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NTIS 바로가기Journal of Korea Water Resources Association = 한국수자원학회논문집, v.56 no.10, 2023년, pp.641 - 653
최현진 (금오공과대학교 토목공학과) , 이송희 (금오공과대학교 토목공학과) , 우현아 (금오공과대학교 토목공학과) , 김민영 (금오공과대학교 토목공학과) , 노성진 (금오공과대학교 토목공학과)
As climate change and urbanization are causing unprecedented natural disasters in urban areas, it is crucial to have urban flood predictions with high fidelity and accuracy. However, conventional physically- and deep learning-based urban flood modeling methods have limitations that require a lot of ...
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