Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19-Reference-Cited by-同舟云学术

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Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19

Published:2021-10 Issue: Volume:110 Page:107611
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Kumar Naresh^ORCID,Susan Seba

Publisher

Elsevier BV

Subject

Software

Reference41 articles.

1. World health organization declares global emergency: A review of the 2019 novel coronavirus (covid-19);Sohrabi;Int. J. Surg.,2020

2. Evaluating the plausible application of advanced machine learnings in exploring determinant factors of present pandemic: A case for continent specific covid-19 analysis;Chakraborti;Sci. Total Environ.,2021

3. A spatio-temporal analysis for exploring the effect of temperature on covid-19 early evolution in spain;Briz-Redón;Sci. Total Environ.,2020

4. Gis-based spatial modeling of covid-19 incidence rate in the continental united states;Mollalo;Sci. Total Environ.,2020

5. Containment measures limit environmental effects on covid-19 early outbreak dynamics;Ficetola;Sci. Total Environ.,2021

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