Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia.
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| Title: | Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia. |
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| Authors: | Omran, Nahla F.1, Abd-el Ghany, Sara F.2, Saleh, Hager3, Ali, Abdelmgeid A.4, Gumaei, Abdu5,6, Al-Rakhami, Mabrook5 |
| Source: | Complexity; 3/4/2021, p1-13, 13p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 149335024 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=149335024 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2021/6686745 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Titles: – TitleFull: Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Omran, Nahla F. – PersonEntity: Name: NameFull: Abd-el Ghany, Sara F. – PersonEntity: Name: NameFull: Saleh, Hager – PersonEntity: Name: NameFull: Ali, Abdelmgeid A. – PersonEntity: Name: NameFull: Gumaei, Abdu – PersonEntity: Name: NameFull: Al-Rakhami, Mabrook IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 03 Text: 3/4/2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 10762787 Titles: – TitleFull: Complexity Type: main |
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