Spatio-Temporal Capsule Networks for Weakly Supervised Surveillance Video Anomaly Detection.
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| Title: | Spatio-Temporal Capsule Networks for Weakly Supervised Surveillance Video Anomaly Detection. |
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| Authors: | Almurumudhe, Mohammed Iqbal Dohan1, mohammed.iqbal.dohan.almurumudhe@student.uni-miskolc.hu, Hornyák, Olivér1 |
| Source: | Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2567, 18p |
| 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: 192636345 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Spatio-Temporal Capsule Networks for Weakly Supervised Surveillance Video Anomaly Detection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Almurumudhe%2C+Mohammed+Iqbal+Dohan%22">Almurumudhe, Mohammed Iqbal Dohan</searchLink><relatesTo>1</relatesTo>, <i>mohammed.iqbal.dohan.almurumudhe@student.uni-miskolc.hu</i><br /><searchLink fieldCode="AU" term="%22Hornyák%2C+Olivér%22">Hornyák, Olivér</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Mar2026, Vol. 16 Issue 5, p2567, 18p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192636345 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16052567 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 2567 Titles: – TitleFull: Spatio-Temporal Capsule Networks for Weakly Supervised Surveillance Video Anomaly Detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Almurumudhe, Mohammed Iqbal Dohan – PersonEntity: Name: NameFull: Hornyák, Olivér IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 5 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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