Parallel kernel deep learning model for damage quantification in laminated composites.
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| Title: | Parallel kernel deep learning model for damage quantification in laminated composites. |
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| Authors: | Yazdani, Muhammad Haris1, Azad, Muhammad Muzammil1, Kim, Heung Soo1, heungsoo@dgu.edu |
| Source: | Advances in Engineering Software (1992); Jul2026, Vol. 218, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 193591465 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=193591465 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.advengsoft.2026.104168 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Titles: – TitleFull: Parallel kernel deep learning model for damage quantification in laminated composites. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yazdani, Muhammad Haris – PersonEntity: Name: NameFull: Azad, Muhammad Muzammil – PersonEntity: Name: NameFull: Kim, Heung Soo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09659978 Numbering: – Type: volume Value: 218 Titles: – TitleFull: Advances in Engineering Software (1992) Type: main |
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