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dc.contributor.authorAslam, Sen_US
dc.contributor.authorAlam, Fen_US
dc.contributor.authorHasan, SFen_US
dc.contributor.authorRashid, Men_US
dc.date.accessioned2021-01-27T20:48:19Z
dc.date.available2021-01-20en_US
dc.date.available2021-01-27T20:48:19Z
dc.date.issued2021-01-20en_US
dc.identifier.citationIEEE Access, 2021en_US
dc.identifier.issn2169-3536en_US
dc.identifier.urihttp://hdl.handle.net/10179/16015
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.urihttps://ieeexplore.ieee.org/document/9328769en_US
dc.rightsCC BY 4.0en_US
dc.titleA Machine Learning Approach to Enhance the Performance of D2D-Enabled Clustered Networksen_US
dc.typeJournal Article
dc.description.confidentialfalseen_US
dc.identifier.elements-id438131
dc.relation.isPartOfIEEE Accessen_US
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
dc.identifier.harvestedMassey_Dark
pubs.notesNot knownen_US
dc.subject.anzsrc08 Information and Computing Sciencesen_US
dc.subject.anzsrc09 Engineeringen_US
dc.subject.anzsrc10 Technologyen_US


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