Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/7346
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gürbüz, Sevgi Zübeyde | - |
dc.contributor.author | Amin, Moeness G. | - |
dc.date.accessioned | 2021-09-11T15:56:32Z | - |
dc.date.available | 2021-09-11T15:56:32Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 1053-5888 | - |
dc.identifier.issn | 1558-0792 | - |
dc.identifier.uri | https://doi.org/10.1109/MSP.2018.2890128 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/7346 | - |
dc.description.abstract | [No abstract available] | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | en_US |
dc.relation.ispartof | IEEE Signal Processing Magazine | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | [No Keywords] | en_US |
dc.title | Radar-Based Human-Motion Recognition With Deep Learning Promising Applications for Indoor Monitoring | en_US |
dc.type | Article | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | en_US |
dc.identifier.volume | 36 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.startpage | 16 | en_US |
dc.identifier.endpage | 28 | en_US |
dc.identifier.wos | WOS:000473483100006 | - |
dc.institutionauthor | Gürbüz, Sevgi Zübeyde | - |
dc.identifier.doi | 10.1109/MSP.2018.2890128 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q1 | - |
dc.identifier.wosquality | Q1 | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.openairetype | Article | - |
item.grantfulltext | none | - |
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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