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dc.contributor.authorAwad, Marwan
dc.contributor.authorHamdoun, Hassan
dc.date.accessioned2016-08-16T11:00:04Z
dc.date.available2016-08-16T11:00:04Z
dc.date.issued2016-04-25
dc.identifier.citationAwad , M & Hamdoun , H 2016 , A framework for modelling mobile radio access networks for intelligent fault management . in Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016 . , 7458004 , Institute of Electrical and Electronics Engineers Inc. , pp. 43-49 , Conference of Basic Sciences and Engineering Studies, SGCAC 2016 , Khartoum , Sudan , 20/02/16 . https://doi.org/10.1109/SGCAC.2016.7458004en
dc.identifier.citationconferenceen
dc.identifier.isbn9781509018123
dc.identifier.otherPURE: 69922624
dc.identifier.otherPURE UUID: 4e688f4a-9f23-49b6-99fe-b694973cc68b
dc.identifier.otherScopus: 84979088528
dc.identifier.urihttp://hdl.handle.net/2164/7345
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=84979088528&partnerID=8YFLogxKen
dc.format.extent7
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016en
dc.rights© 2016 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.subjectData Miningen
dc.subjectIntelligent Fault Managementen
dc.subjectNetwork Graph and RAN Modelen
dc.subjectRadio Access Network (RAN)en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectArtificial Intelligenceen
dc.subjectComputer Networks and Communicationsen
dc.subjectComputer Science Applicationsen
dc.subjectEnergy Engineering and Power Technologyen
dc.subject.lccQA75en
dc.titleA framework for modelling mobile radio access networks for intelligent fault managementen
dc.typeConference itemen
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1109/SGCAC.2016.7458004
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84979088528&partnerID=8YFLogxKen


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