Representing Earthquake Accelerogram Records for Cnn Utilization;

dc.authorscopusid 57221814749
dc.authorscopusid 23478717400
dc.authorscopusid 8331988500
dc.contributor.author Cikis,M.
dc.contributor.author Tileyoglu,S.
dc.contributor.author Akagunduz,E.
dc.date.accessioned 2024-10-15T19:42:04Z
dc.date.available 2024-10-15T19:42:04Z
dc.date.issued 2020
dc.department Kadir Has University en_US
dc.department-temp Cikis M., Çankaya University, Dept. of Electrical and Electronics Eng., Ankara, Turkey; Tileyoglu S., Kadir Has University, Dept. of Civil Eng., Istanbul, Turkey; Akagunduz E., Çankaya University, Dept. of Electrical and Electronics Eng., Ankara, Turkey en_US
dc.description.abstract In this study, a spectrogram based false color representation of earthquake accelergrams is proposed and its usability for both human investigation and its application in convolutional networks are discussed. By using more than forty two thousand earthquake records open to the public, an epicenter clustering algorithm was employed, and it was observed that earthquakes in similar clusters produce similar representations. The prospective purpose of the proposed representation is to estimate the epicenter of an earthquake by processing the accelerograms recorded in a single station using convolutional networks. © 2020 IEEE. en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.1109/SIU49456.2020.9302312
dc.identifier.isbn 978-172817206-4
dc.identifier.scopus 2-s2.0-85100301872
dc.identifier.uri https://doi.org/10.1109/SIU49456.2020.9302312
dc.identifier.uri https://hdl.handle.net/20.500.12469/6514
dc.language.iso tr en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings -- 28th Signal Processing and Communications Applications Conference, SIU 2020 -- 5 October 2020 through 7 October 2020 -- Gaziantep -- 166413 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Convolutinal Neural Networks en_US
dc.subject Earthquake Accelograms en_US
dc.subject Epicenter Clustering en_US
dc.title Representing Earthquake Accelerogram Records for Cnn Utilization; en_US
dc.title.alternative Evrisimsel Ag Kullanimi İcin Deprem Ivmeolcer Kayitlarinin Gosterimi en_US
dc.type Conference Object en_US
dspace.entity.type Publication

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