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pro vyhledávání: '"Seohyun Byeon"'
Enhancing Machine Learning Performance in Estimating CDOM Absorption Coefficient via Data Resampling
Autor:
Jinuk Kim, Jin Hwi Kim, Wonjin Jang, JongCheol Pyo, Hyuk Lee, Seohyun Byeon, Hankyu Lee, Yongeun Park, Seongjoon Kim
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2313 (2024)
Chromophoric dissolved organic matter (CDOM) is a mixture of various types of organic matter and a useful parameter for monitoring complex inland surface waters. Remote sensing has been widely utilized to detect CDOM in various studies; however, in m
Externí odkaz:
https://doaj.org/article/572f9897fbdc462e810530e806b41091
Autor:
Jin Hwi Kim, Hankyu Lee, Seohyun Byeon, Jae-Ki Shin, Dong Hoon Lee, Jiyi Jang, Kangmin Chon, Yongeun Park
Publikováno v:
Toxics, Vol 11, Iss 12, p 955 (2023)
Many countries have attempted to mitigate and manage issues related to harmful algal blooms (HABs) by monitoring and predicting their occurrence. The infrequency and duration of HABs occurrence pose the challenge of data imbalance when constructing m
Externí odkaz:
https://doaj.org/article/fbc656ed4d884a43bba39ca44b62b4f7