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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/dddas/Canady0BBG22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Aniruddha_Gokhale>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Daniel_Balasubramanian>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Robert_Canady>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Xingyu_Zhou_0010>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yogesh_D._Barve>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2F978-3-031-52670-1%5F32>
foaf:homepage <https://doi.org/10.1007/978-3-031-52670-1_32>
dc:identifier DBLP conf/dddas/Canady0BBG22 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2F978-3-031-52670-1%5F32 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
rdfs:label Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Aniruddha_Gokhale>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Daniel_Balasubramanian>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Robert_Canady>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Xingyu_Zhou_0010>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yogesh_D._Barve>
swrc:pages 325-339 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/dddas/2022>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/dddas/Canady0BBG22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/dddas/Canady0BBG22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/dddas/dddas2022.html#Canady0BBG22>
rdfs:seeAlso <https://doi.org/10.1007/978-3-031-52670-1_32>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/dddas>
dc:title Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document