Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109913
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorYou, L-
dc.creatorZhu, R-
dc.creatorKwan, MP-
dc.creatorChen, M-
dc.creatorZhang, F-
dc.creatorYang, B-
dc.creatorWong, MS-
dc.creatorQin, Z-
dc.date.accessioned2024-11-20T07:30:20Z-
dc.date.available2024-11-20T07:30:20Z-
dc.identifier.urihttp://hdl.handle.net/10397/109913-
dc.language.isoenen_US
dc.publisherCell Pressen_US
dc.rights© 2024 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication You, L., Zhu, R., Kwan, M.-P., Chen, M., Zhang, F., Yang, B., Wong, M. S., & Qin, Z. (2024). Unraveling adaptive changes in electric vehicle charging behavior toward the postpandemic era by federated meta-learning. The Innovation, 5(2), 100587 is available at https://doi.org/10.1016/j.xinn.2024.100587.en_US
dc.titleUnraveling adaptive changes in electric vehicle charging behavior toward the postpandemic era by federated meta-learningen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume5-
dc.identifier.issue2-
dc.identifier.doi10.1016/j.xinn.2024.100587-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationThe innovation, 4 Mar. 2024, v. 5, no. 2, 100587-
dcterms.isPartOfThe innovation-
dcterms.issued2024-03-04-
dc.identifier.scopus2-s2.0-85185576475-
dc.identifier.eissn2666-6758-
dc.identifier.artn100587-
dc.description.validate202411 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Guangdong Basic and Applied Basic Research Foundation, China; Social Sciences Innovation Seed Fund, A*STAR, Singaporeen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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