Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7346
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dc.contributor.authorGürbüz, Sevgi Zübeyde-
dc.contributor.authorAmin, Moeness G.-
dc.date.accessioned2021-09-11T15:56:32Z-
dc.date.available2021-09-11T15:56:32Z-
dc.date.issued2019en_US
dc.identifier.issn1053-5888-
dc.identifier.issn1558-0792-
dc.identifier.urihttps://doi.org/10.1109/MSP.2018.2890128-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7346-
dc.description.abstract[No abstract available]en_US
dc.language.isoenen_US
dc.publisherIEEE-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIEEE Signal Processing Magazineen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleRadar-Based Human-Motion Recognition With Deep Learning Promising applications for indoor monitoringen_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.volume36en_US
dc.identifier.issue4en_US
dc.identifier.startpage16en_US
dc.identifier.endpage28en_US
dc.identifier.wosWOS:000473483100006en_US
dc.institutionauthorGürbüz, Sevgi Zübeyde-
dc.identifier.doi10.1109/MSP.2018.2890128-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.grantfulltextnone-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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