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Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Sa...

Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Sa...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c7f6a65636f94323a949112b7902c9a4

Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia

About this item

Full title

Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia

Publisher

Hoboken: Hindawi

Journal title

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

Language

English

Formats

Publication information

Publisher

Hoboken: Hindawi

More information

Scope and Contents

Contents

The novel coronavirus disease (COVID-19) is regarded as one of the most imminent disease outbreaks which threaten public health on various levels worldwide. Because of the unpredictable outbreak nature and the virus’s pandemic intensity, people are experiencing depression, anxiety, and other strain reactions. The response to prevent and control the...

Alternative Titles

Full title

Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c7f6a65636f94323a949112b7902c9a4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c7f6a65636f94323a949112b7902c9a4

Other Identifiers

ISSN

1076-2787

E-ISSN

1099-0526

DOI

10.1155/2021/6686745

How to access this item