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, M | en_US |
dc.date.accessioned | 2021-01-27T20:48:19Z | |
dc.date.available | 2021-01-20 | en_US |
dc.date.available | 2021-01-27T20:48:19Z | |
dc.date.issued | 2021-01-20 | en_US |
dc.identifier.citation | IEEE Access, 2021 | en_US |
dc.identifier.issn | 2169-3536 | en_US |
dc.identifier.uri | http://hdl.handle.net/10179/16015 | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.uri | https://ieeexplore.ieee.org/document/9328769 | en_US |
dc.rights | CC BY 4.0 | en_US |
dc.title | A Machine Learning Approach to Enhance the Performance of D2D-Enabled Clustered Networks | en_US |
dc.type | Journal Article | |
dc.description.confidential | false | en_US |
dc.identifier.elements-id | 438131 | |
dc.relation.isPartOf | IEEE Access | en_US |
pubs.organisational-group | /Massey University | |
pubs.organisational-group | /Massey University/College of Sciences | |
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 |