Sivasankari Jothiraj

Sivasankari Jothiraj received the B.E. degree in Electronics and Communication Engineering from Annamalai University, Tamilnadu, India, in 2008, the M.E. degree in Communication Systems from Anna University, Tamilnadu, India, in 2011, and obtained Ph.D Degree under the faculty of Information and Communication Engineering from Anna University Chennai. She has been working as an Assistant Professor in the Department of Electronics and Communication Engineering at Velammal College of Engineering and Technology, Madurai, Tamilnadu, India. Her research interests span the areas of cognitive radio networks, energy efficiency, Compressive sensing and network security and underwater image processing.

Publications

Analysis of Real-Time Data Using AI: Future Sales Prediction
Analysis of Real-Time Data Using AI: Future Sales Prediction
Sivasankari Jothiraj, P. Divya Bharathi, B. R. D. Rigveda, K. Aksharaa, S. Sabreen Safira. © 2024. 29 pages.
In the realm of advertising, predicting future sales is a paramount concern for businesses seeking to optimize their marketing budgets. This chapter outlines a research study...
A Comprehensive Analysis of Predicting Future Sale and Forecasting Using Random Forest Regression
A Comprehensive Analysis of Predicting Future Sale and Forecasting Using Random Forest Regression
Sivasankari Jothiraj, S. Ishana Chellam, V. Rajeshwari, C. K. Yukta Sri. © 2024. 20 pages.
In the realm of sales prediction, accurately forecasting future sales is a critical challenge for businesses seeking to optimize marketing strategies and resource allocation. The...
A Comprehensive Investigation of Underwater Disaster Prediction Using Machine Learning Algorithms
A Comprehensive Investigation of Underwater Disaster Prediction Using Machine Learning Algorithms
Nivethitha R., Sivasankari Jothiraj, Divya Bharathi P., Sathish Kumar D.. © 2024. 15 pages.
Underwater disasters cause severe consequences to marine ecology and lead to significant loss to the environment. Since the sea water temperature reaches 700° Fahrenheit...
An Emergent Self-Attention LSTM Module-Based Malicious User Detection in Cognitive Radio Networks
An Emergent Self-Attention LSTM Module-Based Malicious User Detection in Cognitive Radio Networks
Sivasankari Jothiraj, M. Brindha, V Persis Jeffrey. © 2024. 14 pages.
Cognitive radio networks (CRNs) represent a dynamic and intelligent paradigm for efficient spectrum utilization by allowing unlicensed users, known as secondary users, to...
Prediction of Pregnancy Complications in Fetal Heart Rate Using Hybrid Supervised Learning Model Enhanced With Compressive Sensing
Prediction of Pregnancy Complications in Fetal Heart Rate Using Hybrid Supervised Learning Model Enhanced With Compressive Sensing
Sivasankari Jothiraj, Sridevi Balu, S. Premalatha, Nagarani Nagarajan. © 2023. 28 pages.
Complications during pregnancy are now common for most of the maternal. Those complications will affect both the maternal's and fetal's health. Women might have...