dc.contributor.author | Aslam, S | en_US |
dc.contributor.author | Alam, F | en_US |
dc.contributor.author | Hasan, SF | en_US |
dc.contributor.author | Rashid, MA | en_US |
dc.date.available | 2021 | en_US |
dc.date.issued | 2021 | en_US |
dc.identifier | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000613539600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef | en_US |
dc.identifier.citation | IEEE ACCESS, 2021, 9 pp. 16114 - 16132 | en_US |
dc.identifier.issn | 2169-3536 | en_US |
dc.format.extent | 16114 - 16132 | en_US |
dc.relation.uri | https://ieeexplore.ieee.org/document/9328769 | en_US |
dc.rights | CC BY 4.0 | en_US |
dc.subject | Clustering algorithm | en_US |
dc.subject | content multicasting | en_US |
dc.subject | D2D enabled networks | en_US |
dc.subject | deep neural networks | en_US |
dc.subject | eNB loading | en_US |
dc.subject | machine learning | en_US |
dc.subject | random forest | en_US |
dc.subject | support vector machine | en_US |
dc.subject | user segregation | en_US |
dc.title | A Machine Learning Approach to Enhance the Performance of D2D-Enabled Clustered Networks | en_US |
dc.type | Journal Article | |
dc.citation.volume | 9 | en_US |
dc.identifier.doi | 10.1109/ACCESS.2021.3053045 | en_US |
dc.identifier.elements-id | 438131 | |
dc.relation.isPartOf | IEEE ACCESS | en_US |
dc.description.publication-status | Published | en_US |
pubs.organisational-group | /Massey University | |
pubs.organisational-group | /Massey University/College of Sciences | |
pubs.organisational-group | /Massey University/College of Sciences/School of Food and Advanced Technology | |
dc.identifier.harvested | Massey_Dark | |
pubs.notes | Not known | en_US |
dc.subject.anzsrc | 08 Information and Computing Sciences | en_US |
dc.subject.anzsrc | 09 Engineering | en_US |
dc.subject.anzsrc | 10 Technology | en_US |