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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/tcas/JafariGTSOM19>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ali_Jafari>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ashwinkumar_Ganesan>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Chetan_Sai_Kumar_Thalisetty>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Tim_Oates_0001>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Tinoosh_Mohsenin>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Varun_Sivasubramanian>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1109%2FTCSI.2018.2848647>
foaf:homepage <https://doi.org/10.1109/TCSI.2018.2848647>
dc:identifier DBLP journals/tcas/JafariGTSOM19 (xsd:string)
dc:identifier DOI doi.org%2F10.1109%2FTCSI.2018.2848647 (xsd:string)
dcterms:issued 2019 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/tcas>
rdfs:label SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ali_Jafari>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ashwinkumar_Ganesan>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Chetan_Sai_Kumar_Thalisetty>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Tim_Oates_0001>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Tinoosh_Mohsenin>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Varun_Sivasubramanian>
swrc:number 1 (xsd:string)
swrc:pages 274-287 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/tcas/JafariGTSOM19/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/tcas/JafariGTSOM19>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/tcas/tcasI66.html#JafariGTSOM19>
rdfs:seeAlso <https://doi.org/10.1109/TCSI.2018.2848647>
dc:title SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 66-I (xsd:string)