G. Padmapriya

G. Padmapriya (Padmapriya Govindhan) is Currently working as an Assistant Professor in the Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur. She received her M.E. degree in Computer Science and Engineering from K.S.Rangaswamy College of Technology, Tiruchengode, India affiliated to Anna University, Chennai, India in 2008 and was awarded Ph.D. in Information and Communication Engineering from Anna University, Chennai, India in the year 2016. She has 15 years teaching experience. She has published numerous papers in reputed journals and conferences. Her research interests include Data Mining, Artificial Intelligence, Machine Learning, Natural Language Processing, Data Analytics and Internet of Things.

Publications

Cloud Computing and Machine Learning in the Green Power Sector: Data Management and Analysis for Sustainable Energy
Cloud Computing and Machine Learning in the Green Power Sector: Data Management and Analysis for Sustainable Energy
Satyanarayana Tirlangi, Shashiraj Teotia, G. Padmapriya, S. Senthil Kumar, Sunita Dhotre, S. Boopathi. © 2024. 32 pages.
The green power sector is revolutionizing energy production, grid management, and sustainability by integrating cloud computing and machine learning techniques. This chapter...
A Systematic Review: Future Prospects and Challenges to IoT-Based EHRs in the Healthcare Industry
A Systematic Review: Future Prospects and Challenges to IoT-Based EHRs in the Healthcare Industry
N. Manikandan, A. Devi Priya, D. Vinod, M. Suresh Ananad, G. Padmapriya. © 2024. 28 pages.
In modern era, the internet of things (IoT) has transfigured the medical industry, empowering the unified collection and exchange of patient data. However, this increased...
Unlocking Biologica Insights: Harnessing Machine Learning for Analysis in Complex Biological Data
Unlocking Biologica Insights: Harnessing Machine Learning for Analysis in Complex Biological Data
P. Nancy, G. Padmapriya, M. Suresh Anand, D. Vinod, R. Anto Arockia Rosaline. © 2024. 18 pages.
Recently, researchers in the field of bioinformatics have demonstrated a significant amount of interest in the use of computational methods for the purpose of forecasting...