C. Manjula Devi

C. Manjula Devi received B.E. (CSE) and M.TECH.(IT) from Anna University, Chennai in 2006 and 2013 respectively and received her M.B.A (HRM) from Anna University. Since 2009, she is in teaching profession and her main research interest is in Data mining, IoT and Deep Learning. Currently, she is working as Assistant Professor in Velammal College of Engineering and Technology, Madurai. She has published 7 research papers in International Journals 8 research papers in International and National Conferences. She also published online Chapter on Evolution of Deep Learning for Biometric Identification and Recognition in IGI Global Publications.

Publications

IoT Devices for Natural Disasters: IoT Technologies for Natural Disaster Management
A. Gobinath, Manjula Devi, P. Rajeswari, A. Srinivasan. © 2024. 19 pages.
In recent years, the convergence of internet of things (IoT) technologies has emerged as a pivotal force in revolutionizing the landscape of natural disaster management. This...
AI-Enabled Robotics
A. Gobinath, Manjula Devi, P. Rajeswari, A. Srinivasan, Pavithra Devi. © 2024. 19 pages.
The merger of artificial intelligence (AI) and robotics constitutes a paradigm shift in the field of automation, resulting in AI-enabled robotics. This abstract provides a...
Predicting Natural Disasters With AI and Machine Learning
Manjula Devi C., Gobinath A., Padma Priya S., Reshmika K. S., Sivakarthi G.. © 2024. 20 pages.
Amidst the continually changing climate and the rise in natural disasters, it is crucial to strengthen resilience against these calamities. This chapter explores the dynamic...
Evolution of Deep Learning for Biometric Identification and Recognition
S. Miruna Joe Amali, Manjula Devi C., Rajeswari G.. © 2023. 14 pages.
Biometrics is a method based on the recognition of the biological characteristics of an individual like fingerprint, vocal, and facial features. Biometric features hold a unique...
Machine Learning and Healthcare
C. Manjula Devi, I. Dharani, A. Srinivasan. © 2023. 20 pages.
The healthcare sector is one that is continuously changing. It can be challenging for healthcare workers to keep up with the constant development of new tools and treatments. One...
Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning: IoT Devices for Healthcare
G. Sivakarthi, A. Vinora, M. Soundarya, R. Nancy Deborah, C. Manjula Devi. © 2023. 19 pages.
The Internet of Things is a term that enables all objects in the world to be connected to the world wide web and each other to transmit and receive data and execute all tasks via...