Metal/Nonmetal classification of particles with deep learning

Zwinkau, R Möhle, R Frentrup, S Deuse, J

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Field	Value	Language
dc.contributor.author	Zwinkau, R
dc.contributor.author	Möhle, R
dc.contributor.author	Frentrup, S
dc.contributor.author	Deuse, J https://orcid.org/0000-0003-4066-4357
dc.date.accessioned	2022-09-01T22:38:05Z
dc.date.available	2022-09-01T22:38:05Z
dc.date.issued	2018-10-01
dc.identifier.citation	JOT, Journal fuer Oberflaechentechnik, 2018, 58, (10), pp. 50-57
dc.identifier.issn	0940-8789
dc.identifier.issn	2192-869X
dc.identifier.uri	http://hdl.handle.net/10453/161205
dc.language	de
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	JOT, Journal fuer Oberflaechentechnik
dc.relation.isbasedon	10.1007/s35144-018-0291-7
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Metal/Nonmetal classification of particles with deep learning
dc.type	Journal Article
utslib.citation.volume	58
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-09-01T22:38:04Z
pubs.issue	10
pubs.publication-status	Published
pubs.volume	58
utslib.citation.issue	10

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