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JunGi Moon

Showing results (1-10 of 4) with videos related to

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The Science of the Total Environment|November 13, 2024
Improving fecal bacteria estimation using machine learning and explainable AI in four major rivers, South KoreaSungMin Suh, JunGi Moon, Sangjin Jung, et al.
Water Research|May 14, 2025
Development of deep learning quantization framework for remote sensing edge device to estimate inland water quality in South KoreaJunGi Moon, SangJin Jung, SungMin Suh, et al.
Environmental Monitoring and Assessment|February 22, 2024
Evaluation of Korean methane emission sources with satellite retrievals by spatial correlation analysisJunGi Moon, Changsub Shim, Jeongbyn Seo, et al.
The Science of the Total Environment|October 1, 2024
Classifying eutrophication spatio-temporal dynamics in river systems using deep learning techniqueDukyeong Lee, JunGi Moon, SangJin Jung, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
The Science of the Total Environment|November 13, 2024
Improving fecal bacteria estimation using machine learning and explainable AI in four major rivers, South KoreaSungMin Suh, JunGi Moon, Sangjin Jung, et al.
Water Research|May 14, 2025
Development of deep learning quantization framework for remote sensing edge device to estimate inland water quality in South KoreaJunGi Moon, SangJin Jung, SungMin Suh, et al.
Environmental Monitoring and Assessment|February 22, 2024
Evaluation of Korean methane emission sources with satellite retrievals by spatial correlation analysisJunGi Moon, Changsub Shim, Jeongbyn Seo, et al.
The Science of the Total Environment|October 1, 2024
Classifying eutrophication spatio-temporal dynamics in river systems using deep learning techniqueDukyeong Lee, JunGi Moon, SangJin Jung, et al.
Pageof 1