https://m2.mtmt.hu/ hun 2026-09-21 05:14 BookChapter 32854180 APPROVED true 0 false 2026-07-23T11:10:21.861+0000 2025-02-26T16:22:36.376+0000 2022-05-31T18:14:45.404+0000 true 10055269 Bozóki Tamás /api/author/10055269 Author true 10055269 2025-02-26T16:22:36.382+0000 2025-02-26T16:22:36.382+0000 true false true 31 31 /api/publicationtype/31 PublicationType 4 true 31 BookChapter true 10000175 Abstract true 31 31 /api/publicationtype/31 PublicationType 4 true 31 BookChapter /api/subtype/10000175 Absztrakt / Kivonat SubType 453 true 10000175 true 1 /api/category/1 Category true 1 Horváth, András Classifying earthquakes and mining activity with deep neural networks EGU22-10382 EGU22-10382 2022 Earthquake detection and phase picking are central problems of seismic activity analysis. Traditional approaches [1] and machine learning methods [2] are applied in this domain, typically performing well on commonly investigated standard datasets reaching above 99% accuracy in seismic activity detection. Unfortunately, most databases in the literature contain only earthquake data as detectable activities and spurious activities such as mining are not included in these datasets. We have investigated a recently published deep neural network-based method [3] and found that these detectors are fooled by mining activity. To solve this problem, we have created a complex dataset that contains 1200 independently recorded mining and earthquake activities from Central Europe. Our dataset poses a more complex problem than commonly investigated datasets such as the STanford EArthquake Dataset and can be viewed as an extension of that. We have trained a convolutional neural network containing five convolutional and three fully-connected layers to classify these signals on this dataset and reached a 94% classification accuracy, which demonstrates that the categorization of mining activity and earthquakes is possible with modern machine learning approaches.[1] Galiana-Merino, J. J., Rosa-Herranz, J. L., & Parolai, S. (2008). Seismic P Phase Picking Using a Kurtosis-Based Criterion in the Stationary Wavelet Domain. IEEE Transactions on Geoscience and Remote Sensing, 46(11), 3815-3826. [2] Zhu, W., & Beroza, G. C. (2019). PhaseNet: a deep-neural-network-based seismic arrival-time picking method. Geophysical Journal International, 216(1), 261-273. [3] Mousavi, S. M., Ellsworth, W. L., Zhu, W., Chuang, L. Y., & Beroza, G. C. (2020). Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking. Nature communications, 11(1), 1-12. 2022 true true false true true false NONE 2026-07-23 false 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 false false false false 2022-08-29T18:14:46.502+0000 Földfizikai és Űrtudományi Kutatóintézet; Információs Technológiai és Bionikai Kar (PPKE); Környezettudományi Doktori Iskola (SZTE / DI) 6 36 3 6 0 true true 10002 English /api/language/10002 Angol Language true 2 false true 10793 true 10039 /api/country/10039 Country true 2149310 /api/city/10793 City true 1329954 true 20817830 NO /api/publicationidentifier/20817830 https://meetingorganizer.copernicus.org/EGU22/meetingprogramme https://meetingorganizer.copernicus.org/EGU22/meetingprogramme PublicationIdentifier true 40 Other URL @@@ /api/publicationsource/40 Egyéb URL PlainSource true true 10006 /api/publicationsourcetype/10006 PublicationSourceType true true 40 true false /api/publication/32758220 true true 32 32 /api/publicationtype/32 PublicationType 6 true 32 Book EGU General Assembly 2022: Abstracts false false 32758220 false true true true false Book 2022 true 1 /api/category/1 Category true 1 false Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 101887637 /api/authorship/101887637 1 0.167 true false Author 10029872 /api/author/10029872 Horváth András true 10029872 true Horváth András true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101887638 /api/authorship/101887638 2 0.16666667 false false Author 10066197 /api/author/10066197 Timkó Máté true true Timkó Máté true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101887639 /api/authorship/101887639 3 0.16666667 false false Author 10016851 /api/author/10016851 Marótiné Kiszely Márta true 10016851 true Kiszely Márta true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101887640 /api/authorship/101887640 4 0.16666667 false false Author 10055269 /api/author/10055269 Bozóki Tamás true 10055269 true Bozóki Tamás