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Article: Discussing street tree planning based on pedestrian volume using machine learning and computer vision

TitleDiscussing street tree planning based on pedestrian volume using machine learning and computer vision
Authors
Li, ZMa, J
Issue Date2022
Citation
Building and Environment, 2022, v. 219, p. 109178 How to Cite?
DOI: http://dx.doi.org/10.1016/j.buildenv.2022.109178
Persistent Identifierhttp://hdl.handle.net/10722/318134
ISI Accession Number ID
WOS:000808451900004

 

DC FieldValueLanguage
dc.contributor.authorLi, Z-
dc.contributor.authorMa, J-
dc.date.accessioned2022-10-07T10:33:17Z-
dc.date.available2022-10-07T10:33:17Z-
dc.date.issued2022-
dc.identifier.citationBuilding and Environment, 2022, v. 219, p. 109178-
dc.identifier.urihttp://hdl.handle.net/10722/318134-
dc.languageeng-
dc.relation.ispartofBuilding and Environment-
dc.titleDiscussing street tree planning based on pedestrian volume using machine learning and computer vision-
dc.typeArticle-
dc.identifier.emailLi, Z: zlihku@hku.hk-
dc.identifier.emailMa, J: junma@hku.hk-
dc.identifier.authorityMa, J=rp02719-
dc.identifier.doi10.1016/j.buildenv.2022.109178-
dc.identifier.hkuros337971-
dc.identifier.volume219-
dc.identifier.spage109178-
dc.identifier.epage109178-
dc.identifier.isiWOS:000808451900004-

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