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems (1st ed.). CRC Press. https://doi.org/10.1201/9781003107477
2. Ramamurthy, K., Kulanthaivelu, S., Sagayam, K. M., & Dutta, S. (Eds.). (2023). Technologies for Healthcare 4.0: From AI and IoT to Blockchain. IET.

Book chapters
2024

1. Moorthy, R. S., Arikumar, K. S., Prathiba, S. B., & Pabitha, P. (2024). Intelligent Healthcare Provisioning in Fog Using Grey Wolf Optimization. In Computational Intelligence for Green Cloud Computing and Digital Waste Management(pp. 310-329). IGI Global.

2023

1. Shanmugam, S., & Radhakrishnan, M. (2023). A Review of EEG-Based Computer-Aided Detection of Brain Disorders Using a Different Strategy. Transformational Interventions for Business, Technology, and Healthcare, 294-315.
2. Umamaheswari, E., Devi, V. K., Karmel, A., Gururaj, A. D. M., & Bacanin, N. (2023). An exploratory review on Internet of Things in healthcare applications. Technologies for Healthcare 4.0: From AI and IoT to Blockchain, 149.
3. Balasubramani, S., Dhanalakshmi, R., Kavisankar, L., Ramesh, K., Saritha, S., & Pandey, D. (2024). Revolutionizing Supply Chain With Machine Learning and Blockchain Integration. In Utilization of AI Technology in Supply Chain Management(pp. 113-125). IGI Global.
4. Anand, J., & Dhanalakshmi, R. (2024). Hygieia: Multipurpose Healthcare Assistance Using the Internet of Things. In Internet of Medical Things in Smart Healthcare(pp. 77-96). Apple Academic Press.

2022

1. Karthik, R., Menaka, R., Anand, S., Johnson, A., & Srilakshmi, K. (2022). Attention-based residual learning network for COVID-19 detection using chest CT images. In Decision Sciences for COVID-19: Learning Through Case Studies(pp. 367-391). Cham: Springer International Publishing.
2. Sahaaya Arul Mary, S. A., Narayanan, L. K., Mohana, S., Senthamil Selvi, R., Karthik, R., & Ramya, N. (2022). Geographical Information System-Aided Landmark Recognition System Using Machine Learning. In Computer Networks and Inventive Communication Technologies: Proceedings of Fifth ICCNCT 2022(pp. 257-268). Singapore: Springer Nature Singapore.
3. Rajangam, V., Sangeetha, N., Karthik, R., & Mallikarjuna, K. Performance Analysis of VGG19 Deep Learning Network Based Brain Image Fusion. In Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments (pp. 145-166). IGI Globa