The accurate and automated determination of small earthquake (ML< 3.0) locations is still a
challenging endeavor due to low signal-to-noise ratio in data. However, such information is …

To rapidly and accurately provide alerts at target sites near the epicentre, we develop an on-
site alert-level earthquake early warning (EEW) strategy involving P-wave signals and …

The epicentral region of earthquakes is typically where liquefaction-related damage takes
place. To determine the maximum distance, such as maximum epicentral distance (R e) …

Earthquakes are disasters that threaten the operational safety of high-speed railways. To
obtain reliable alerts for the earthquake monitoring and early warning systems of high-speed …

An effective earthquake early warning system requires rapid and reliable earthquake source
detection. Despite the numerous proposed epicenter localization solutions in recent years …

The accuracy of earthquake localization is of great importance for earthquake monitoring
systems. Traditionally, numerical optimization methods are used to estimate the hypocenter …

This paper explores the application of deep learning (DL) techniques to strong motion
records for single-station epicenter localization. Often underutilized in seismology-related …

The objective of this research is to develop a new approach to estimate earthquake arrival
azimuth using seismological records of the" El Rosal" station, near to the city of Bogota …

Türkiye genelinde, 6 Şubat 2023 Kahramanmaraş depremleri ile birlikte, depremin yıkıcılığı
karşısında hem toplumsal hem de idari anlamda hassasiyet önemli ölçüde artmıştır. Olası …

This paper proposes a deep learning method for epicentral distance estimation using a
single-channel seismic waveform. The model is based on a convolutional recurrent neural …