true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101887641 /api/authorship/101887641 5 0.16666667 false false Author 10060523 /api/author/10060523 Bozsó István true 10060523 true Bozsó István true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101887642 /api/authorship/101887642 6 0.16666667 false true Author 10050722 /api/author/10050722 Kuslits Lukács true 10050722 true Kuslits Lukács true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 21069633 /api/publicationidentifier/21069633 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true 10.5194/egusphere-egu22-10382 https://doi.org/10.5194/egusphere-egu22-10382 false true /api/publication/32854180 <div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10029872"><a href="/gui2/?type=authors&mode=browse&sel=10029872" target="_blank">Horváth András (<span class="authorship-author-name">Horváth András</span> <span class="authorAux-mtmt"> mérnöki tudományok</span>) </a> </span> <span class="author-affil"><span title="Pázmány Péter Katolikus Egyetem">PPKE</span>/Információs Technológiai és Bionikai Kar; Földfizikai és Űrtudományi Kutatóintézet</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10066197"><a href="/gui2/?type=authors&mode=browse&sel=10066197" target="_blank">Timkó Máté (<span class="authorship-author-name">Timkó Máté</span> <span class="authorAux-mtmt"> Szeizmológia</span>) </a> </span> <span class="author-affil">Földfizikai és Űrtudományi Kutatóintézet</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10016851"><a href="/gui2/?type=authors&mode=browse&sel=10016851" target="_blank">Kiszely Márta (<span class="authorship-author-name">Marótiné Kiszely Márta</span> <span class="authorAux-mtmt"> Szeizmológia</span>) </a> </span> <span class="author-affil">Földfizikai és Űrtudományi Kutatóintézet</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10055269"><a href="/gui2/?type=authors&mode=browse&sel=10055269" target="_blank">Bozóki Tamás (<span class="authorship-author-name">Bozóki Tamás</span> <span class="authorAux-mtmt"> Geofizika</span>) </a> </span> <span class="author-affil"><span title="Szegedi Tudományegyetem">SZTE</span>/<span title="Doktori Iskolák">DI</span>/Környezettudományi Doktori Iskola; Földfizikai és Űrtudományi Kutatóintézet</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10060523"><a href="/gui2/?type=authors&mode=browse&sel=10060523" target="_blank">Bozsó István (<span class="authorship-author-name">Bozsó István</span> <span class="authorAux-mtmt"> Geofizika</span>) </a> </span> <span class="author-affil">Földfizikai és Űrtudományi Kutatóintézet</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10050722"><a href="/gui2/?type=authors&mode=browse&sel=10050722" target="_blank">Kuslits Lukács (<span class="authorship-author-name">Kuslits Lukács</span> <span class="authorAux-mtmt"> felszíni geofizika</span>) </a> </span> <span class="author-affil">Földfizikai és Űrtudományi Kutatóintézet</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;32854180" target="_blank">Classifying earthquakes and mining activity with deep neural networks</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-affil">European Geosciences Union General Assembly</span> (szerk.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;32758220" target="_blank">EGU General Assembly 2022: Abstracts </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Vienna, Ausztria <span class="conference-date">2022.05.23. - 2022.05.27.</span> </div> <span class="publishedAt">Bécs: <span class="publishers">European Geosciences Union (EGU)</span>, <span class="page"> Paper EGU22-10382. </span> <span class="year">(2022)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.5194/egusphere-egu22-10382" target="_blank" href="https://doi.org/10.5194/egusphere-egu22-10382"> DOI </a> </span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://meetingorganizer.copernicus.org/EGU22/meetingprogramme" target="_blank" href="https://meetingorganizer.copernicus.org/EGU22/meetingprogramme"> Egyéb URL </a> </span> </span> <div class="mtid"><span class="long-pub-mtid">Közlemény: 32854180</span> | <span class="status-data status-APPROVED"> Nyilvános </span> <span class="long-book-mtid">Befoglaló: 32758220</span> Forrás | <span class="type-subtype">Egyéb konferenciaközlemény ( Absztrakt / Kivonat ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Utolsó módosítás: 2025.02.26. 17:22 Ladányi Gusztáv (MTMT API user, admin) </div> </div> </div>