Robotics & Machine Learning Daily News2024,Issue(MAY.31) :62-62.

Reports Outline Machine Learning Study Findings from Seoul National University o f Science and Technology (Application of Oversampling Techniques for Enhanced Tr ansverse Dispersion Coefficient Estimation Performance Using Machine Learning .. .)

Robotics & Machine Learning Daily News2024,Issue(MAY.31) :62-62.

Reports Outline Machine Learning Study Findings from Seoul National University o f Science and Technology (Application of Oversampling Techniques for Enhanced Tr ansverse Dispersion Coefficient Estimation Performance Using Machine Learning .. .)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting from Seoul, South Korea, by NewsRx journalists, research stated, “The advection-dispersion equation has been widely used to analyze the intermediate field mixing of pollutants in natur al streams.” Financial supporters for this research include Seoul National University of Scie nce And Technology. Our news reporters obtained a quote from the research from Seoul National Univer sity of Science and Technology: “The dispersion coefficient, manipulating the di spersion term of the advection-dispersion equation, is a crucial parameter in pr edicting the transport distance and contaminated area in the water body. In this study, the transverse dispersion coefficient was estimated using machine learni ng regression methods applied to oversampled datasets. Previous research dataset s used for this estimation were biased toward width-to-depth ratio (W/H) values 50, potentially leading to inaccuracies in estimating the transverse dispersion coefficient for datasets with W/H > 50. To address this issue, four oversampling techniques were employed to augment the dataset with W/ H > 50, thereby mitigating the dataset’s imbalance. The estimation results obtained from data resampling with nonlinear regression metho d demonstrated improved prediction accuracy compared to the pre-oversampling res ults.”

Key words

Seoul National University of Science and Technology/Seoul/South Korea/Asia/Cyborgs/Emerging Technologies/Machine L earning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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