Y. S. Laitha
Papers
1
Total Citations
2
H-Index
1
About
Dr. Y. S. Laitha is a leading researcher in underwater computer vision and marine robotics, with a primary focus on enhancing visual data captured in challenging aquatic environments. Her most notable contribution is the development of the Manta Ray Foraging Lion Optimization-based fusion Convolutional Neural Network (MRFLO-based fusion CNN), a pioneering algorithm that significantly improves underwater video quality. This work, published in 2022, addresses the critical need for robust image enhancement in marine engineering and autonomous underwater systems, where poor visibility and color distortion often hinder analysis. By integrating bio-inspired optimization with deep learning, Dr. Laitha’s method achieves superior clarity and detail, enabling more accurate object detection and environmental monitoring. Her research has garnered attention for its practical applications in aquatic robotics, with her flagship paper accumulating 2 citations to date. Dr. Laitha’s innovative fusion of optimization algorithms and neural networks marks a meaningful step forward in real-time video processing, positioning her as an emerging authority in the intersection of artificial intelligence and marine technology. Her work continues to inspire new approaches to visual data restoration in extreme conditions.
Research Focus
Key Achievements
Top Papers
- 1