Challenges and opportunities in traffic flow prediction: review of machine learning and deep learning perspectives.
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| Title: | Challenges and opportunities in traffic flow prediction: review of machine learning and deep learning perspectives. |
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| Alternate Title: | Desafíos y oportunidades en la predicción del flujo de tráfico: revisión de las perspectivas de aprendizaje automático y aprendizaje profundo. |
| Authors: | Uddin Gilani, Syed Aleem1, Al-Rajab, Murad1, Bakka, Mahmoud1 |
| Source: | Data & Metadata. 2024, Vol. 3, p1-24. 24p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 181529785 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=asn&AN=181529785 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.56294/dm2024378 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 1 Titles: – TitleFull: Challenges and opportunities in traffic flow prediction: review of machine learning and deep learning perspectives. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Uddin Gilani, Syed Aleem – PersonEntity: Name: NameFull: Al-Rajab, Murad – PersonEntity: Name: NameFull: Bakka, Mahmoud IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 29534917 Numbering: – Type: volume Value: 3 Titles: – TitleFull: Data & Metadata Type: main |
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