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dc.contributor.authorGao, Zhongke
dc.contributor.authorDang, Weidong
dc.contributor.authorMu, Chaoxu
dc.contributor.authorYang, Yuxuan
dc.contributor.authorLi, Shan
dc.contributor.authorGrebogi, Celso
dc.date.accessioned2017-12-21T08:56:07Z
dc.date.available2017-12-21T08:56:07Z
dc.date.issued2018-08-04
dc.identifier.citationGao , Z , Dang , W , Mu , C , Yang , Y , Li , S & Grebogi , C 2018 , ' A Novel Multiplex Network-based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow System ' , IEEE Transactions on Industrial Informatics , vol. 14 , no. 9 , TII-17-2463 , pp. 3982-3988 . https://doi.org/10.1109/TII.2017.2785384en
dc.identifier.issn1551-3203
dc.identifier.otherPURE: 113311984
dc.identifier.otherPURE UUID: c9a93c86-a8f5-449a-95a6-cde23c1476c2
dc.identifier.otherScopus: 85040050810
dc.identifier.urihttp://hdl.handle.net/2164/9810
dc.descriptionThis work was supported by National Natural Science Foundation of China under Grant No. 61473203, and the Natural Science Foundation of Tianjin, China under Grant No. 16JCYBJC18200.en
dc.format.extent7
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Industrial Informaticsen
dc.rights(c) 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.en
dc.subjectsignal analysisen
dc.subjectindustrial multiphase flowen
dc.subjectmultiplex networken
dc.subjectinformation fusionen
dc.subjectQC Physicsen
dc.subject.lccQCen
dc.titleA Novel Multiplex Network-based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow Systemen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.contributor.institutionUniversity of Aberdeen.Mathematical Sciences (Research Theme)en
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1109/TII.2017.2785384


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