A systematic review and comparative analysis of deep learning models for Twitter/X-based traffic event detection.
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| Title: | A systematic review and comparative analysis of deep learning models for Twitter/X-based traffic event detection. |
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| Authors: | Qutaishat, Danya1 (AUTHOR), Li, Songnian1 (AUTHOR) snli@torontomu.ca |
| Source: | International Journal of Digital Earth. 2026, Vol. 19 Issue 1, p1-28. 28p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 195177492 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A systematic review and comparative analysis of deep learning models for Twitter/X-based traffic event detection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Qutaishat%2C+Danya%22">Qutaishat, Danya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Songnian%22">Li, Songnian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> snli@torontomu.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Digital+Earth%22">International Journal of Digital Earth</searchLink>. 2026, Vol. 19 Issue 1, p1-28. 28p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195177492 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/17538947.2025.2604977 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 1 Titles: – TitleFull: A systematic review and comparative analysis of deep learning models for Twitter/X-based traffic event detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Qutaishat, Danya – PersonEntity: Name: NameFull: Li, Songnian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 17538947 Numbering: – Type: volume Value: 19 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Digital Earth Type: main |
| ResultId | 1 |