Machine Learning for Efficient Water Infrastructure Management

Li, Z

Liang, B

Wang, Y

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Field	Value	Language
dc.contributor.author	Li, Z https://orcid.org/0000-0002-0784-157X
dc.contributor.author	Liang, B https://orcid.org/0000-0002-6605-2167
dc.contributor.author	Wang, Y https://orcid.org/0000-0002-6815-0879
dc.date.accessioned	2023-03-14T22:07:20Z
dc.date.available	2023-03-14T22:07:20Z
dc.date.issued	2022-12-02
dc.identifier.citation	Humanity Driven AI, 2022, pp. 37-61
dc.identifier.isbn	9783030721879
dc.identifier.uri	http://hdl.handle.net/10453/167326
dc.language	en
dc.publisher	Springer Nature
dc.relation	Commonwealth Scientific and Industrial Research Organisation
dc.relation.ispartof	Humanity Driven AI
dc.relation.isbasedon	10.1007/978-3-030-72188-6_3
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Machine Learning for Efficient Water Infrastructure Management
dc.type	Chapter
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	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-03-14T22:07:19Z
pubs.publication-status	Published

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