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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/ieiceee/LiuHLGZD23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Chunsheng_Zhu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Gaofeng_Huang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Junwei_Li>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Pengfei_Guo>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yanjiang_Liu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Zibin_Dai>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1587%2Felex.20.20230141>
foaf:homepage <https://doi.org/10.1587/elex.20.20230141>
dc:identifier DBLP journals/ieiceee/LiuHLGZD23 (xsd:string)
dc:identifier DOI doi.org%2F10.1587%2Felex.20.20230141 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/ieiceee>
rdfs:label MA-GRNN:a high-efficient modeling attack approach utilizing generalized regression neural network for XOR arbiter physical unclonable functions. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Chunsheng_Zhu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Gaofeng_Huang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Junwei_Li>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Pengfei_Guo>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yanjiang_Liu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Zibin_Dai>
swrc:number 13 (xsd:string)
swrc:pages 20230141 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/ieiceee/LiuHLGZD23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/ieiceee/LiuHLGZD23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/ieiceee/ieiceee20.html#LiuHLGZD23>
rdfs:seeAlso <https://doi.org/10.1587/elex.20.20230141>
dc:title MA-GRNN:a high-efficient modeling attack approach utilizing generalized regression neural network for XOR arbiter physical unclonable functions. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 20 (xsd:string)