A Bidirectional Self-Rectifying Network with Bayesian Modelling for Vision-Based Crack Detection

Zhu, Q; Ha, Q

A Bidirectional Self-Rectifying Network with Bayesian Modelling for Vision-Based Crack Detection

Zhu, Q Ha, Q

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Industrial Informatics, 2022, pp. 1-1
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Zhu, Q
dc.contributor.author	Ha, Q https://orcid.org/0000-0003-0978-1758
dc.date.accessioned	2022-05-11T21:27:45Z
dc.date.available	2022-05-11T21:27:45Z
dc.date.issued	2022-01-01
dc.identifier.citation	IEEE Transactions on Industrial Informatics, 2022, pp. 1-1
dc.identifier.issn	1551-3203
dc.identifier.issn	1941-0050
dc.identifier.uri	http://hdl.handle.net/10453/157247
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Industrial Informatics
dc.relation.isbasedon	10.1109/tii.2022.3172995
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.subject.classification	Electrical & Electronic Engineering
dc.title	A Bidirectional Self-Rectifying Network with Bayesian Modelling for Vision-Based Crack Detection
dc.type	Journal Article
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
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/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2022-05-11T21:27:40Z
pubs.publication-status	Published

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