Automatic detection and classification of seismological events using advances machine learning methods

Becerra Yoma, Néstor; Azurdia, Cesar; Poblete, Víctor; Huenupán, Fernando

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Fecha de publicación: 2020
Objetivos: The general objective of this project is to investigate and apply state-of-the-art artificial intelligence schemes, particularly machine learning, and signal processing methods to: improve the detection and phase picking of seismic signals; detect smaller than M3 earthquakes; and improve the magnitu
Programa: FONDEF
Año de Inicio/Término: 2020-2022
Financiamiento/Sponsor: CONICYT
Rol del Usuario: COINVESTIGADOR(A)
DOI:

ID20i10212