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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/jim/GaikwadCGWMPSR22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Andrew_Pascall>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Aniruddha_Gaikwad>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Brian_Giera>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/David_Stobbe>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Nicholas_W._Watkins>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Prahalada_Rao>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Saptarshi_Mukherjee>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Tammy_Chang>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2Fs10845-022-01977-2>
foaf:homepage <https://doi.org/10.1007/s10845-022-01977-2>
dc:identifier DBLP journals/jim/GaikwadCGWMPSR22 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2Fs10845-022-01977-2 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/jim>
rdfs:label In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Andrew_Pascall>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Aniruddha_Gaikwad>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Brian_Giera>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/David_Stobbe>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Nicholas_W._Watkins>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Prahalada_Rao>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Saptarshi_Mukherjee>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Tammy_Chang>
swrc:number 7 (xsd:string)
swrc:pages 2093-2117 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/jim/GaikwadCGWMPSR22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/jim/GaikwadCGWMPSR22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/jim/jim33.html#GaikwadCGWMPSR22>
rdfs:seeAlso <https://doi.org/10.1007/s10845-022-01977-2>
dc:title In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 33 (xsd:string)