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An integrated watershed modeling approach using soil and water assessment tool and graph convolutional long short-term memory File

Jeong, Dae Seong , Kwon, Do Hyuck , Kim, Jin Hwi , Cho, Kyung Hwa , Ki, Seo Jin , Shin, Jae-Ki , Park, Yongeun

Article Issue Date2026-02 View22
Assessing the applicability of the soil and water assessment tool-deep learning hybrid model for predicting total nitrogen loads in a mixed agricultural watershed File

Jeong, Dae Seong , Jeong, Heewon , Kim, Joon Ha , Kwon, Do Hyuk , Kim, Jin Hwi , Park, Yongeun

Article Issue Date2026-01 View31
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
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