Editorial: Artificial intelligence methods for the water- environment-food-energy nexus

Feng, ZK Wen, SP Niu, WJ

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Field	Value	Language
dc.contributor.author	Feng, ZK
dc.contributor.author	Wen, SP
dc.contributor.author	Niu, WJ
dc.date.accessioned	2024-01-16T21:33:14Z
dc.date.available	2024-01-16T21:33:14Z
dc.date.issued	2023-01-04
dc.identifier.citation	Frontiers in Environmental Science, 2023, 10
dc.identifier.issn	2296-665X
dc.identifier.issn	2296-665X
dc.identifier.uri	http://hdl.handle.net/10453/174651
dc.language	English
dc.publisher	FRONTIERS MEDIA SA
dc.relation.ispartof	Frontiers in Environmental Science
dc.relation.isbasedon	10.3389/fenvs.2022.1118406
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0502 Environmental Science and Management
dc.subject.classification	4104 Environmental management
dc.subject.classification	4105 Pollution and contamination
dc.title	Editorial: Artificial intelligence methods for the water- environment-food-energy nexus
dc.type	Journal Article
utslib.citation.volume	10
utslib.for	0502 Environmental Science and Management
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 - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	open_access	*
dc.date.updated	2024-01-16T21:33:12Z
pubs.publication-status	Published
pubs.volume	10

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