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Deep Learning for Simulating Harmful Algal Blooms Using Ocean Numerical Model File File

Baek, Sang-Soo , Pyo, JongCheol , Kwon, Yong Sung , Chun, Seong-Jun , Baek, Seung Ho , Ahn, Chi-Yong , Oh, Hee-Mock , Kim, Young Ok , Cho, Kyung Hwa

Article Issue Date2021-10 View9

Deep neural networks for modeling fouling growth and flux decline during NF/RO membrane filtration File

Park, Sanghun , Baek, Sang-Soo , Pyo, JongCheol , Pachepsky, Yakov , Park, Jongkwan , Cho, Kyung Hwa

Article Issue Date2019-10 View13

Designing a marine outfall to reduce microbial risk on a recreational beach: Field experiment and modeling File

Kim, Minjeong , Ligaray, Mayzonee , Kwon, Yong Sung , Kim, Soobin , Baek, Sangsoo , Pyo, JongCheol , Baek, Gahyun , Shin, Jingyeong , Kim, Jaai , Lee, Changsoo , et al

Article Issue Date2021-05 View6

Developing a cloud-based toolbox for sensitivity analysis of a water quality model File

Kim, Soobin , Kwon, Yong Sung , Pyo, JongCheol , Ligaray, Mayzonee , Min, Joong-Hyuk , Ahn, Jung Min , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2021-07 View6

Developing a SWAT Sub-Module for Simulating Dynamics of Cyanobacteria, Green algae, and Diatom

Pyo, JongCheol , Pachepsky, Yakov A , Lee, Hyuk , Cha, YoonKyung , Park, Yongeun , Cho, Kyung Hwa

Conference Paper Issue Date2016-10-25 View3

Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir File

Kwon, Yong Sung , Pyo, JongCheol , Kwon, Yong-Hwan , Duan, Hongtao , Cho, Kyung Hwa , Park, Yongeun

Article Issue Date2020-01 View9

Drone-borne sensing of major and accessory pigments in algae using deep learning modeling File File

Pyo, JongCheol , Hong, Seok Min , Jang, Jiyi , Park, Sanghun , Park, Jongkwan , Noh, Jae Hoon , Cho, Kyung Hwa

Article Issue Date2022-01 View5

Dynamic calibration of phytoplankton blooms using the modified SWAT model File

Lee, Jiye , Woo, So-Young , Kim, Yong-Won , Kim, Seong-Joon , Pyo, JongCheol , Cho, Kyung Hwa

Article Issue Date2022-04 View6

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 View10

Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery File File

Hong, Seok Min , Cho, Kyung Hwa , Park, Sanghyun , Kang, Taegu , Kim, Moon Sung , Nam, Gibeom , Pyo, JongCheol

Article Issue Date2022-12 View5

Estimation of harmful algae using deep learning with hyperspectral images

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

Conference Paper Issue Date2019-10-30 View8

Estimation of heavy metals using deep neural network with visible and infrared spectroscopy of soil File

Pyo, JongCheol , Hong, Seok Min , Kwon, Yong Sung , Kim, Moon Sung , Cho, Kyung Hwa

Article Issue Date2020-11 View3

Estimation of soil heavy metals using deep neural network

Pyo, JongCheol , Hong, Seok Min , Kwon, Yong Sung , Kim, Moon Sung , Cho, Kyung Hwa

Conference Paper Issue Date2020-11-27 View11

Evaluating Physico-Chemical Influences on Cyanobacterial Blooms using Hyperspectral Images in an Inland Water, Korea File

Park, Yongeun , Pyo, JongCheol , Kown, Yong Sung , Cha, YoonKyung , Lee, Hyuk , Kang, Taegu , Cho, Kyung Hwa

Article Issue Date2017-12 View5

Global Sensitivity Analysis (GSA) with Hyper-Spectral Image (HSI) in the EFDC Water Quality Modelling

Kim, Subin , Yun, Daeun , Cho, Kyung Hwa , Baek, Sangsoo , Pyo, JongCheol , Kwon, Yongsung

Conference Paper Issue Date2019-12-12 View10

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 View8

Harmful algal bloom sensing and modeling in inland water File

Pyo, JongCheol

Thesis Issue Date2020-08 View6

Hierarchical deep learning model to simulate phytoplankton at phylum/ class and genus levels and zooplankton at the genus level File

Baek, Sang-Soo , Jung, Eun-Young , Pyo, JongCheol , Pachepsky, Yakov , Son, Heejong , Cho, Kyung Hwa

Article Issue Date2022-06 View6

Identification and enumeration of cyanobacteria species using a deep neural network File

Baek, Sang-Soo , Pyo, JongCheol , Pachepsky, Yakov , Park, Yongeun , Ligaray, Mayzonee , Ahn, Chi-Yong , Kim, Young-Hyo , Chun, Jong Ahn , Cho, Kyung Hwa

Article Issue Date2020-08 View5

Identification of influencing factors of A. catenella bloom using machine learning and numerical simulation File

Baek, Sang-Soo , Kwon, Yong Sung , Pyo, JongCheol , Choi, Jungmin , Kim, Young Ok , Cho, Kyung Hwa

Article Issue Date2021-03 View5

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