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JongCheol Pyo

Showing results (11-20 of 23) with videos related to

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Water Research|May 6, 2022
Hierarchical deep learning model to simulate phytoplankton at phylum/class and genus levels and zooplankton at the genus levelSang-Soo Baek, Eun-Young Jung, JongCheol Pyo, et al.
Harmful Algae|May 13, 2021
Identification of influencing factors of A. catenella bloom using machine learning and numerical simulationSang-Soo Baek, Yong Sung Kwon, JongCheol Pyo, et al.
Water Research|October 2, 2017
Evaluating physico-chemical influences on cyanobacterial blooms using hyperspectral images in inland water, KoreaYongeun Park, JongCheol Pyo, Yong Sung Kwon, et al.
Water Research X|June 14, 2024
Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed modelsSoobin Kim, Eunhee Lee, Hyoun-Tae Hwang, et al.
The Science of the Total Environment|July 3, 2021
Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning modelsSeok Min Hong, Sang-Soo Baek, Daeun Yun, et al.
Water Research X|December 15, 2023
Long short-term memory models of water quality in inland water environmentsJongCheol Pyo, Yakov Pachepsky, Soobin Kim, et al.
Water Research|February 3, 2022
A novel method for micropollutant quantification using deep learning and multi-objective optimizationDaeun Yun, Daeho Kang, Jiyi Jang, et al.
The Science of the Total Environment|December 25, 2023
Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approachJihoon Shin, Gunhyeong Lee, TaeHo Kim, et al.
Journal of Hazardous Materials|July 12, 2025
Predicting radionuclide behavior in deep geological repositories using graph convolutional long short-term memoryDae Seong Jeong, Jinuk Lee, JongCheol Pyo, et al.
Journal of Hazardous Materials|December 17, 2025
Physics-guided deep learning surrogate model with graph attention for long-term radionuclide transport prediction in deep geological repositoriesDae Seong Jeong, Jinuk Lee, JongCheol Pyo, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Water Research|May 6, 2022
Hierarchical deep learning model to simulate phytoplankton at phylum/class and genus levels and zooplankton at the genus levelSang-Soo Baek, Eun-Young Jung, JongCheol Pyo, et al.
Harmful Algae|May 13, 2021
Identification of influencing factors of A. catenella bloom using machine learning and numerical simulationSang-Soo Baek, Yong Sung Kwon, JongCheol Pyo, et al.
Water Research|October 2, 2017
Evaluating physico-chemical influences on cyanobacterial blooms using hyperspectral images in inland water, KoreaYongeun Park, JongCheol Pyo, Yong Sung Kwon, et al.
Water Research X|June 14, 2024
Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed modelsSoobin Kim, Eunhee Lee, Hyoun-Tae Hwang, et al.
The Science of the Total Environment|July 3, 2021
Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning modelsSeok Min Hong, Sang-Soo Baek, Daeun Yun, et al.
Water Research X|December 15, 2023
Long short-term memory models of water quality in inland water environmentsJongCheol Pyo, Yakov Pachepsky, Soobin Kim, et al.
Water Research|February 3, 2022
A novel method for micropollutant quantification using deep learning and multi-objective optimizationDaeun Yun, Daeho Kang, Jiyi Jang, et al.
The Science of the Total Environment|December 25, 2023
Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approachJihoon Shin, Gunhyeong Lee, TaeHo Kim, et al.
Journal of Hazardous Materials|July 12, 2025
Predicting radionuclide behavior in deep geological repositories using graph convolutional long short-term memoryDae Seong Jeong, Jinuk Lee, JongCheol Pyo, et al.
Journal of Hazardous Materials|December 17, 2025
Physics-guided deep learning surrogate model with graph attention for long-term radionuclide transport prediction in deep geological repositoriesDae Seong Jeong, Jinuk Lee, JongCheol Pyo, et al.
Pageof 3