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유니스트 공과대학 도시환경공학과

논문[201]

#201. Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay

2022.12 · Journal of Hydrology 617(3):128916

(DOI) https://doi.org/10.1016/j.jhydrol.2022.128916

#200. Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery

2022.12 · GISCIENCE & REMOTE SENSING

(DOI) https://doi.org/10.1080/15481603.2022.2037887

발표[82]

#82. Estimation of soil heavy metals using deep neural network

2020 한국지하수토양환경학회 추계학술대회

2020.11

#81. Estimation of Fecal contamination in surface water using deep learning

2020 대한환경공학회 학술대회

2020.11

특허[14]

#14. SWMM LID 수질 모의 모델

[등록] C-2018-013861

대한민국

#13. 매트랩을 활용한 모델링 자동화 장치 및 방법

[출원] 10-2021-0027661

대한민국