A review of machine learning techniques for optical wireless communication in intelligent transport systems
dc.article.end-page | 33 | en |
dc.article.start-page | 1 | en |
dc.citation.doi | 10.23919/ICN.2024.0019 | en |
dc.contributor.author | Thabelang Sefako | en |
dc.contributor.author | F Yang | en |
dc.contributor.author | J Song | en |
dc.contributor.author | Reevana Balmahoon | en |
dc.contributor.author | Ling Cheng | en |
dc.date.accessioned | 2024-11-15T12:28:07Z | |
dc.date.available | 2024-11-15T12:28:07Z | |
dc.faculty | FACULTY OF ENGINEERING & THE BUILT ENVIRONMENT | en |
dc.identifier.citation | SCOPUS | en |
dc.identifier.issn | 27086240 | en |
dc.identifier.uri | https://hdl.handle.net/10539/42604 | |
dc.journal.title | A review of machine learning techniques for optical wireless communication in intelligent transport systems | en |
dc.journal.volume | 5 | en |
dc.school | 3.05 | en |
dc.title | A review of machine learning techniques for optical wireless communication in intelligent transport systems | en |
dc.type | Journal Article | en |
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