The 2020 update of the European Seismic Hazard Model (ESHM20) is the most recent and
up-to-date assessment of seismic hazard for the Euro-Mediterranean region. The new …

In this paper, we propose a location-dependent earthquake prediction based on recurrent
neural network algorithms. The location-dependent prediction consists of clustering the …

Earthquake catalogs are essential to analyze the evolution of active fault systems. The
background seismicity rate, or rate of earthquakes that are not directly triggered by other …

This study aims to characterize the frequency magnitude distribution factor (b-value) for
Nepal and its surrounding area-thereby focusing on conducting spatiotemporal and depth …

Costa Rica is a seismically active region located in a subduction zone. Combining
earthquake data from the National Seismological Network and several Central American …

Clustering is a fundamental feature of earthquakes that impacts basic and applied analyses
of seismicity. Events included in the existing short‐duration instrumental catalogs are …

The accurate and impartial identification of background seismic activity is an important
foundation for earthquake model construction and probabilistic seismic hazard analysis …

The distribution of earthquakes in time and space is seldom stationary, which could hinder a
robust statistical analysis, particularly in low‐seismicity regions with limited data. This work …

Traditionally, probabilistic seismic hazard analysis (PSHA) considers only mainshock events
and models their temporal occurrence through a homogeneous Poisson process. Thus, it …

The 2020 update of the European Seismic Hazard Model (ESHM20) is the most recent
seismic hazard model of the Euro-Mediterranean region. It was built upon unified and …