Natural and anthropogenic sources of seismic, hydroacoustic, and infrasonic waves: Waveforms and spectral characteristics (and their applicability for sensor …
The record of seismic, hydroacoustic, and infrasonic waves is essential to detect, identify,
and localize sources of both natural and anthropogenic origin. To guarantee traceability and …
and localize sources of both natural and anthropogenic origin. To guarantee traceability and …
Full waveform seismological advances for microseismic monitoring
The observation of microseismicity has raised the interest of the seismological and
geoengineering communities in the last decades, and a significant effort has been spent to …
geoengineering communities in the last decades, and a significant effort has been spent to …
An optimized learning model augment analyst decisions for seismic source discrimination
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 …
vast range of up-to-date and thematic information. Besides, obtaining an uncontaminated …
[HTML][HTML] Automatic classification of seismic events within a regional seismograph network
J Kortström, M Uski, T Tiira - Computers & Geosciences, 2016 - Elsevier
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 …
regional seismograph network. The method is based on a supervised pattern recognition …
Enhancing analyst decisions for seismic source discrimination with an optimized learning model
Sustainable development in urban areas requires a wide variety of current and theme-based
information for efficient management and planning. In addition, researching the spatial …
information for efficient management and planning. In addition, researching the spatial …
Discrimination between small earthquakes and quarry blasts in Egypt using spectral source characteristics
Source parameters calculated from displacement spectra of both P and S waves are used to
discriminate between earthquakes and quarry blasts in three regions of Egypt during the …
discriminate between earthquakes and quarry blasts in three regions of Egypt during the …
Classifying seismic waveforms from scratch: a case study in the alpine environment
Nowadays, an increasing amount of seismic data is collected by daily observatory routines.
The basic step for successfully analyzing those data is the correct detection of various event …
The basic step for successfully analyzing those data is the correct detection of various event …
New CNN-based tool to discriminate anthropogenic from natural low magnitude seismic events
C Hourcade, M Bonnin, É Beucler - Geophysical Journal …, 2023 - academic.oup.com
With the deployment of high quality and dense permanent seismic networks over the last 15
yr comes a dramatic increase of data to process. In order to lower the threshold value of …
yr comes a dramatic increase of data to process. In order to lower the threshold value of …
Toward false event detection and quarry blast versus earthquake discrimination in an operational setting using semiautomated machine learning
Small‐magnitude earthquakes shed light on the spatial and magnitude distribution of natural
seismicity, as well as its rate and occurrence, especially in stable continental regions where …
seismicity, as well as its rate and occurrence, especially in stable continental regions where …
Research on seismic signal analysis based on machine learning
In this paper, the time series classification frontier method MiniRocket was used to classify
earthquakes, blasts, and background noise. From supervised to unsupervised classification …
earthquakes, blasts, and background noise. From supervised to unsupervised classification …