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dc.contributor.authorCao, Xen_US
dc.contributor.authorZhu, Xen_US
dc.contributor.authorTian, Zen_US
dc.contributor.authorChen, Jen_US
dc.contributor.authorWu, Den_US
dc.contributor.authorDu, Wen_US
dc.date.accessioned2018-08-09T09:59:21Z
dc.date.available2018-07-14en_US
dc.date.issued2018-10en_US
dc.date.submitted2018-07-27T14:29:47.924Z
dc.identifier.issn0968-090Xen_US
dc.identifier.otherC
dc.identifier.otherC
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/43166
dc.format.extent61 - 81en_US
dc.relation.ispartofTRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIESen_US
dc.rights© 2018 Elsevier Ltd.
dc.subjectAirspace operation complexityen_US
dc.subjectComplexity evaluationen_US
dc.subjectMachine learningen_US
dc.subjectSmall samplesen_US
dc.subjectKnowledge transferen_US
dc.subjectEvaluator integrationen_US
dc.titleA knowledge-transfer-based learning framework for airspace operation complexity evaluationen_US
dc.typeArticle
dc.rights.holderhttps://doi.org/10.1016/j.trc.2018.07.008
dc.identifier.doi10.1016/j.trc.2018.07.008en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000447112500004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNo embargoen_US
pubs.publication-statusPublisheden_US
pubs.volume95en_US


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