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Article: A Domain-Specific Bayesian Deep-Learning Approach for Air Pollution Forecast

TitleA Domain-Specific Bayesian Deep-Learning Approach for Air Pollution Forecast
Authors
HAN, YLam, JCKLi, VOKZHANG, Q
Issue Date2022
Citation
IEEE Transactions on Big Data, 2022, v. 8, p. 1034-1046 How to Cite?
DOI: http://dx.doi.org/10.1109/TBDATA.2020.3005368
Persistent Identifierhttp://hdl.handle.net/10722/320225
ISI Accession Number ID
WOS:000822368700001

 

DC FieldValueLanguage
dc.contributor.authorHAN, Y-
dc.contributor.authorLam, JCK-
dc.contributor.authorLi, VOK-
dc.contributor.authorZHANG, Q-
dc.date.accessioned2022-10-21T07:49:17Z-
dc.date.available2022-10-21T07:49:17Z-
dc.date.issued2022-
dc.identifier.citationIEEE Transactions on Big Data, 2022, v. 8, p. 1034-1046-
dc.identifier.urihttp://hdl.handle.net/10722/320225-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Big Data-
dc.titleA Domain-Specific Bayesian Deep-Learning Approach for Air Pollution Forecast-
dc.typeArticle-
dc.identifier.emailLam, JCK: jcklam@eee.hku.hk-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityLam, JCK=rp00864-
dc.identifier.authorityLi, VOK=rp00150-
dc.identifier.doi10.1109/TBDATA.2020.3005368-
dc.identifier.hkuros339770-
dc.identifier.volume8-
dc.identifier.spage1034-
dc.identifier.epage1046-
dc.identifier.isiWOS:000822368700001-

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