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Article: Edge Learning With Unmanned Ground Vehicle: Joint Path, Energy, and Sample Size Planning

TitleEdge Learning With Unmanned Ground Vehicle: Joint Path, Energy, and Sample Size Planning
Authors
Issue Date2021
Citation
IEEE Internet of Things Journal, 2021, v. 8, p. 2959-2975 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/296365
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, D-
dc.contributor.authorWang, S-
dc.contributor.authorWen, Z-
dc.contributor.authorCheng, L-
dc.contributor.authorWen, M-
dc.contributor.authorWu, YC-
dc.date.accessioned2021-02-22T04:54:16Z-
dc.date.available2021-02-22T04:54:16Z-
dc.date.issued2021-
dc.identifier.citationIEEE Internet of Things Journal, 2021, v. 8, p. 2959-2975-
dc.identifier.urihttp://hdl.handle.net/10722/296365-
dc.languageeng-
dc.relation.ispartofIEEE Internet of Things Journal-
dc.titleEdge Learning With Unmanned Ground Vehicle: Joint Path, Energy, and Sample Size Planning-
dc.typeArticle-
dc.identifier.emailWen, M: mwwen@hku.hk-
dc.identifier.emailWu, YC: ycwu@eee.hku.hk-
dc.identifier.authorityWu, YC=rp00195-
dc.identifier.doi10.1109/JIOT.2020.3023000-
dc.identifier.hkuros321340-
dc.identifier.volume8-
dc.identifier.spage2959-
dc.identifier.epage2975-
dc.identifier.isiWOS:000616317000066-

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