Rajalaxmi Hegde

Rajalaxmi Hegde obtained his B.E and MTech degree in Computer Science and Engg from VTU University, India. Completed her PhD from VTU University. she has published research papers in various international journals and conferences. Presently she is working as associate professor in the Department of Computer Science and Engg at NMAMIT, Nitte. Her area of interest includes big data analytics, machine learning and computational intelligence. she is a life member of ISTE.

Publications

Cloud Robotics and Automation: A Comprehensive Study on Techniques, Taxonomy, Applications, and Research Issues
SandeepKumar Hegde, Rajalaxmi Hegde, Thangavel Murugan. © 2024. 13 pages.
Cloud robotics is currently regarded as one of the cutting-edge research areas within the mainstream automation and artificial intelligence fields. The new machine-to-cloud...
Smart Traffic Monitoring and Control Using Drone Swarms Technology in Urban Areas
Sandeep Kumar Hegde, Rajalaxmi Hegde. © 2024. 14 pages.
In transportation engineering, drone swarms are becoming increasingly popular as a way to track and analyse traffic. The number of driving cars has increased significantly due to...
A Novel Ensembled Deep Machine Learning Framework for the Prediction of Chronic Disease
. © 2024. 16 pages.
The state of the environment and human behaviour today contribute to a wide range of diseases that affect people. To avoid such diseases reaching their worst, it is crucial to...
An Energy-Efficient Keyless Approach to Home Security Using Internet of Things
Sandeep Kumar Hegde, Rajalaxmi Hegde. © 2023. 22 pages.
The primary goal of the chapter is to modernize the security requirements for smart homes while building a complete home security system based on the internet of things. This...
An Automated Text Summarization and Machine Learning-Based Framework for Heart Disease Prediction
Sandeep Kumar Hegde, Rajalaxmi Hegde. © 2023. 12 pages.
Heart disease is the primary cause of death of humankind nowadays. Text summarization is currently a major research topic in natural language processing, and it is an important...
Deep Learning Approaches for Sentiment Analysis Challenges and Future Issues
Rajalaxmi Prabhu B., Seema S.. © 2022. 24 pages.
A lot of user-generated data is available these days from huge platforms, blogs, websites, and other review sites. These data are usually unstructured. Analyzing sentiments from...