Automatic Classification of Seismo-Volcanic Signals with Deep Learning: The Case of Turrialba Volcano-Reference-Cited by-同舟云学术

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Automatic Classification of Seismo-Volcanic Signals with Deep Learning: The Case of Turrialba Volcano

Published:2023-11-28 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE 5th International Conference on BioInspired Processing (BIP)
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Author:

Salas Daniel Amador¹,Zumbado Manuel²,Pacheco Javier³,Mora Mauricio⁴,van der Laat Leonardo⁵,Meneses Esteban¹

Affiliation:

1. Costa Rica Institute of Technology,National High Technology Center,San José,Costa Rica

2. Costa Rica Institute of Technology,Cartago,Costa Rica

3. National University of Costa Rica,Heredia,Costa Rica

4. University of Costa Rica, Central American School of Geology,San José,Costa Rica

5. University of Michigan,Michigan,United States of America

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10379198/10379200/10379326.pdf?arnumber=10379326

Reference17 articles.

1. Seismic evolution of the 1989–1990 eruption sequence of Redoubt Volcano, Alaska

2. A multi-decadal view of seismic methods for detecting precursors of magma movement and eruption

3. Encyclopedia of Volcanoes

4. Volcanic Eruptions and Their Repose, Unrest, Precursors, and Timing

5. Trends in volcano seismology: 2010 to 2020 and beyond

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