| 2020-07 | A novel water quality module of the SWMM model for assessing Low Impact Development (LID) in Urban watersheds | Baek, Sang-Soo; Ligaray, Mayzonee; Pyo, Jongcheol; Park, Jong-Pyo; Kang, Joo-Hyon; Pachepsky, Yakov; Chun, Jong Ahn; Cho, Kyung Hwa | ARTICLE | 178 |
| 2017-08 | Assessing the efficiency of aggregate low impact development (LID) at a small urbanized sub-catchment under different storm scenarios | Jeon, Dong Jin; Ki, Seo Jin; Baek, Sang-Soo; Cha, Yoonkyung; Cho, Kyung Hwa; Yoon, Kwang-Sik; Shin, Hyun Suk; Kim, Joon Ha | ARTICLE | 753 |
| 2020-11-13 | 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 | 6 |
| 2020-11-13 | 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 | 6 |
| 2019-10 | Deep neural networks for modeling fouling growth and flux decline during NF/RO membrane filtration | Park, Sanghun; Baek, Sang-Soo; Pyo, JongCheol; Pachepsky, Yakov; Park, Jongkwan; Cho, Kyung Hwa | ARTICLE | 395 |
| 2019-12 | Developing a hydrological simulation tool to design bioretention in a watershed | Baek, Sang-Soo; Ligaray, Mayzonee; Park, Jong-Pyo; Shin, Hyun-Suk; Kwon, Yongsung; Brascher, Joseph T.; Cho, Kyung Hwa | ARTICLE | 427 |
| 2015-07 | Evaluation of a hydrology and run-off BMP model in SUSTAIN on a commercial area and a public park in South Korea | Baek, Sang-Soo; Choi, Dong-Ho; Jung, Jae-Woon; Yoon, Kwang-Sik; Cho, Kyung Hwa | ARTICLE | 1029 |
| 2020-11-12 | Harmful algae prediction using deep neural network | Pyo, JongCheol; Park, Lan Joo; Yakov, Pachepsky; Baek, Sang-Soo; Kim, Kyunghyun; Cho, Kyung Hwa | CONFERENCE | 5 |
| 2020-08 | Identification and enumeration of cyanobacteria species using a deep neural network | Baek, Sang-Soo; Pyo, JongCheol; Pachepsky, Yakov; Park, Yongeun; Ligaray, Mayzonee; Ahn, Chi-Yong; Kim, Young-Hyo; Chun, Jong Ahn; Cho, Kyung Hwa | ARTICLE | 129 |
| 2017-12 | Optimizing Agricultural Best Management Practices in a Lake Erie Watershed | Pho, Jongcheol; Baek, Sang-Soo; Kim, Minjeong; Park, Sanghun; Lee, Hyuk; Ra, Jin-Sung; Cho, Kyung Hwa | ARTICLE | 539 |
| 2015-12 | Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approach | Baek, Sang-Soo; Choi, Dong-Ho; Jung, Jae-Woon; Lee, Hyung-Jin; Lee, Hyuk; Yoon, Kwang-Sik; Cho, Kyung Hwa | ARTICLE | 594 |
| 2017-06 | Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea | Pyo, JongCheol; Pachepsky, Yakov; Baek, Sang-Soo; Kwon, YongSeong; Kim, MinJeong; Lee, Hyuk; Park, Sanghyun; Cha, YoonKyung; Park, Yongeun; Cho, Kyung Hwa | ARTICLE | 441 |
| 2019-12 | Simulating seasonal variability of phytoplankton in stream water using the modified SWAT model | Pyo, JongCheol; Pachepsky, Yakov A.; Kim, Minjeong; Baek, Sang-Soo; Lee, Hyuk; Cha, YoonKyung; Park, Yongeun; Cho, Kyung Hwa | ARTICLE | 460 |
| 2020-06 | Unique microbial module regulates the harmful algal bloom (Cochlodinium polykrikoides) and shifts the microbial community along the Southern Coast of Korea | 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 | 106 |
| 2020-11 | Using convolutional neural network for predicting cyanobacteria concentrations in river water | Pyo, JongCheol; Park, Lan Joo; Pachepsky, Yakov; Baek, Sang-Soo; Kim, Kyunghyun; Cho, Kyung Hwa | ARTICLE | 18 |
| 2015-05-18 | 도시지역의 초기세척효과 저감을 위한 LID 최적화 | Baek, Sang-Soo; Choi, Dong-Ho; Yoon, Kwang-Sik; Cho, Kyung Hwa | CONFERENCE | 35 |
| 2020-11-13 | 딥러닝 기반 수계 내 미량오염물질 예측 모델 개발 | Yun,Daeun; Ather Abbas; Jeon,Junho; Mayzonee Ligaray; Baek, Sang-Soo; Cho, Kyung Hwa | CONFERENCE | 8 |
