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dc.contributor.authorKang, Len_US
dc.contributor.authorPoslad, Sen_US
dc.contributor.authorWang, Wen_US
dc.contributor.authorLi, Xen_US
dc.contributor.authorZhang, Yen_US
dc.contributor.authorWang, Cen_US
dc.contributor.authorIEEEen_US
dc.date.accessioned2017-04-19T14:15:11Z
dc.date.issued2016en_US
dc.date.submitted2017-04-13T13:59:39.121Z
dc.identifier.issn2469-8792en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/22523
dc.format.extent1 - 8en_US
dc.subjectInternet of Thingsen_US
dc.subjectair quality monitoringen_US
dc.subjectroad condition detectionen_US
dc.titleA Public Transport Bus as a Flexible Mobile Smart Environment Sensing Platform for IoTen_US
dc.typeConference Proceeding
dc.rights.holder© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.identifier.doi10.1109/IE.2016.10en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000389831700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff
pubs.organisational-group/Queen Mary University of London/REF
pubs.organisational-group/Queen Mary University of London/REF/REF - UoA 11
pubs.publication-statusPublisheden_US


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