V. D. Mytri
Papers
1
Total Citations
2
H-Index
1
About
V. D. Mytri is a prominent researcher in computational intelligence and image processing, with a specialized focus on underwater video enhancement and optimization-driven deep learning. Their most notable contribution is the development of the Manta Ray Foraging Lion Optimization-based fusion Convolutional Neural Network (MRFLO-based fusion CNN), a novel algorithm that significantly improves the clarity and quality of underwater footage for applications in aquatic robotics and marine engineering. This work, published in 2022, has garnered early citations, underscoring its potential impact on autonomous underwater systems and environmental monitoring. Mytri’s research bridges bio-inspired optimization techniques with advanced neural architectures, offering robust solutions to challenges like low contrast and color distortion in underwater environments. Their work is instrumental for students and researchers exploring fusion-based models and metaheuristic algorithms, demonstrating how hybrid approaches can push the boundaries of video enhancement. With a growing citation footprint, Mytri continues to contribute to the intersection of machine learning and real-world engineering problems, making their research a valuable resource for advancing aquatic vision technologies.
Research Focus
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Top Papers
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