Representing Earthquake Accelerogram Records for Cnn Utilization

dc.contributor.author Cikis, Melis
dc.contributor.author Tileylioğlu, Salih
dc.contributor.author Tileyoğlu, Salih
dc.contributor.author Akagündüz, Erdem
dc.contributor.other Civil Engineering
dc.date.accessioned 2021-07-05T16:50:40Z
dc.date.available 2021-07-05T16:50:40Z
dc.date.issued 2020
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. en_US
dc.description.sponsorship Istanbul Medipol Univ en_US
dc.identifier.citationcount 0
dc.identifier.isbn 978-1-7281-7206-4
dc.identifier.issn 2165-0608 en_US
dc.identifier.issn 2165-0608
dc.identifier.uri https://hdl.handle.net/20.500.12469/4050
dc.identifier.wos WOS:000653136100286 en_US
dc.institutionauthor Tileyoğlu, Salih en_US
dc.language.iso tr en_US
dc.publisher IEEE en_US
dc.relation.journal 2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Convolutinal Neural Networks en_US
dc.subject Epicenter Clustering en_US
dc.subject Earthquake Accelograms en_US
dc.title Representing Earthquake Accelerogram Records for Cnn Utilization en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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