P. Umamaheswari

P. UmamaheswariUmamaheswari P. received M.Tech in Computer Science from SASTRA Deemed University, Thanjavur, Tamil Nadu, India in 2011 and M.B.A. from Alagappa University, Karaikudi, Tamil Nadu, and India in the year 2006. She is pursuing a doctoral degree in Computer Science and Engineering from SASTRA Deemed University. She has 18 years of teaching experience in UG and PG courses in Computer Science and presently works as an Assistant Professor in the department of computer science and engineering at SASTRA University, SRC Campus, and Kumbakonam. Her research interests are in Data Mining, Machine Learning, and Deep learning. She published research papers in Book chapters, International Conferences, and Scopus Indexed Journals.

Publications

Enhancing Rainfall Prediction Accuracy Through Fog Computing: Integration of Advanced Algorithms and Edge Analytics
Enhancing Rainfall Prediction Accuracy Through Fog Computing: Integration of Advanced Algorithms and Edge Analytics
P. Umamaheswari, V. Ramaswamy. © 2024. 20 pages.
Rainfall prediction is a pivotal aspect of climate forecasting, influencing agriculture, water resource management, and disaster preparedness. This comprehensive review explores...
From Theory to Practice: A Comprehensive Review of Osmotic Computing
From Theory to Practice: A Comprehensive Review of Osmotic Computing
P. Umamaheswari. © 2024. 17 pages.
In the evolving landscape of distributed computing, the integration of edge devices with traditional cloud infrastructures necessitates innovative approaches to harness their...
Mapping Redox Conditions and pH in Indian Drinking Water System Using Machine Learning Models
Mapping Redox Conditions and pH in Indian Drinking Water System Using Machine Learning Models
P. Umamaheswari, V. Ramaswamy. © 2024. 17 pages.
The successful utility of groundwater resources requires estimation of contaminants occurring at a regional scale and for the risk estimation of drinking water supplies. Based on...
Potential Market-Predictive Features Based Bitcoin Price Prediction Using Machine Learning Algorithms
Potential Market-Predictive Features Based Bitcoin Price Prediction Using Machine Learning Algorithms
Umamaheswari P., Abiramasundari S., Kamaladevi M., Dinesh P.. © 2023. 13 pages.
Bitcoin is a type of digital currency or computerized money that is utilised for speculation around the world. Bitcoins are files that are saved in a digital wallet programme on...
Classification of Quality of Water Using Machine Learning
Classification of Quality of Water Using Machine Learning
P. Umamaheswari, M. Kamaladevi. © 2023. 16 pages.
Keeping a check on the quality of water is necessary for protecting both the health of humans and of the environment. AI can be used to classify and predict water quality. The...
Fake News Detection With the Help of Computation Time to Increase Accuracy
Fake News Detection With the Help of Computation Time to Increase Accuracy
P. Umamaheswari, N. Umasankari, Selvakumar Samuel. © 2023. 23 pages.
Newspapers were the primary source of receiving news. Though they were slow in getting us the news, they were reliable since almost every piece of an article printed in...
Water-Level Prediction Utilizing Datamining Techniques in Watershed Management
Water-Level Prediction Utilizing Datamining Techniques in Watershed Management
Umamaheswari P.. © 2022. 15 pages.
The massive wastage of water occurs due to irregular heavy rainfall and water released from dams. Many statistical methods are of the previous techniques used to predict water...