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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/eurosys/DashKHTWCKM23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Abhinav_Kshitij>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Chris_Turner>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Dell_Wolfensparger>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Mun_Gi_Choi>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Pranab_Dash>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Viviane_E._McLandrich>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Y._Charlie_Hu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Z._Jonny_Kong>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1145%2F3578354.3592870>
foaf:homepage <https://doi.org/10.1145/3578354.3592870>
dc:identifier DBLP conf/eurosys/DashKHTWCKM23 (xsd:string)
dc:identifier DOI doi.org%2F10.1145%2F3578354.3592870 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
rdfs:label How to Pipeline Frame Transfer and Server Inference in Edge-assisted AR to Optimize AR Task Accuracy? (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Abhinav_Kshitij>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Chris_Turner>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Dell_Wolfensparger>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Mun_Gi_Choi>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Pranab_Dash>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Viviane_E._McLandrich>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Y._Charlie_Hu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Z._Jonny_Kong>
swrc:pages 36-41 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/eurosys/2023edgesys>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/eurosys/DashKHTWCKM23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/eurosys/DashKHTWCKM23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/eurosys/edgesys2023.html#DashKHTWCKM23>
rdfs:seeAlso <https://doi.org/10.1145/3578354.3592870>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/eurosys>
dc:title How to Pipeline Frame Transfer and Server Inference in Edge-assisted AR to Optimize AR Task Accuracy? (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document