Efficient quantifying track structure cracks using deep learning.
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| Title: | Efficient quantifying track structure cracks using deep learning. |
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| Authors: | Sun, Hongshuo1, Song, Li1,2,3, LSCSUEDU@163.com, Yu, Zhiwu1,2 |
| Source: | Computer-Aided Civil & Infrastructure Engineering; 8/5/2025, Vol. 40 Issue 19, p2969-2986, 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: 187573937 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Efficient quantifying track structure cracks using deep learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Sun%2C+Hongshuo%22">Sun, Hongshuo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Song%2C+Li%22">Song, Li</searchLink><relatesTo>1,2,3</relatesTo>, <i>LSCSUEDU@163.com</i><br /><searchLink fieldCode="AU" term="%22Yu%2C+Zhiwu%22">Yu, Zhiwu</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer-Aided+Civil+%26+Infrastructure+Engineering%22">Computer-Aided Civil & Infrastructure Engineering</searchLink>; 8/5/2025, Vol. 40 Issue 19, p2969-2986, 18p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187573937 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/mice.13477 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 2969 Titles: – TitleFull: Efficient quantifying track structure cracks using deep learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sun, Hongshuo – PersonEntity: Name: NameFull: Song, Li – PersonEntity: Name: NameFull: Yu, Zhiwu IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 08 Text: 8/5/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10939687 Numbering: – Type: volume Value: 40 – Type: issue Value: 19 Titles: – TitleFull: Computer-Aided Civil & Infrastructure Engineering Type: main |
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