A deep learning-based building defects detection tool for sustainability monitoring

Ekanayake, B

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Field	Value	Language
dc.contributor.author	Ekanayake, B https://orcid.org/0000-0002-9929-1586
dc.date	2022-06-24
dc.date.accessioned	2022-06-26T05:19:54Z
dc.date.available	2022-06-26T05:19:54Z
dc.date.issued	2022-06-25
dc.identifier.citation	2022
dc.identifier.uri	http://hdl.handle.net/10453/158374
dc.language	en
dc.relation.ispartof	10th World Construction Symposium, 2022
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A deep learning-based building defects detection tool for sustainability monitoring
dc.type	Conference Proceeding
utslib.location.activity	Colombo, Sri Lanka
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-06-26T05:19:53Z
pubs.finish-date	2022-06-25
pubs.publication-status	Published
pubs.start-date	2022-06-24

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