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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 View196

A novel method for micropollutant quantification using deep learning and multi-objective optimization File

Yun, Daeun , Kang, Daeho , Jang, Jiyi , Angeles, Anne Therese , Pyo, JongCheol , Jeon, Junho , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2022-04 View174

A novel water quality module of the SWMM model for assessing Low Impact Development (LID) in Urban watersheds File

Baek, Sang-Soo , Ligaray, Mayzonee , Pyo, Jongcheol , Park, Jong-Pyo , Kang, Joo-Hyon , Pachepsky, Yakov , Chun, Jong Ahn , Cho, Kyung Hwa

Article Issue Date2020-07 View111

Analysis of micropollutants in a marine outfall using network analysis and decision tree File

Baek, Sang-Soo , Yun, Daeun , Pyo, JongCheol , Kang, Daeho , Cho, Kyung Hwa , Jeon, Junho

Article Issue Date2022-02 View104

Assessing the efficiency of aggregate low impact development (LID) at a small urbanized sub-catchment under different storm scenarios File

Jeon, Dong Jin , Ki, Seo Jin , Baek, Sang-Soo , Cha, Yoonkyung , Cho, Kyung Hwa , Yoon, Kwang-Sik , Shin, Hyun Suk , Kim, Joon Ha

Article Issue Date2017-08 View104

Chemical accidents in freshwater: Development of forecasting system for drinking water resources File

Kim, Soobin , Kim, Minjeong , Kim, Hyein , Baek, Sang-Soo , Kim, Woojung , Kim, Sang Don , Cho, Kyung Hwa

Article Issue Date2022-06 View86

Convolutional neural network for estimating vertical profiles of harmful cyanobacteria using drone-borne hyperspectral image in lake water

Hong, Seok Min , Baek, Sang-Soo , Yun, Daeun , Kwon, Yong-Hwan , Pyo, JongCheol , Cho, Kyung Hwa

Conference Paper Issue Date2020-11-13 View80

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 View93

Deep learning for simulating Alexandrium with ocean numerical model

Baek, Sang-Soo , Kim, Young Ok , Baek, Seung Ho , Ahn, Chi-Young , Oh, Hee-Mock , Cho, Kyung Hwa

Conference Paper Issue Date2020-11-13 View85

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 View129

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 View175

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 View97

Developing a data-driven modeling framework for simulating a chemical accident in freshwater File

Kim, Soobin , Abbas, Ather , Pyo, Jongchoel , Kim, Hyein , Hong, Seok Min , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2023-11 View141

Developing a deep learning model for the simulation of micro-pollutants in a watershed File

Yun, Daeun , Abbas, Ather , Jeon, Junho , Ligaray, Mayzonee , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2021-06 View141

Developing a hydrological simulation tool to design bioretention in a watershed File

Baek, Sang-Soo , Ligaray, Mayzonee , Park, Jong-Pyo , Shin, Hyun-Suk , Kwon, Yongsung , Brascher, Joseph T. , Cho, Kyung Hwa

Article Issue Date2019-12 View103

Effect of marine heatwaves on bloom formation of the harmful dinoflagellate Cochlodinium polykrikoides: Two sides of the same coin? File

Lim, Young Kyun , Park, Bum Soo , Kim, Jin Ho , Baek, Sang-Soo , Baek, Seung Ho

Article Issue Date2021-04 View81

Evaluation of a hydrology and run-off BMP model in SUSTAIN on a commercial area and a public park in South Korea File

Baek, Sang-Soo , Choi, Dong-Ho , Jung, Jae-Woon , Yoon, Kwang-Sik , Cho, Kyung Hwa

Article Issue Date2015-07 View114

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 View81

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 View125

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 View118

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 View139

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 View109

Inland harmful algal blooms (HABs) modeling using internet of things (IoT) system and deep learning File File

Kwon, Do Hyuck , Hong, Seok Min , Abbas, Ather , Pyo, JongCheol , Lee, Hyung-Kun , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2023-02 View257

Insights and machine learning predictions of harmful algal bloom in the East China Sea and Yellow Sea File

