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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 View14
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 View16
Characterization of micropollutants in urban stormwater using high-resolution monitoring and machine learning File

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

Article Issue Date2023-05 View14
Comparative insight of pesticide transformations between river and wetland systems File

Kang, Daeho , Lee, Hyebin , Bae, Hyokwan , Jeon, Junho

Article Issue Date2023-06 View29
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 View28
Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in Korea File

Park, Yongeun , Kim, Minjeong , Pachepsky, Yakov , Choi, Seoung-Hwa , Jeong, Goo Cho , Jeon, Junho , Cho, Kyung Hwa

Article Issue Date2018-09 View13
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 View25
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