Artificial intelligence based design optimization for improving diversity in wireless links.
| dc.contributor.advisor | Naidoo, Bashan. | |
| dc.contributor.advisor | Quazi, Tahmid Al-Mumit. | |
| dc.contributor.author | Solwa, Shaheen. | |
| dc.date.accessioned | 2022-04-20T13:31:11Z | |
| dc.date.available | 2022-04-20T13:31:11Z | |
| dc.date.created | 2021 | |
| dc.date.issued | 2021 | |
| dc.description | Masters Degree. University of KwaZulu-Natal, Durban. | en_US |
| dc.description.abstract | Abstract available in PDF. | en_US |
| dc.identifier.uri | https://researchspace.ukzn.ac.za/handle/10413/20332 | |
| dc.language.iso | en | en_US |
| dc.subject.other | Computational complexity. | en_US |
| dc.subject.other | Crossover techniques. | en_US |
| dc.subject.other | Labelling diversity. | en_US |
| dc.subject.other | Genetic algorithm. | en_US |
| dc.subject.other | Information codewords. | en_US |
| dc.title | Artificial intelligence based design optimization for improving diversity in wireless links. | en_US |
| dc.type | Thesis | en_US |