An Adaptive Genetic Algorithm with Recursive Feature Elimination Approach for Predicting Malaria Vector Gene Expression Data Classification using Support Vector Machine Kernels
dc.contributor.author | Arowolo, Micheal Olaolu | |
dc.contributor.author | Adebiyi, Marion Olubunmi | |
dc.contributor.author | Nnodim, Chiebuka Timothy | |
dc.date.accessioned | 2023-08-31T14:39:37Z | |
dc.date.available | 2023-08-31T14:39:37Z | |
dc.date.issued | 2021-07-27 | |
dc.description.sponsorship | ACE: Applied Informatics and Communication | en_US |
dc.identifier.issn | 1686-3933 | |
dc.identifier.uri | http://hdl.handle.net/123456789/2107 | |
dc.language.iso | en | en_US |
dc.publisher | Walailak J Sci & Tech | en_US |
dc.relation.ispartofseries | Walailak J Sci & Tech;2021; 18(17) | |
dc.subject | Adaptive genetic algorithm | en_US |
dc.subject | Recursive feature elimination | en_US |
dc.subject | Malaria vector | en_US |
dc.subject | Vector Machine kernels | en_US |
dc.subject | Nigeria | en_US |
dc.subject | ACE: Applied Informatics and Communication | en_US |
dc.subject | Covenant University | en_US |
dc.subject | Digital Development | en_US |
dc.title | An Adaptive Genetic Algorithm with Recursive Feature Elimination Approach for Predicting Malaria Vector Gene Expression Data Classification using Support Vector Machine Kernels | en_US |
dc.type | Article | en_US |