Jul 5, 2014 · This study describes research to design a seismic detection system to act at the level of a seismic station, providing a similar role to that of STA/LTA ratio- ...

This paper extends a Support Vector Machine (SVM) approach for the detection of seismic events, at the level of a seismic station.

Dec 19, 2019 · We use a machine learning method employing support vector machine (SVM) to classify tectonic earthquakes (TEs), quarry blasts (QBs), and induced earthquakes ( ...

This study describes research to design a seismic detection system to act at the level of a seismic station, providing a similar role to that of STA/LTA ...

Oct 22, 2024 · Support vector machines have also been used for discrimination of earthquakes and explosions (52) and for earthquake detection in continuous ...

Our objective is to detect seismic events from one IMS seismic station located in an area of high seismicity and mining activity and classify them as ...

The goal of SVM is to divide the datasets into classes to find a maximum marginal hyperplane. SVM classifiers offer great accuracy and work well with high ...

Dec 2, 2024 · In this study, a full-feature support vector regression (SVR) model is used to predict MDR of building structures under ground motion based on ...

This study describes research to design a seismic detection system to act at the level of a seismic station, providing a similar role to that of STA/LTA ...

Oct 22, 2024 · This paper extends a Support Vector Machine (SVM) approach for the detection of seismic events, at the level of a seismic station.