Multi-Class Error Detection in Industrial Screw Driving Operations Using Machine Learning

West, N Deuse, J

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Field	Value	Language
dc.contributor.author	West, N
dc.contributor.author	Deuse, J https://orcid.org/0000-0003-4066-4357
dc.date.accessioned	2026-01-07T02:10:35Z
dc.date.available	2026-01-07T02:10:35Z
dc.identifier.citation	ITISE 2025, pp. 15
dc.identifier.uri	http://hdl.handle.net/10453/191397
dc.language	en
dc.publisher	MDPI
dc.relation.ispartof	ITISE 2025
dc.relation.ispartof	ITISE 2025
dc.relation.isbasedon	10.3390/engproc2025101015
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Multi-Class Error Detection in Industrial Screw Driving Operations Using Machine Learning
dc.type	Conference Proceeding
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
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Advanced Manufacturing (CAM)
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2026-01-07T02:10:34Z
pubs.publication-status	Published online

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