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pro vyhledávání: '"Makam AN"'
Underwater environments pose significant challenges due to the selective absorption and scattering of light by water, which affects image clarity, contrast, and color fidelity. To overcome these, we introduce OceanLens, a method that models underwate
Externí odkaz:
http://arxiv.org/abs/2411.13230
Advances in Autonomous Underwater Vehicles (AUVs) have evolved vastly in short period of time. While advancements in sonar and camera technology with deep learning aid the obstacle detection and path planning to a great extent, achieving the right ba
Externí odkaz:
http://arxiv.org/abs/2411.05516
Autor:
Agrawal, Aayush, Sikdar, Aniruddh, Makam, Rajini, Sundaram, Suresh, Besai, Suresh Kumar, Gopi, Mahesh
Underwater mine detection with deep learning suffers from limitations due to the scarcity of real-world data. This scarcity leads to overfitting, where models perform well on training data but poorly on unseen data. This paper proposes a Syn2Real (Sy
Externí odkaz:
http://arxiv.org/abs/2410.12953
Star formation rates (SFRs) are a crucial observational tracer of galaxy formation and evolution. Spectroscopy, which is expensive, is traditionally used to estimate SFRs. This study tests the possibility of inferring SFRs of large samples of galaxie
Externí odkaz:
http://arxiv.org/abs/2410.06736
The research focuses on determining the metallicity ([Fe/H]) predicted in the solar twin stars by using various regression modeling techniques which are, Random Forest, Linear Regression, Decision Tree, Support Vector, and Gradient Boosting. The data
Externí odkaz:
http://arxiv.org/abs/2410.06709
When a group acts on a set, it naturally partitions it into orbits, giving rise to orbit problems. These are natural algorithmic problems, as symmetries are central in numerous questions and structures in physics, mathematics, computer science, optim
Externí odkaz:
http://arxiv.org/abs/2405.15368
Autonomous underwater vehicles (AUV) have become the de facto vehicle for remote operations involving oceanography, inspection, and monitoring tasks. These vehicles operate in different and often challenging environments; hence, the design and develo
Externí odkaz:
http://arxiv.org/abs/2312.02690
Autor:
Youwai, Sompote, Makam, Parchya
Particle size analysis (PSA) is a fundamental technique for evaluating the physical characteristics of soils. However, traditional methods like sieving can be time-consuming and labor-intensive. In this study, we present a novel approach that utilize
Externí odkaz:
http://arxiv.org/abs/2311.06613
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-28 (2024)
Abstract In India, there is an urgent need to meet the food production due to the country’s rapidly expanding population. There is a downturn in the farming sector and the farmers are shifting to other firms due to insufficient output in the sector
Externí odkaz:
https://doaj.org/article/ffe001d381ca4348861569c89e87aa03
Publikováno v:
Discover Internet of Things, Vol 4, Iss 1, Pp 1-30 (2024)
Abstract The global population is rapidly increasing, so there is a critical requirement to satisfy the food production demand. Conventional methods of agriculture are inadequate to meet building demand which leads to declining farming sector and ada
Externí odkaz:
https://doaj.org/article/ccebcbede8704797832c41854b5aa32a