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COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach
The main objective of this paper is to further improve the current time-series prediction (forecasting) algorithms based on hybrids between machine learning and nature-inspired algorithms. After the recent COVID-19 outbreak, almost all countries were forced to impose strict measures and regulations...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836389/ https://www.ncbi.nlm.nih.gov/pubmed/33520607 http://dx.doi.org/10.1016/j.scs.2020.102669 |