R. Anto Arockia Rosaline

Anto Arockia Rosaline R. , Assistant Professor in the Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur Campus, has more than 19 years of experience in teaching and research. She received PhD in Computer Science from VIT University. Her areas of interests are Data Analytics, Data Science, Machine Learning, Text Analytics. She has guided a number of U.G. and P.G. projects. She has presented papers in various international conferences and published number of papers in refereed International Journals. She has delivered invited talk in various forums. She is a member of IEI and Computer society of India. She has received the Active participation Women award. She has also received three Best paper awards for the Oral presentation in various conferences.

Publications

Green Computing-Based Digital Waste Management and Resource Allocation for Distributed Fog Data Centers
Green Computing-Based Digital Waste Management and Resource Allocation for Distributed Fog Data Centers
N. Manikandan, D. Vinod, R. Anto Arockia Rosaline, P. Nancy, G. Premalatha. © 2024. 18 pages.
The term “green computing” describes the efficient use of resources in computing and IT/IS infrastructure. This study suggests a unique method for dispersed fog data centres'...
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...
Randomized Round Crypto Security Encryption Standard for Secure Cloud Storage
Randomized Round Crypto Security Encryption Standard for Secure Cloud Storage
Anitha K., Anto Arockia Rosaline R., Devipriya A., Nancy P., Vijaya K.. © 2024. 17 pages.
Due to the heightened expenses associated with maintaining extensive data storage infrastructure on-premises, many organizations face challenges in accommodating large volumes of...
An Empirical Study and Analysis of Artificial Intelligence, Machine Learning, and Big Data for Crypto Healthcare Industries
An Empirical Study and Analysis of Artificial Intelligence, Machine Learning, and Big Data for Crypto Healthcare Industries
Devipriya Ananthavadivel, R. Anto Arockia Rosaline, D. Vinod, K. Anitha, P. Nancy. © 2024. 19 pages.
In the contemporary era, cryptocurrencies have emerged as a vital digital asset class. This abstract provides a succinct overview of a chapter dedicated to the empirical...