P. Kanimozhi

P. Kanimozhi received her B.E degree from Vellore Engineering College in 2000 and M.Tech degree in the field of Computer Science and Engineering from Sri Manakula Vinayagar Engineering College in 2008, India. She is doing research in the area of Cloud Compuitng at Anna University, Chennai, India. Her area of interest includes Cloud computing, Data Mining and Internet of Things. She has also published 3 papers in International journal, 6 in International Conference. She is currently working as an Associate Professor in IFET College of Engineering for the department of Computer Science and Engineering.

Publications

Application Domains of Federated Learning in Healthcare 5.0
Application Domains of Federated Learning in Healthcare 5.0
T. Ananth Kumar, A. Gokulalakshmi, P. Kanimozhi, G. Glorindal. © 2024. 18 pages.
Federated learning has emerged as a game-changing approach in machine learning, allowing high-quality centralised models to be trained across a network of decentralised clients....
Smart Contracts for Enhanced Water Resource Management
Smart Contracts for Enhanced Water Resource Management
P. Kanimozhi, A. R. Jayasri, T. Ananth Kumar, S. Arunmozhiselvi. © 2024. 26 pages.
Water management is critical for long-term development and the preservation of essential natural resources. Traditional water management strategies are becoming increasingly...
A Functional Gradient Boost Approach for Identifying Parkinson's Disease
A Functional Gradient Boost Approach for Identifying Parkinson's Disease
T. Ananth Kumar, M. Nidya Thirshala, P. Kanimozhi, Christo Ananth. © 2024. 21 pages.
Parkinson's disease is a neurodegenerative disorder characterised by the manifestation of involuntary and uncontrolled motor symptoms, such as tremors, rigidity, and impaired...
Machine Learning and Sentiment Analysis: Analysing Customer Feedback
Machine Learning and Sentiment Analysis: Analysing Customer Feedback
T. Ananth kumar, Zaafira J., P. Kanimozhi, Rajmohan R., Christo Ananth, Sunday Adeola Ajagbe. © 2024. 18 pages.
Customer feedback shapes businesses and improves customer experiences in the age of advanced technology and interconnectedness. This study uses machine learning in sentiment...
Using Drones in Smart Farming
Using Drones in Smart Farming
Padmapriya N., Aswini R., Kanimozhi P.. © 2021. 18 pages.
Smart farming is the one area that has dependably been entrusted with giving nourishment to the world. With the consistently expanding populace, the horticultural segment needs...