Physics-Informed CNN-LSTM for street-scale urban flood prediction: reconciling aggregate accuracy and street-level plausibility
Read the original at arxiv.org→arXiv:2607.25148v1 Announce Type: new Abstract: Deep learning surrogate models trained with mean-squared-error loss produce statistically accurate but physically unconstrained flood predictions: water may flow...
Original headline: "Physics-Informed CNN-LSTM for Street-Scale Urban Flood Prediction: Reconciling Aggregate Accuracy and Street-Level Plausibility"
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- Jul 29, 04:00 UTC arXiv cs.LG lead source Physics-Informed CNN-LSTM for Street-Scale Urban Flood Prediction: Reconciling Aggregate Accuracy and Street-Level Plausibility