Theoretical analysis of advanced intelligent computing in environmental research

Wen, S

Feng, ZK Huang, T Zhang, N

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Field	Value	Language
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Feng, ZK
dc.contributor.author	Huang, T
dc.contributor.author	Zhang, N
dc.date.accessioned	2023-02-28T03:45:12Z
dc.date.available	2023-02-28T03:45:12Z
dc.date.issued	2022-04-01
dc.identifier.citation	Environmental Research Letters, 2022, 17, (4), pp. 040401
dc.identifier.issn	1748-9318
dc.identifier.issn	1748-9326
dc.identifier.uri	http://hdl.handle.net/10453/166534
dc.language	en
dc.publisher	IOP Publishing
dc.relation	National Natural Science Foundation of China61673187
dc.relation.ispartof	Environmental Research Letters
dc.relation.isbasedon	10.1088/1748-9326/ac4a32
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Meteorology & Atmospheric Sciences
dc.title	Theoretical analysis of advanced intelligent computing in environmental research
dc.type	Journal Article
utslib.citation.volume	17
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	2023-02-28T03:45:10Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	17
utslib.citation.issue	4

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