A multi-station volcano-tectonic earthquakes monitoring based on Transfer Learning techniques.

<p>A multi-station volcano-tectonic earthquakes monitoring based on Transfer Learning techniques.</p> <p>Manuel Titos (1), Ligdamis Guti&eacute;rrez (2,3), Carmen Ben&iacute;tez (1), Pablo Rey Devesa (2,3), Ivan Koulakov (4) and Jes&uacute;s. M. Ib&aacute;&ntilde;ez (2,3)</p> <p><br> <strong>Institutions associated:</strong></p> <p>(1) CITIC, Department of Signal Processing, Telematic and Communications, University of Granada, 18071. Granada. Spain.<br> (2) Department of Theoretical Physics and Cosmos. Science Faculty. Avd. Fuentenueva s/n. University of Granada. 18071. Granada. Spain.<br> (3) Andalusian Institute of Geophysiscs. Campus de Cartuja. University of Granada. C/Profesor Clavera 12. 18071. Granada. Spain.<br> (4) Laboratory for Seismic Forward and Inverse Problems, Institute of Petroleum Geology and Geophysics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia</p> <p><br> <strong>Acknowledgment:</strong></p> <p>This is a short text to acknowledge the contributions of specific colleagues, institutions, or agencies that aided the efforts of the authors.</p> <p>a) This work is part of the research by the Spanish FEMALE project (PID2019-106260GB-I00). <strong>FEMALE </strong>(<em>Forecasting Volcanic Eruptions Using Signal Processing and Machine Learning Techniques on Seismic Signals</em>) https://femalevolcanoes.es/</p> <p><br> b) JMI and LG were partially funded by the Spanish project PROOF-FOREVER (EUR2022.134044).</p> <p><br> <strong>Keywords:</strong></p> <p>Automatic volcanic monitoring, real-time monitoring, Artificial Intelligence, Transfer Learning, Recurrent Neural Networks, Temporal Convolutional Networks.</p> <p>&nbsp;</p> <p><strong>Data availability statement:</strong></p> <p>Seismic data from Bezymianny volcano (2017), Kamchatka, Russia.</p> <p>&nbsp;</p> <p><strong>Contents:</strong></p> <p>Seismic Data from Bezymianny volcano recorded at stations BZ01, BZ02, BZ06 and BZ10.<br> The data represent the vertical component of the seismic signal, associated to the period analyzed in the study:</p>