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Feature selection of pre-trained shallow CNN using the QLESCA optimizer: COVID-19 detection as a case study
According to the World Health Organization, millions of infections and a lot of deaths have been recorded worldwide since the emergence of the coronavirus disease (COVID-19). Since 2020, a lot of computer science researchers have used convolutional neural networks (CNNs) to develop interesting frame...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer US
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900578/ https://www.ncbi.nlm.nih.gov/pubmed/36777882 http://dx.doi.org/10.1007/s10489-022-04446-8 |