Machine learning–based ground motion models for shallow crustal earthquakes in active tectonic regions
F Sedaghati, S Pezeshk - Earthquake Spectra, 2023 - journals.sagepub.com
Data-driven ground motion models (GMMs) for the average horizontal component from
shallow crustal continental earthquakes in active tectonic regions are derived using a subset …
shallow crustal continental earthquakes in active tectonic regions are derived using a subset …
Ensemble region‐specific GMMs for subduction earthquakes
F Sedaghati, S Pezeshk - Seismological Research …, 2024 - pubs.geoscienceworld.org
This study develops data‐driven global and region‐specific ground‐motion models (GMMs)
for subduction earthquakes using a weighted average ensemble model to combine four …
for subduction earthquakes using a weighted average ensemble model to combine four …
Neural network-based subduction ground motion model and its application to New Zealand and the Andaman and Nicobar Islands
ABSTRACT A deep learning model is developed for the Next Generation Attenuation–
Subduction database for predicting spectral accelerations and peak amplitude measures …
Subduction database for predicting spectral accelerations and peak amplitude measures …
Dependence of horizontal PGA prediction on site conditions at critically short hypocentral distances: an analysis based on Japanese strong motion data
N Masoumi, H Sadeghi, M Sarmad - Annals of Geophysics, 2024 - annalsofgeophysics.eu
A fundamental element in seismic hazard assessment studies is the prediction of maximum
values of ground accelerations. This is achieved through an attenuation relationship, also …
values of ground accelerations. This is achieved through an attenuation relationship, also …