Volcan de Fuego: A Machine Learning Approach in Understanding the Eruptive Cycles Using Precursory Tilt Signals | Zendy

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Volcan de Fuego: A Machine Learning Approach in Understanding the Eruptive Cycles Using Precursory Tilt Signals

Author(s) -

Kay Sivaraj

Publication year - 2021

Language(s) - English

Resource type - Dissertations/theses

DOI - 10.37099/mtu.dc.etdr/1241

Subject(s) - strombolian eruption , geology , stratovolcano , pyroclastic rock , seismology , volcano , impact crater , seismometer , tiltmeter , basaltic andesite , andesite , volcanic rock , astrobiology , amplitude , physics , quantum mechanics

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