Title: Graph-partitioning based convolutional neural network for earthquake detection using a seismic array
Abstract: Earth and Space Science Open Archive This work has been accepted for publication in Journal of Geophysical Research - Solid Earth. Version of RecordESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary. Learn more about preprints. preprintOpen AccessYou are viewing an older version [v1]Go to new versionGraph-partitioning based convolutional neural network for earthquake detection using a seismic arrayAuthors Keisuke Yano iD Takahiro Shiina iD Sumito Kurata Aitaro Kato Fumiyasu Komaki iD Shin'ichi Sakai Naoshi Hirata iDSee all authors Keisuke YanoiDCorresponding Author• Submitting AuthorThe institute of Statistical MathematicsiDhttps://orcid.org/0000-0003-2306-0455view email addressThe email was not providedcopy email addressTakahiro ShiinaiDGeological Survey of Japan, National Institute of Advanced Industrial Science and TechnologyiDhttps://orcid.org/0000-0003-0298-2039view email addressThe email was not providedcopy email addressSumito KurataThe University of Tokyoview email addressThe email was not providedcopy email addressAitaro KatoEarthquake Research Institute, The University of Tokyoview email addressThe email was not providedcopy email addressFumiyasu KomakiiDUniversity of TokyoiDhttps://orcid.org/0000-0001-8371-5092view email addressThe email was not providedcopy email addressShin'ichi SakaiUniversity of Tokyoview email addressThe email was not providedcopy email addressNaoshi HirataiDUniversity of TokyoiDhttps://orcid.org/0000-0002-4439-5388view email addressThe email was not providedcopy email address
Publication Year: 2020
Publication Date: 2020-05-29
Language: en
Type: preprint
Indexed In: ['crossref']
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