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A deep convolutional neural network model for rapid prediction of fluvial flood inundation
Most of the two-dimensional (2D) hydraulic/hydrodynamic models are still computationally too demanding for real-time applications.
A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs
Few attempts have been made for urban topography which is typically an integration of complex man-made and natural features.
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