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Seong Jin Noh
Kumoh National Institute of TechnologyMeeting roles in:
Sensitivity Analysis of an AI Hydrologic Emulator under Ensemble Climate Projections
Evaluating a Multivariate Data Assimilation Framework for Urban Flood Forecasting : From Synthetic Tests to Real-World Application
Quantifying the Effects of Climate Change on Hydrological Extremes Using Coupled High-Resolution WRF-WRF-Hydro Simulations in South Korea
Physics-Guided Deep Learning Integrated with 1D–2D Hydrodynamic Modeling for Urban Pluvial Flood Prediction
Spatiotemporal Super-Resolution of Urban Flood Predictions using Multimodal Deep Learning
Integrating Surveillance Camera Data and Physics-Based Modeling for Urban Flood Risk Mapping
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