S. Prince Sahaya Brighty

S. Prince Sahaya Brighty|Prince Sahaya Brighty S. - Contributing Author|Mrs. S. Prince Sahaya Brighty has over 17 years of teaching experience and currently working as an Assistant Professor (Selection Grade) in the Department of Computer Science and Engineering. She completed her B.E(with Distinction) in Computer Science and Engineering from Noorul Islam College of Engineering, Nagercoil (Anna University,Chennai) in 2005. She completed her Masters’ (with Distinction) in Computer Science and Engineering from Kumaraguru College of Technology,Coimbatore(Anna University,Chennai) in the year 2013. Her research area includes AI & Machine Learning, Data Science and Wireless sensor networks,. . She has published 18 papers in reputed International Journals such as Springer, IEEE etc. She has also published papers in 16 International and National conferences. She has received the Best paper award in a Springer and IEEE International Conferences. She has guided around 30 UG projects . She is a lifetime member of CSI, IRACST and IAENG.

Publications

Enhanced YOLO Algorithm for Robust Object Detection in Challenging Nighttime and Blurry, Low Vision
Enhanced YOLO Algorithm for Robust Object Detection in Challenging Nighttime and Blurry, Low Vision
S. Prince Sahaya Brighty, R. Anuradha, M. Brindha. © 2024. 16 pages.
In today's computer vision systems, the spread of object detection has been booming. Object detection in challenging conditions such as low-illumination or misty nights...
Mitigating Disasters Below the Surface: A Comprehensive Study on Recent Advantages and Ongoing Challenges in Underwater Sensor Networks
Mitigating Disasters Below the Surface: A Comprehensive Study on Recent Advantages and Ongoing Challenges in Underwater Sensor Networks
S. Prince Sahaya Brighty, P. Sebastian Vindro Jude. © 2024. 7 pages.
In underwater sensor networks (UWSNs), it is important to determine the location of all the sensors. Localization is the process of estimating the location of each node in a...
Nutrients Detection and Adulteration Analysis of Vegetables and Fruits for Pregnant Women Using Machine Learning
Nutrients Detection and Adulteration Analysis of Vegetables and Fruits for Pregnant Women Using Machine Learning
S. Prince Sahaya Brighty. © 2023. 9 pages.
The accurate detection and analysis of NPK values in fruits and vegetables play a significant role in ensuring their optimal growth and health. The authors propose a system for...