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...

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Detalles Bibliográficos
Autores principales: Zivkovic, Miodrag, Bacanin, Nebojsa, Venkatachalam, K., Nayyar, Anand, Djordjevic, Aleksandar, Strumberger, Ivana, Al-Turjman, Fadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
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

Internet

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

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