A Hybrid Deep Learning Framework Based on Diffusion Model and Deep Residual Neural Network for Defect Detection in Composite Plates.
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| Title: | A Hybrid Deep Learning Framework Based on Diffusion Model and Deep Residual Neural Network for Defect Detection in Composite Plates. |
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| Authors: | Huang, Tianrui1, Gao, Yang1, yanggao@ecust.edu.cn, Li, Zhenglin1, Hu, Yue1, yanggao@ecust.edu.cn, Xuan, Fuzhen1 |
| Source: | Applied Sciences (2076-3417); May2023, Vol. 13 Issue 10, p5843, 19p |
| 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: 163952434 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app13105843 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 5843 Titles: – TitleFull: A Hybrid Deep Learning Framework Based on Diffusion Model and Deep Residual Neural Network for Defect Detection in Composite Plates. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huang, Tianrui – PersonEntity: Name: NameFull: Gao, Yang – PersonEntity: Name: NameFull: Li, Zhenglin – PersonEntity: Name: NameFull: Hu, Yue – PersonEntity: Name: NameFull: Xuan, Fuzhen IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 13 – Type: issue Value: 10 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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