Machine learning analysis of features extracted from time–frequency domain of ultrasonic testing results for wood material assessment

Mousavi, M

Gandomi, AH Holloway, D Berry, A Chen, F

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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.contributor.author	Holloway, D
dc.contributor.author	Berry, A
dc.contributor.author	Chen, F
dc.date.accessioned	2022-06-16T04:18:24Z
dc.date.available	2022-06-16T04:18:24Z
dc.date.issued	2022-08-01
dc.identifier.citation	Construction and Building Materials, 2022, 342, pp. 127761
dc.identifier.issn	0950-0618
dc.identifier.uri	http://hdl.handle.net/10453/158209
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Construction and Building Materials
dc.relation.isbasedon	10.1016/j.conbuildmat.2022.127761
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0905 Civil Engineering, 1202 Building
dc.subject.classification	Building & Construction
dc.title	Machine learning analysis of features extracted from time–frequency domain of ultrasonic testing results for wood material assessment
dc.type	Journal Article
utslib.citation.volume	342
utslib.for	0905 Civil Engineering
utslib.for	1202 Building
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.date.updated	2022-06-16T04:18:22Z
pubs.publication-status	Accepted
pubs.volume	342

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