Automatic Fault Detection and Prediction of AGV Magnetic Track Using Machine Learning and Computer Vision.
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| Title: | Automatic Fault Detection and Prediction of AGV Magnetic Track Using Machine Learning and Computer Vision. |
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| Authors: | Botomba, Jules Bekoka1, 441837@student.eit.edu.au, Rahman, Akhlaqur2, Lai, Daniel T. H.3, Sharma, Vishal1,2 |
| Source: | Journal of Sensor & Actuator Networks; Jun2026, Vol. 15 Issue 3, p43, 25p |
| 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: 194910497 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=194910497 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/jsan15030043 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 43 Titles: – TitleFull: Automatic Fault Detection and Prediction of AGV Magnetic Track Using Machine Learning and Computer Vision. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Botomba, Jules Bekoka – PersonEntity: Name: NameFull: Rahman, Akhlaqur – PersonEntity: Name: NameFull: Lai, Daniel T. H. – PersonEntity: Name: NameFull: Sharma, Vishal IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22242708 Numbering: – Type: volume Value: 15 – Type: issue Value: 3 Titles: – TitleFull: Journal of Sensor & Actuator Networks Type: main |
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