Seismic events and blasts generate seismic waveforms that have different characteristics.
The challenge to confidently differentiate these two signatures is complex and requires the …

Efficient handling and planning for the urban regions' sustainable development require a
vast range of up-to-date and thematic information. Besides, obtaining an uncontaminated …

We develop an automated strategy for discriminating deep microseismic events from
shallow ones on the basis of the waveforms recorded on a limited number of surface …

Mankind is vulnerable to artificial seismic sources and accompanying explosions'
consequences. Recently, seismicity catalog contamination is among the main problems …

Microseismic monitoring gives mining engineers information about the local state and stress
conditions of the rock mass. By receiving real-time information on the location of seismic …

This paper presents a fully automatic method for seismic event classification within a sparse
regional seismograph network. The method is based on a supervised pattern recognition …

Correctly distinguishing microseismic and blasting events in underground excavations is
fundamental to subsequent geophysical analysis activities such as rock burst early warning …

The discrimination of microseismic events and quarry blasts has been examined in this
paper. To do so, Principal Component Analysis (PCA) and Artificial Neural Networks (ANN) …

Abstract Existing Earthquake Early Warning Systems (EEWSs) calculates the location and
magnitude of an earthquake using real-time waveforms from seismic stations within a few …

Discriminating between various types of seismic events is of significant scientific and
societal importance. We use a machine learning method employing support vector machine …