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Dae Seong Jeong

Showing results (1-10 of 5) with videos related to

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Water Environment Research : a Research Publication of the Water Environment Federation|August 3, 2024
A hybrid approach to improvement of watershed water quality modeling by coupling process-based and deep learning modelsDae Seong Jeong, Heewon Jeong, Jin Hwi Kim, et al.
Journal of Contaminant Hydrology|October 2, 2025
Assessing the applicability of the soil and water assessment tool-deep learning hybrid model for predicting total nitrogen loads in a mixed agricultural watershedDae Seong Jeong, Heewon Jeong, Joon Ha 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.
Environmental Research|October 11, 2024
Deep-learning and data-resampling: A novel approach to predict cyanobacterial alert levels in a reservoirJin Hwi Kim, Seohyun Byeon, Hankyu Lee, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Water Environment Research : a Research Publication of the Water Environment Federation|August 3, 2024
A hybrid approach to improvement of watershed water quality modeling by coupling process-based and deep learning modelsDae Seong Jeong, Heewon Jeong, Jin Hwi Kim, et al.
Journal of Contaminant Hydrology|October 2, 2025
Assessing the applicability of the soil and water assessment tool-deep learning hybrid model for predicting total nitrogen loads in a mixed agricultural watershedDae Seong Jeong, Heewon Jeong, Joon Ha 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.
Environmental Research|October 11, 2024
Deep-learning and data-resampling: A novel approach to predict cyanobacterial alert levels in a reservoirJin Hwi Kim, Seohyun Byeon, Hankyu Lee, et al.
Pageof 1