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A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery File

Pyo, JongCheol , Duan, Hongtao , Baek, Sangsoo , Kim, Moon Sung , Jeon, Taegyun , Kwon, Yong Sung , Lee, Hyuk , Cho, Kyung Hwa

Article Issue Date2019-11 View186
Deep learning-based super-resolution for harmful algal bloom monitoring of inland water File File

Kwon, Do Hyuck , Hong, Seok Min , Abbas, Ather , Park, Sanghyun , Nam, Gibeom , Yoo, Jae-Hyun , Kim, Kyunghyun , Kim, Hong Tae , Pyo, Jongcheol , Cho, Kyung Hwa

Article Issue Date2023-09 View90
Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea File

Park, Yongeun , Cho, Kyung Hwa , Park, Jihwan , Cha, Sung Min , Kim, Joon Ha

Article Issue Date2015-01 View105
Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality models File

Pyo, JongCheol , Kwon, Yong Sung , Min, Joong-Hyuk , Nam, Gibeom , Song, Yong-Sik , Ahn, Jung Min , Park, Sanghyun , Lee, Jeongwon , Cho, Kyung Hwa , Park, Yongeun

Article Issue Date2021-09 View124
Stressor-response modeling using the 2D water quality model and regression trees to predict chlorophyll-a in a reservoir system File

Park, Yongeun , Pachepsky, Yakov A. , Cho, Kyung Hwa , Jeon, Dong Jin , Kim, Joon Ha

Article Issue Date2015-10 View94
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