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dc.contributor.authorGjoreski, Hen_US
dc.contributor.authorCiliberto, Men_US
dc.contributor.authorWANG, Len_US
dc.contributor.authorOrdonez Morales, FJen_US
dc.contributor.authorMekki, Sen_US
dc.contributor.authorValentin, Sen_US
dc.contributor.authorRoggen, Den_US
dc.date.accessioned2018-09-13T10:23:29Z
dc.date.available2018-07-15en_US
dc.date.issued2018-07-23en_US
dc.date.submitted2018-09-02T18:04:43.742Z
dc.identifier.issn2169-3536en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/44588
dc.format.extent42592 - 42604 (13)en_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofIEEE Accessen_US
dc.titleThe University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Deviceen_US
dc.typeArticle
dc.rights.holder© 2018 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/ACCESS.2018.2858933en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume6en_US
dcterms.dateAccepted2018-07-15en_US


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