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AI4Water v1.0: an open-source python package for modeling hydrological time series using data-driven methods File

Abbas, Ather , Boithias, Laurie , Pachepsky, Yakov , Kim, Kyunghyun , Chun, Jong Ahn , Cho, Kyung Hwa

Article Issue Date2022-04 View11
An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery File File

Pyo, JongCheol , Duan, Hongtao , Ligaray, Mayzonee , Kim, Minjeong , Baek, Sangsoo , Kwon, Yong Sung , Lee, Hyuk , Kang, Taegu , Kim, Kyunghyun , Cha, YoonKyung , et al

Article Issue Date2020-03 View16
Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblage File

Pyo, JongCheol , Cho, Kyung Hwa , Kim, Kyunghyun , Baek, Sang-Soo , Nam, Gibeom , Park, Sanghyun

Article Issue Date2021-09 View14
Harmful algae prediction using deep neural network

Pyo, JongCheol , Park, Lan Joo , Yakov, Pachepsky , Baek, Sang-Soo , Kim, Kyunghyun , Cho, Kyung Hwa

Conference Paper Issue Date2020-11-12 View11
High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral Imagery File File

Pyo, Jong Cheol , Ligaray, Mayzonee , Kwon, Yong Sung , Ahn, Myoung-Hwan , Kim, Kyunghyun , Lee, Hyuk , Kang, Taegu , Cho, Seong Been , Park, Yongeun , Cho, Kyung Hwa

Article Issue Date2018-08 View14
Using convolutional neural network for predicting cyanobacteria concentrations in river water File

Pyo, JongCheol , Park, Lan Joo , Pachepsky, Yakov , Baek, Sang-Soo , Kim, Kyunghyun , Cho, Kyung Hwa

Article Issue Date2020-11 View9
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