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In seismic hazard assessment to map the expected ground motion under a givenĮarthquake magnitude, and must influence building codes. Structures, they must be also recorded in seismic catalogs. In case of traces with poor signal-to-noise ratios or recording overlapping events.Įven though, small-magnitude earthquakes are not usually harmful for lives and civil Or automatic detection by traditional techniques may fail for low-magnitude events, Scarce on seismic catalogs compared to earthquakes of low magnitudes. Fortunately, earthquake magnitude andįrequency are inversely proportional, so events of large and moderate magnitudes are Of human depths and severe economic losses. Landslides, liquefaction and Tsunamis, being any of these direct or indirect causes Large-magnitude earthquakes may induce strong ground shaking, surface ruptures, Keywords: P and S seismic waves earthquake hypocenters supervised unsupervised and semisupervised deep and convolutional neural networks training and testing data sets Interpreters, who may face uncertainties in the case of small magnitude
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With a special focus on earthquake detection, and the estimation of onset times.įor a comparative framework, we give an insight into the labor of human The latest ANN applications to the automatic interpretation of seismic data, Individual weaknesses of most traditional algorithms, and spending modestĬomputational resources at the operational stage. Appropriated trained ANNĬan mimic the interpretation abilities of best human analysts, avoiding the Is pushing the state-of-the-art forward in many areas. Alternatively, recent advances are related to the application ofĪrtificial Neural Networks (ANNs), a subset of machine learning techniques that Seismic traces in the time or frequency domain, have been developed to assist Last forty years, traditional algorithms based on quantitative analyses of Identification, hypocenter location, and source mechanism analysis. These have fueled the researchįor the automation of interpretation tasks such as event detection, event Earthquake catalogs are fundamental forįault system studies, event modellings, seismic hazard assessment, forecasting,Īnd ultimately, for mitigating the seismic risk. As seismic networks continue to spread and monitoring sensors become moreĮfficient, the abundance of data highly surpasses the processing capabilities ofĮarthquake interpretation analysts.