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Article: A machine learning-enhanced design optimizer for urban cooling

TitleA machine learning-enhanced design optimizer for urban cooling
Authors
HAO, THuang, JHe, XLi, LJones, P
Issue Date2022
Citation
Indoor and Built Environment, 2022, p. 1420326X2211128 How to Cite?
DOI: http://dx.doi.org/10.1177/1420326X221112857
Persistent Identifierhttp://hdl.handle.net/10722/318209
ISI Accession Number ID
WOS:000835908600001

 

DC FieldValueLanguage
dc.contributor.authorHAO, T-
dc.contributor.authorHuang, J-
dc.contributor.authorHe, X-
dc.contributor.authorLi, L-
dc.contributor.authorJones, P-
dc.date.accessioned2022-10-07T10:34:39Z-
dc.date.available2022-10-07T10:34:39Z-
dc.date.issued2022-
dc.identifier.citationIndoor and Built Environment, 2022, p. 1420326X2211128-
dc.identifier.urihttp://hdl.handle.net/10722/318209-
dc.languageeng-
dc.relation.ispartofIndoor and Built Environment-
dc.titleA machine learning-enhanced design optimizer for urban cooling-
dc.typeArticle-
dc.identifier.emailHuang, J: jxhuang@hku.hk-
dc.identifier.authorityHuang, J=rp01758-
dc.identifier.doi10.1177/1420326X221112857-
dc.identifier.hkuros337751-
dc.identifier.spage1420326X2211128-
dc.identifier.epage1420326X2211128-
dc.identifier.isiWOS:000835908600001-

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