Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions: Deep crowd anomaly detection: state-of-the-art, challenges,...: M. H. Sharif et al.
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| Title: | Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions: Deep crowd anomaly detection: state-of-the-art, challenges,...: M. H. Sharif et al. |
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| Authors: | Sharif, Md. Haidar1,2, msharif@smcm.edu, Jiao, Lei2, lei.jiao@uia.no, Omlin, Christian W.2, christian.omlin@uia.no |
| Source: | Artificial Intelligence Review; May2025, Vol. 58 Issue 5, p1-111, 111p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 183227063 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-024-11092-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 111 StartPage: 1 Titles: – TitleFull: Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions: Deep crowd anomaly detection: state-of-the-art, challenges,...: M. H. Sharif et al. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sharif, Md. Haidar – PersonEntity: Name: NameFull: Jiao, Lei – PersonEntity: Name: NameFull: Omlin, Christian W. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 58 – Type: issue Value: 5 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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