Načítá se...
Maximum likelihood-based extended Kalman filter for COVID-19 prediction
Prediction of COVID-19 spread plays a significant role in the epidemiology study and government battles against the epidemic. However, the existing studies on COVID-19 prediction are dominated by constant model parameters, unable to reflect the actual situation of COVID-19 spread. This paper present...
Uloženo v:
| Vydáno v: | Chaos Solitons Fractals |
|---|---|
| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Elsevier Ltd.
2021
|
| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8017556/ https://ncbi.nlm.nih.gov/pubmed/33824550 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chaos.2021.110922 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|