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A machine learning approach for early warning of cyanobacterial bloom outbreaks in a freshwater reservoir File

Park, Yongeun , Lee, Han Kyu , Shin, Jae-Ki , Chon, Kangmin , Kim, SungHwan , Cho, Kyung Hwa , Kim, Jin Hwi , Baek, Sang-Soo

Article Issue Date2021-06 View52
Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling method File

Kim, Jin Hwi , Shin, Jae-Ki , Lee, Hankyu , Lee, Dong Hoon , Kang, Joo-Hyon , Cho, Kyung Hwa , Lee, Yong-Gu , Chon, Kangmin , Baek, Sang-Soo , Park, Yongeun

Article Issue Date2021-12 View53
Modeling the influence of future climatic variables on nutrient loading in the Yeongsan River Basin, South Korea File

Park, Yongeun , Chon, Kangmin , Shin, Jae-Ki , Lim, Yejee , Baek, Sang-Soo , Kim, Joon Ha

Article Issue Date2020-03 View57
Optimal Band Selection for Airborne Hyperspectral Imagery to Retrieve a Wide Range of Cyanobacterial Pigment Concentration Using a Data-Driven Approach File File

Jang, Wonjin , Park, Yongeun , Pyo, JongCheol , Park, Sanghyun , Kim, Jinuk , Kim, Jin Hwi , Cho, Kyung Hwa , Shin, Jae-Ki , Kim, Seongjoon

Article Issue Date2022-04 View51
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