Time series classification with their image representation

Basit Öğe Kaydı
dc.contributor.authorHomenda, Wladyslaw
dc.contributor.authorJastrzebska, Agnieszka
dc.contributor.authorPedrycz, Witold
dc.contributor.authorWrzesien, Mariusz
dc.date.accessioned2024-05-19T14:47:02Z
dc.date.available2024-05-19T14:47:02Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThe study is concerned with the problem of classification of multivariate time series using convolutional neural networks (CNNs). As CNNs regard inputs in the form of images, an original image -like format of temporal data is proposed. Along this line, several design alternatives are studied by forming images with the two corresponding coordinates built by the original temporal data and their differences and second differences. An overall design process is presented with a focus on investigating time series -image transformations. Experimental studies involving publicly available data sets are reported, along with a slew of comparative analyses.en_US
dc.description.sponsorshipWarsaw University of Technology, Polanden_US
dc.description.sponsorshipResearch was funded by the Warsaw University of Technology, Poland within the Excellence Initiative: Research University (IDUB) programme.The authors would like to thank Mr. Wiktor Rzemek, Mr. Jakub Stefaniuk and Mr. Przemyslaw Wcislo. They conducted computational tests in October-December 2021 in frames of a student's project under the supervision of Prof. Wladyslaw Homenda.en_US
dc.identifier.doi10.1016/j.neucom.2023.127214
dc.identifier.issn0925-2312
dc.identifier.issn1872-8286
dc.identifier.scopus2-s2.0-85182026814en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.neucom.2023.127214
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5640
dc.identifier.volume573en_US
dc.identifier.wosWOS:001155841100001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofNeurocomputingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectTime Seriesen_US
dc.subjectData To Image Transformationsen_US
dc.subjectClassificationen_US
dc.subjectConvolutional Neural Networksen_US
dc.titleTime series classification with their image representationen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu