openalexZenodo (CERN European Organization for Nuclear Research)2026-08-01
Deep Learning Enables Transferable Rheological Parameters for Landslide Runout Prediction
This dataset contains numerical simulation results and deep-learning–based predictions used to investigate transferable rheological parameters for landslide runout modeling. The data were generated using a physics-based shallow water equation (SWE) framework coupled with a deep n…
Also available via: European Organization for Nuclear Research