In this study, new models are derived to predict the peak time-domain characteristics of
strong ground-motions utilizing a novel hybrid method coupling artificial neural network …

Defining the possible scenario of earthquake-induced landslides, Arias intensity is
frequently used as a shaking parameter, being considered the most suitable for …

A novel hybrid method coupling genetic programming and orthogonal least squares, called
GP/OLS, was employed to derive new ground-motion prediction equations (GMPEs). The …

High-precision attenuation models were derived to estimate peak ground acceleration
(PGA), velocity (PGV), and displacement (PGD) using a new variant of genetic programming …

Many large-scale landslides have occurred along the Dadu River, in particular in the middle
section of the river, located on the eastern edge of the Qinghai–Tibet Plateau. The large …

Particularly in the last decade, landslide susceptibility and hazard maps have been used for
urban planning and site selection of infrastructures. Most of the procedures for preparing of …

Part of the mountainous semi-arid areas of Iran is geologically and topographically
susceptible to landslides. A study was conducted at the Merek catchment, Iran which is …

The main objective of this study is to evaluate the performances of different earthquake-
induced landslides susceptibility mapping models at mountainous regions in China. At first …

This study presents new attenuation models for the estimation of peak ground acceleration
(PGA), peak ground velocity (PGV), and peak ground displacement (PGD) using a hybrid …

Understanding where seismically induced landslides are most likely to occur is crucial in
land use planning and civil protection actions aimed at reducing property damage and loss …