Hybrid Deep Learning for Assembly Action Recognition in Smart Manufacturing

Matin, A Islam, MR Zhu, Y Wang, X

Huo, H Xu, G

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Field	Value	Language
dc.contributor.author	Matin, A
dc.contributor.author	Islam, MR
dc.contributor.author	Zhu, Y
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9582-3445
dc.contributor.author	Huo, H
dc.contributor.author	Xu, G
dc.date	2023-10-26
dc.date.accessioned	2023-10-10T02:14:47Z
dc.date.available	2023-10-10T02:14:47Z
dc.date.issued	2023-12-28
dc.identifier.citation	2023
dc.identifier.uri	http://hdl.handle.net/10453/172613
dc.language	en
dc.relation	http://purl.org/au-research/grants/arc/LE220100078
dc.relation	http://purl.org/au-research/grants/arc/DE180100251
dc.relation.ispartof	11th International Conference on Informatics, Electronics & Vision
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Hybrid Deep Learning for Assembly Action Recognition in Smart Manufacturing
dc.type	Conference Proceeding
utslib.location.activity	London, UK
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 Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CCSP - Centre for Cyber Security and Privacy
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2023-10-10T02:14:45Z
pubs.finish-date	2023-10-29
pubs.publication-status	Accepted
pubs.start-date	2023-10-26

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