An Efficient and Intelligent Detection Method for Fabric Defects based on Improved YOLOv5.
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| Title: | An Efficient and Intelligent Detection Method for Fabric Defects based on Improved YOLOv5. |
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| Authors: | Lin, Guijuan1 (AUTHOR) forestlgj@126.com, Liu, Keyu1 (AUTHOR), Xia, Xuke2 (AUTHOR), Yan, Ruopeng1 (AUTHOR) |
| Source: | Sensors (14248220). Jan2023, Vol. 23 Issue 1, p97. 16p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Items | – Name: Title Label: Title Group: Ti Data: An Efficient and Intelligent Detection Method for Fabric Defects based on Improved YOLOv5. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lin%2C+Guijuan%22">Lin, Guijuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> forestlgj@126.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Keyu%22">Liu, Keyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xia%2C+Xuke%22">Xia, Xuke</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Ruopeng%22">Yan, Ruopeng</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jan2023, Vol. 23 Issue 1, p97. 16p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=161185808 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/s23010097 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 97 Titles: – TitleFull: An Efficient and Intelligent Detection Method for Fabric Defects based on Improved YOLOv5. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lin, Guijuan – PersonEntity: Name: NameFull: Liu, Keyu – PersonEntity: Name: NameFull: Xia, Xuke – PersonEntity: Name: NameFull: Yan, Ruopeng IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 14248220 Numbering: – Type: volume Value: 23 – Type: issue Value: 1 Titles: – TitleFull: Sensors (14248220) Type: main |
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