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Coseismic landslide hazard modeling methodologies - Abstract



                  This project reviews statistical and physical approaches to coseismic landslide hazard modeling, more specifically, logistic regression analysis, back-propagation artificial neural network analysis, and capacity-demand analysis.

                  Landslide hazard modeling is important for landslide prediction in spatial and temporal domains, aiding in land-use development and emergency planning. 

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