Machine learning (ML) is a collection of methods used to develop understanding and
predictive capability by learning relationships embedded in data. ML methods are becoming …

The term “earthquake early warning”(EEW) is used to describe real-time earthquake
information systems that have the potential to provide warning prior to significant ground …

This article provides an overview of current applications of machine learning (ML) in
seismology. ML techniques are becoming increasingly widespread in seismology, with …

In recent years, with the gradual depletion of shallow mineral resources, the exploitation of
deep mineral resources has become an inevitable trend. Microseismic monitoring is one of …

Earthquake localization is both a necessity within the field of seismology, and a prerequisite
for further analysis such as source studies and hazard assessment. Traditional localization …

This study describes a deep convolutional neural network (CNN) based technique to predict
intensity measurements (IMs) of earthquake ground shaking. The input data to the CNN …

Abstract An Earthquake Early Warning System (EEWS) can save lives. It can also be used to
manage the critical lifeline infrastructure and essential facilities. Recent research on …

In earthquake early warning (EEW), every sufficiently impulsive signal is potentially the first
evidence for an unfolding large earthquake. More often than not, however, impulsive signals …

P 波震相的自动拾取可用于地震预警中地震事件判别和地震定位, 是实现基于地震台网地震预警
的首要条件. 针对地震预警中P 波震相拾取的特点, 本文发展了一套基于长短时平均(STA/LTA) …

Modern technology allows real-time seismic monitoring facilities to evolve into earthquake
early warning (EEW) systems, capable of reducing deaths, injuries, and economic losses, as …