dc.contributor.author | Cao, X | en_US |
dc.contributor.author | Zhu, X | en_US |
dc.contributor.author | Tian, Z | en_US |
dc.contributor.author | Chen, J | en_US |
dc.contributor.author | Wu, D | en_US |
dc.contributor.author | Du, W | en_US |
dc.date.accessioned | 2018-08-09T09:59:21Z | |
dc.date.available | 2018-07-14 | en_US |
dc.date.issued | 2018-10 | en_US |
dc.date.submitted | 2018-07-27T14:29:47.924Z | |
dc.identifier.issn | 0968-090X | en_US |
dc.identifier.other | C | |
dc.identifier.other | C | |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/43166 | |
dc.format.extent | 61 - 81 | en_US |
dc.relation.ispartof | TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES | en_US |
dc.rights | © 2018 Elsevier Ltd. | |
dc.subject | Airspace operation complexity | en_US |
dc.subject | Complexity evaluation | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Small samples | en_US |
dc.subject | Knowledge transfer | en_US |
dc.subject | Evaluator integration | en_US |
dc.title | A knowledge-transfer-based learning framework for airspace operation complexity evaluation | en_US |
dc.type | Article | |
dc.rights.holder | https://doi.org/10.1016/j.trc.2018.07.008 | |
dc.identifier.doi | 10.1016/j.trc.2018.07.008 | en_US |
pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000447112500004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.notes | No embargo | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 95 | en_US |