Application of machine learning methods for earthquake detection from high-density temporary observation seismic records on a volcanic island

Author:

Azuma Hiroyuki,Kunimasa Hikaru,Kusumo Adrianto Widi,Oda Yoshiya,Watanabe Toshiki,Matsuoka Toshifumi

Funder

Tokyo Metropolitan Government

Publisher

Elsevier BV

Reference14 articles.

1. Monitoring the 2020 Magna, Utah, earthquake sequence with nodal seismometers and machine learning;Baker;Seismol. Res. Lett.,2021

2. Recent advances in earthquake seismology using machine learning;Kubo;Earth Planet. Space,2024

3. Rapid characterization of the July 2019 Ridgecrest, California, earthquake sequence from raw seismic data using machine-learning phase picker;Liu;Geophys. Res. Lett.,2020

4. Earthquake Transformer—an Attentive Deep Learning Model for Simultaneous Earthquake Detection and phase Picking;Mousavi;Nat. Commun.,2020

5. Machine-learning-based analysis of the Guy-Greenbrier, Arkansas earthquakes: a tale of two sequences;Park;Geophys. Res. Lett.,2020

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