Representing Earthquake Accelerogram Records for Cnn Utilization;
| 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.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.rights | info:eu-repo/semantics/closedAccess | en_US |
| 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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| gdc.description.department | Kadir Has University | en_US |
| gdc.description.departmenttemp | 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 |
| gdc.description.endpage | 4 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 1 | |
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| gdc.oaire.keywords | Signal processing | |
| gdc.oaire.keywords | Silver | |
| gdc.oaire.keywords | Clustering algorithms | |
| gdc.oaire.keywords | Convolutinal Neural Networks | |
| gdc.oaire.keywords | Earthquake records | |
| gdc.oaire.keywords | Spectrograms | |
| gdc.oaire.keywords | False color | |
| gdc.oaire.keywords | Convolution | |
| gdc.oaire.keywords | Graphic methods | |
| gdc.oaire.keywords | ITS applications | |
| gdc.oaire.keywords | Earthquakes | |
| gdc.oaire.keywords | Earthquake Accelograms | |
| gdc.oaire.keywords | Convolutional neural networks | |
| gdc.oaire.keywords | Epicenter Clustering | |
| gdc.oaire.keywords | Accelerograms | |
| gdc.oaire.keywords | Convolutional networks | |
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| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
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