Use of Machine Learning and Robotics To Target Renewals in Concrete Gravity Sewers

Stephen, B Kacprzak, M Li, B Guo, T Wang, Y Viswanathan, V Kodagoda, S Thiyagarajan, K

Vitanage, D

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Field	Value	Language
dc.contributor.author	Stephen, B
dc.contributor.author	Kacprzak, M
dc.contributor.author	Li, B
dc.contributor.author	Guo, T
dc.contributor.author	Wang, Y
dc.contributor.author	Viswanathan, V
dc.contributor.author	Kodagoda, S
dc.contributor.author	Thiyagarajan, K https://orcid.org/0000-0002-4044-1711
dc.contributor.author	Vitanage, D
dc.date	2023-05-10
dc.date.accessioned	2023-08-20T11:19:11Z
dc.date.available	2023-08-20T11:19:11Z
dc.date.issued	2023-05-10
dc.identifier.citation	2023
dc.identifier.uri	http://hdl.handle.net/10453/171810
dc.language	en
dc.relation.ispartof	OzWater'23
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Use of Machine Learning and Robotics To Target Renewals in Concrete Gravity Sewers
dc.type	Conference Proceeding
utslib.location.activity	Sydney
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
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2023-08-20T11:19:09Z
pubs.finish-date	2023-05-12
pubs.publication-status	Published
pubs.start-date	2023-05-10

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