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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/corr/abs-2311-13060>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/A._Sibidanov>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/R._Mandal>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/R._Sinha>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/S._Dubey>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/S._Kohani>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/T._E._Browder>
foaf:homepage <http://dx.doi.org/doi.org%2F10.48550%2FarXiv.2311.13060>
foaf:homepage <https://doi.org/10.48550/arXiv.2311.13060>
dc:identifier DBLP journals/corr/abs-2311-13060 (xsd:string)
dc:identifier DOI doi.org%2F10.48550%2FarXiv.2311.13060 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/corr>
rdfs:label Training Deep 3D Convolutional Neural Networks to Extract BSM Physics Parameters Directly from HEP Data: a Proof-of-Concept Study Using Monte Carlo Simulations. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/A._Sibidanov>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/R._Mandal>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/R._Sinha>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/S._Dubey>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/S._Kohani>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/T._E._Browder>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/corr/abs-2311-13060/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/corr/abs-2311-13060>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/corr/corr2311.html#abs-2311-13060>
rdfs:seeAlso <https://doi.org/10.48550/arXiv.2311.13060>
dc:title Training Deep 3D Convolutional Neural Networks to Extract BSM Physics Parameters Directly from HEP Data: a Proof-of-Concept Study Using Monte Carlo Simulations. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume abs/2311.13060 (xsd:string)