C2-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction

Chu, Y Li, L Xie, Q Xu, G

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Publication Type:: Chapter
Citation:: Advances in Knowledge Discovery and Data Mining, 2021, 12712, pp. 779-790
Issue Date:: 2021-05-09

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Field	Value	Language
dc.contributor.author	Chu, Y
dc.contributor.author	Li, L
dc.contributor.author	Xie, Q
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663
dc.date.accessioned	2022-01-19T01:17:55Z
dc.date.available	2022-01-19T01:17:55Z
dc.date.issued	2021-05-09
dc.identifier.citation	Advances in Knowledge Discovery and Data Mining, 2021, 12712, pp. 779-790
dc.identifier.uri	http://hdl.handle.net/10453/153335
dc.language	en
dc.relation.ispartof	Advances in Knowledge Discovery and Data Mining
dc.relation.isbasedon	10.1007/978-3-030-75762-5_61
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	C2-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction
dc.type	Chapter
utslib.citation.volume	12712
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 - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-05-09T00:00:00+1000Z
dc.date.updated	2022-01-19T01:17:53Z
pubs.volume	12712

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