R. Renugadevi

R. Renugadevi completed her PhD in 2022 from Anna University, Chennai. She has published many papers in International journals and Conferences. She is currently working as Associate professor in R.M.K Engineering College. She has more than 16 years of teaching experience in engineering colleges. Her interest includes Machine learning, Internet of Things, Wireless Sensor Networks and Cloud computing.

Publications

Artificial Intelligence and IoT-Based Disaster Management System
Artificial Intelligence and IoT-Based Disaster Management System
R. Renugadevi, Lakshmi Haritha Medida. © 2024. 12 pages.
Among the numerous terrible natural and artificial disasters that afflict the planet are enormous earthquakes, floods, aircraft accidents, tsunamis, and building collapses. In...
The Usage of Artificial Intelligence in Manufacturing Industries: A Real-Time Application
The Usage of Artificial Intelligence in Manufacturing Industries: A Real-Time Application
Renugadevi Ramalingam, Malathi Murugesan, S. Vaishnavi, N. Priyanka, S. Nalini, T. Chandrasekar. © 2024. 19 pages.
Artificial intelligence (AI) has the capacity to revolutionize the manufacturing sector. Positive effects include things like more output, lower costs, better quality, and less...
Real-Time Applications of Artificial Intelligence Technology in Daily Operations
Real-Time Applications of Artificial Intelligence Technology in Daily Operations
R. Renugadevi, J. Shobana, K. Arthi, Kalpana A. V., D. Satishkumar, M. Sivaraja. © 2024. 15 pages.
Artificial intelligence (AI) is a system endowed with the capability to perceive its surroundings and execute actions aimed at maximizing the probability of accomplishing its...
Disease Monitoring and Management: Healthcare Information Systems (HIS) in Smart Cities
Disease Monitoring and Management: Healthcare Information Systems (HIS) in Smart Cities
R. Renugadevi. © 2024. 15 pages.
The world's top nations are working to find solutions to the complicated, multidimensional, and large-scale challenge of building smart cities. Control over critical aspects...
An Innovative Investigation on Predicting Forest Fire Using Machine Learning Approach
An Innovative Investigation on Predicting Forest Fire Using Machine Learning Approach
Renugadevi Ramalingam. © 2024. 17 pages.
Predicting forest fire occurrences can bolster early detection capabilities and improve early warning systems and responses. Currently, forest and grassland fire prevention and...
Enhancing Healthcare Integration With IoT for Seamless and Responsive Patient Care
Enhancing Healthcare Integration With IoT for Seamless and Responsive Patient Care
A. V. Kalpana, T. Chandrasekar, Renugadevi Ramalingam, S. P. Tamizhselvi, T. Ramesh, M. Chitra. © 2024. 35 pages.
In addressing healthcare challenges, especially in nations like India, the authors propose integrating cutting-edge machine learning algorithms for multi-disease prediction. The...
An Extensive Investigation of Meta-Heuristics Algorithms for Optimization Problems
An Extensive Investigation of Meta-Heuristics Algorithms for Optimization Problems
Renugadevi Ramalingam, Shobana J., Arthi K., Elangovan G., Radha S., Priyanka N.. © 2024. 19 pages.
Metaheuristic algorithms represent a class of optimization techniques tailored to tackle intricate problems that defy resolution through conventional means. Drawing inspiration...
Machine Learning Techniques for Predicting Pregnancy Complications
Machine Learning Techniques for Predicting Pregnancy Complications
Lakshmi Haritha Medida, R. Renugadevi. © 2023. 10 pages.
Machine learning is employed extensively in healthcare, prediction, diagnosis, and as a technique of establishing priority. Artificial intelligence is widely used in the medical...