D. Rajeswari

D. Rajeswari , currently working as an associate professor in the department of Data Science and Business Systems, School of computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, India. Received Ph.D. degree in 2017 from College of Engineering, Guindy, Anna University under the guidance of Dr.V. Jawahar Senthilkumar, Professor, College of Engineering, Guindy, Anna University. Completed M.Tech., Information Technology in 2010 from PSG College of Technology, Coimbatore, Anna University. Received GATE stipend from 2008 to 2010 for completing M.Tech. Completed B.Tech., Information Technology in 2008 from Annai Mathammal sheela Engineering College, Anna University. Received International Travel Support (ITS) from SERB to attend 2023 POMS Annual Conference from 21 May to 25 May in USA.

Publications

A Web-Based Platform to Reduce Food Wastage Through Women Organisation
A Web-Based Platform to Reduce Food Wastage Through Women Organisation
Srinivasan Rajendran, D. Rajeswari. © 2024. 13 pages.
Food waste can be reduced and people in need can be helped by giving extra food to orphanage kids, elderly people, etc. Around the world, a lot of women's NGOs and groups...
Ideation Platform With Security Policies and Facial Mapping Feature
Ideation Platform With Security Policies and Facial Mapping Feature
Athish Venkatachalam Parthiban, D. Rajeswari, Priyanka Ravichandran. © 2024. 9 pages.
The emerging social media with inherent capabilities is gaining an edge over comprehensiveness, diversity, and wisdom. Nevertheless, its security and trustworthiness issues have...
Digital Twin-Based Crop Yield Prediction in Agriculture
Digital Twin-Based Crop Yield Prediction in Agriculture
D. Rajeswari, Athish Venkatachalam Parthiban, Sivaram Ponnusamy. © 2024. 12 pages.
This chapter explores the transformative integration of digital twin technology and drone-based solutions in agriculture, focusing on the innovative Digital Twin Empowered Drones...
A Framework for Classifying Imbalanced Tweets Using Machine Learning Techniques
A Framework for Classifying Imbalanced Tweets Using Machine Learning Techniques
R. Srinivasan, Rajeswari D.. © 2023. 17 pages.
The research work presented focuses on utilizing social media platforms as a source of data to diagnose depression-related issues. The popularity of social platforms such as...
Disease Diagnosis Interface Using Machine Learning Technique
Disease Diagnosis Interface Using Machine Learning Technique
D. Rajeswari, Athish Venkatachalam Parthiban, S. S. Sree Nandha. © 2023. 10 pages.
Self-care has acquired relevance, especially in light of the COVID-19 scenario. For anyone to diagnose underlying disorders without a doctor's involvement, improved remote...