Jang, Jiyi , Baek, Sang-Soo , Kang, Daehyun , Park, Yongeun , Ligaray, Mayzonee , Baek, Seung Ho , Choi, Jin Yong , Park, Bum Soo , Lee, Myong-In , Cho, Kyung Hwa

Article Issue Date2024-06 View139

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 View99

Optimizing Agricultural Best Management Practices in a Lake Erie Watershed File

Pho, Jongcheol , Baek, Sang-Soo , Kim, Minjeong , Park, Sanghun , Lee, Hyuk , Ra, Jin-Sung , Cho, Kyung Hwa

Article Issue Date2017-12 View98

Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approach File

Baek, Sang-Soo , Choi, Dong-Ho , Jung, Jae-Woon , Lee, Hyung-Jin , Lee, Hyuk , Yoon, Kwang-Sik , Cho, Kyung Hwa

Article Issue Date2015-12 View136

Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea File File

Pyo, JongCheol , Pachepsky, Yakov , Baek, Sang-Soo , Kwon, YongSeong , Kim, MinJeong , Lee, Hyuk , Park, Sanghyun , Cha, YoonKyung , Park, Yongeun , Cho, Kyung Hwa

Article Issue Date2017-06 View177

Physics-guided deep learning surrogate model with graph attention for long-term radionuclide transport prediction in deep geological repositories File

Jeong, Dae Seong , Lee, Jinuk , Pyo, JongCheol , Baek, Sang-Soo , Kim, Jin Hwi , Jeong, Mi-Seon , Yun, Hyungju , Cho, Kyung Hwa

Article Issue Date2026-01 View13

Predicting radionuclide behavior in deep geological repositories using graph convolutional long short-term memory File

Jeong, Dae Seong , Lee, Jinuk , Pyo, JongCheol , Baek, Sang-Soo , Jeong, Heewon , Jeong, Mi-Seon , Yun, Hyungju , Cho, Kyung Hwa

Article Issue Date2025-09 View147

Prediction of Water Level and Water Quality Using a CNN-LSTM Combined Deep Learning Approach File File

Baek, Sang-Soo , Pyo, Jongcheol , Chun, Jong Ahn

Article Issue Date2020-12 View110

Replacing the internal standard to estimate micropollutants using deep and machine learning File

Baek, Sang-Soo , Choi, Younghun , Jeon, Junho , Pyo, JongCheol , Park, Jongkwan , Cho, Kyung Hwa

Article Issue Date2021-01 View122

Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water File File

Pyo, JongCheol , Kwon, Yong Sung , Ahn, Jae-Hyun , Baek, Sang-Soo , Kwon, Yong-Hwan , Cho, Kyung Hwa

Article Issue Date2021-02 View73

Simulating seasonal variability of phytoplankton in stream water using the modified SWAT model File

Pyo, JongCheol , Pachepsky, Yakov A. , Kim, Minjeong , Baek, Sang-Soo , Lee, Hyuk , Cha, YoonKyung , Park, Yongeun , Cho, Kyung Hwa

Article Issue Date2019-12 View94

Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models File File

Kim, Soobin , Lee, Eunhee , Hwang, Hyoun-Tae , Pyo, Jongcheol , Yun, Daeun , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2024-05 View134

Unique microbial module regulates the harmful algal bloom (Cochlodinium polykrikoides) and shifts the microbial community along the Southern Coast of Korea File

Cui, Yingshun , Chun, Seong-Jun , Baek, Sang-Soo , Baek, Seung Ho , Kim, Pyoung-Joong , Son, Moonho , Cho, Kyung Hwa , Ahn, Chi-Yong , Oh, Hee-Mock

Article Issue Date2020-06 View86

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 View115

도시지역의 초기세척효과 저감을 위한 LID 최적화

Baek, Sang-Soo , Choi, Dong-Ho , Yoon, Kwang-Sik , Cho, Kyung Hwa

Conference Paper Issue Date2015-05-18 View84

딥러닝 기반 수계 내 미량오염물질 예측 모델 개발

Yun,Daeun , Ather Abbas , Jeon,Junho , Mayzonee Ligaray , Baek, Sang-Soo , Cho, Kyung Hwa

Conference Paper Issue Date2020-11-13 View76

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