A Comprehensive Review of Deep Learning-Based Crack Detection Approaches.
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| Title: | A Comprehensive Review of Deep Learning-Based Crack Detection Approaches. |
|---|---|
| Authors: | Hamishebahar, Younes1, j.jo@griffith.edu.auyounes.hamishebahar@griffithuni.edu.au, Guan, Hong2, s.so@griffith.edu.auyounes.hamishebahar@griffithuni.edu.au, So, Stephen2, Jo, Jun1 |
| Source: | Applied Sciences (2076-3417); Feb2022, Vol. 12 Issue 3, p1374, 24p |
| 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: 155242210 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=155242210 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app12031374 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 1374 Titles: – TitleFull: A Comprehensive Review of Deep Learning-Based Crack Detection Approaches. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hamishebahar, Younes – PersonEntity: Name: NameFull: Guan, Hong – PersonEntity: Name: NameFull: So, Stephen – PersonEntity: Name: NameFull: Jo, Jun IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 12 – Type: issue Value: 3 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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