Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6566
Full metadata record
DC FieldValueLanguage
dc.contributor.authorÜbeyli, Elif Derya-
dc.date.accessioned2021-09-11T15:37:28Z-
dc.date.available2021-09-11T15:37:28Z-
dc.date.issued2007en_US
dc.identifier.issn0957-4174-
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2006.06.008-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6566-
dc.description.abstractIn this paper, the multiclass support vector machines (SVMs) with the error correcting output codes (ECOC) were presented for the multiclass Doppler ultrasound signals (ophthalmic arterial Doppler signals and internal carotid arterial Doppler signals) classification problems. Decision making was performed in two stages: feature extraction by computing the wavelet coefficients and classification using the classifier trained on the extracted features. The purpose was to determine an optimum classification scheme for this problem and also to infer clues about the extracted features. The present research demonstrated that the wavelet coefficients are the features which well represent the studied Doppler ultrasound signals and the multiclass SVMs trained on these features achieved high classification accuracies. (c) 2006 Elsevier Ltd. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applicationsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectmulticlass support vector machine (SVM)en_US
dc.subjectwavelet coefficientsen_US
dc.subjectDoppler ultrasound signalsen_US
dc.titleDoppler ultrasound signals analysis using multiclass support vector machines with error correcting output codesen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.volume33en_US
dc.identifier.issue3en_US
dc.identifier.startpage725en_US
dc.identifier.endpage733en_US
dc.identifier.wosWOS:000245754400019en_US
dc.identifier.scopus2-s2.0-33847686774en_US
dc.institutionauthorÜbeyli, Elif Derya-
dc.identifier.doi10.1016/j.eswa.2006.06.008-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

5
checked on Mar 23, 2024

WEB OF SCIENCETM
Citations

9
checked on Mar 9, 2024

Page view(s)

18
checked on Mar 25, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.