Machine learning-based modeling and analysis of PFAS controlling systems in protecting water resources

Altaee, A; Hosseinzadeh, A; Li, X; Zhou, J

Machine learning-based modeling and analysis of PFAS controlling systems in protecting water resources

Altaee, A

Hosseinzadeh, A Li, X Zhou, J

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Current Opinion In Chemical Engineering, 2023, 42
Issue Date:: 2023-11-03

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Field	Value	Language
dc.contributor.author	Altaee, A https://orcid.org/0000-0001-9764-3974
dc.contributor.author	Hosseinzadeh, A
dc.contributor.author	Li, X
dc.contributor.author	Zhou, J
dc.date.accessioned	2023-11-03T03:10:01Z
dc.date.available	2023-11-03T03:10:01Z
dc.date.issued	2023-11-03
dc.identifier.citation	Current Opinion In Chemical Engineering, 2023, 42
dc.identifier.issn	2211-3398
dc.identifier.uri	http://hdl.handle.net/10453/172963
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Current Opinion In Chemical Engineering
dc.relation.isbasedon	10.1016/j.coche.2023.100983
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0904 Chemical Engineering
dc.subject.classification	4004 Chemical engineering
dc.title	Machine learning-based modeling and analysis of PFAS controlling systems in protecting water resources
dc.type	Journal Article
utslib.citation.volume	42
utslib.for	0904 Chemical Engineering
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 Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	embargoed	*
pubs.consider-herdc	false
utslib.copyright.embargo	2025-12-01T00:00:00+1000Z
dc.date.updated	2023-11-03T03:09:59Z
pubs.publication-status	Published
pubs.volume	42

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http://hdl.handle.net/10453/172963