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Proposal for a System Model for Offline Seismic Event Detection in Colombia
2020
Future Internet
This paper presents an integrated model for seismic events detection in Colombia using machine learning techniques. Machine learning is used to identify P-wave windows in historic records and hence detect seismic events. The proposed model has five modules that group the basic detection system procedures: the seeking, gathering, and storage seismic data module, the reading of seismic records module, the analysis of seismological stations module, the sample selection module, and the
doi:10.3390/fi12120231
fatcat:vky5wjtvmzh3hbhw7w2od4elou