Deep learning for structural health monitoring under environmental and operational variations

Mousavi, M

Gandomi, AH

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Publisher:: SPIE
Publication Type:: Conference Proceeding
Citation:: Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV, 2021, pp. 16
Issue Date:: 2021-03-22

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Field	Value	Language
dc.contributor.author	Mousavi, M https://orcid.org/0000-0002-0436-5176
dc.contributor.author	Gandomi, AH
dc.date	2021-03-22
dc.date.accessioned	2021-04-16T06:31:03Z
dc.date.available	2021-04-16T06:31:03Z
dc.date.issued	2021-03-22
dc.identifier.citation	Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV, 2021, pp. 16
dc.identifier.isbn	9781510640139
dc.identifier.uri	http://hdl.handle.net/10453/148175
dc.language	en
dc.publisher	SPIE
dc.relation.ispartof	Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV
dc.relation.ispartof	Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV
dc.relation.isbasedon	10.1117/12.2582649
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Deep learning for structural health monitoring under environmental and operational variations
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/A/DRsch The Data Science Institute
utslib.copyright.status	open_access	*
dc.date.updated	2021-04-16T06:31:02Z
pubs.finish-date	2021-03-27
pubs.publication-status	Published
pubs.start-date	2021-03-22

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