[HTML][HTML] The potential of region-specific machine-learning-based ground motion models: application to Turkey

A Mohammadi, S Karimzadeh, SA Banimahd… - Soil Dynamics and …, 2023 - Elsevier
Conventional ground motion models have extensively been established worldwide based
on classical regression analysis of records. Alternatively, advanced nonparametric machine …

Exploring the reliability of different artificial intelligence techniques in predicting earthquake for Malaysia

Y Essam, P Kumar, AN Ahmed, MA Murti… - Soil Dynamics and …, 2021 - Elsevier
Earthquakes have been universally recognised as seismological disasters that pose a threat
to civilization and need to be monitored through prediction models. The development and …

Predicting Models for Local Sedimentary Basin Effect Using a Convolutional Neural Network

X Yang, M Hu, X Chen, S Teng, G Chen, D Bassir - Applied Sciences, 2023 - mdpi.com
Although the numerical models can estimate the significant influence of local site conditions
on the seismic propagation characteristics near the surface in many studies, they cannot …

Application of grey wolf optimizer to develop new global GMPE for estimating peak ground acceleration

B Karimi Ghalehjough, S Agahian - Acta Geophysica, 2023 - Springer
Ground motion prediction equations (GMPEs) are open challenge problems that have been
developed since 1964. Parametric and nonparametric methods predict ground motion …

Attenuation Relationships for the Horizontal Component of Peak Ground Acceleration (PGAH) Using Gene Expression Programing (GEP) and Group Method of Data …

M Ajam, M Shamekhi Amiri… - Advances in Civil …, 2023 - Wiley Online Library
Earthquake is one of the natural disasters that has always influenced human life. It is not
currently possible to predict exactly when and where an earthquake will occur, nor how …