Solid Surfaces, Defects and Detection
This reprint aims to immerse the reader in the latest surface defect detection methods of industrial automation. From distribution-preserving under-sampling to semi-supervised inspection, with the use of swin transformer techniques, we aim to elucidate the application potential of these advanced tec...
محفوظ في:
| التنسيق: | Online |
|---|---|
| اللغة: | الإنجليزية |
| منشور في: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20250812T110751_9783725834693_30 |
| الوسوم: |
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| _version_ | 1869517153981431808 |
|---|---|
| collection | Directory of Open Access Books |
| description | This reprint aims to immerse the reader in the latest surface defect detection methods of industrial automation. From distribution-preserving under-sampling to semi-supervised inspection, with the use of swin transformer techniques, we aim to elucidate the application potential of these advanced technologies. In this reprint, research experts in the field will publish their results and prospects for the future. These research results will not only improve detection accuracy but also greatly accelerate detection speed, enhancing the process of industrial automation. We will provide more advanced and accurate detection technology for product quality inspection so that artificial intelligence technology can be integrated into and further developed in the industrial field. |
| format | Online |
| id | doab-20.500.12854ir-165274 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1652742025-08-12T09:16:25Z Solid Surfaces, Defects and Detection Song, Kechen coatings for solid surfaces vision detection for surface defects defect classification artificial intelligence of vision detection non-destructive testing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This reprint aims to immerse the reader in the latest surface defect detection methods of industrial automation. From distribution-preserving under-sampling to semi-supervised inspection, with the use of swin transformer techniques, we aim to elucidate the application potential of these advanced technologies. In this reprint, research experts in the field will publish their results and prospects for the future. These research results will not only improve detection accuracy but also greatly accelerate detection speed, enhancing the process of industrial automation. We will provide more advanced and accurate detection technology for product quality inspection so that artificial intelligence technology can be integrated into and further developed in the industrial field. 2025-08-12T09:16:21Z 2025-08-12T09:16:21Z 2025 book ONIX_20250812T110751_9783725834693_30 9783725834693 9783725834709 https://directory.doabooks.org/handle/20.500.12854/165274 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10697 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3470-9 10.3390/books978-3-7258-3470-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725834693 9783725834709 178 open access |
| spellingShingle | coatings for solid surfaces vision detection for surface defects defect classification artificial intelligence of vision detection non-destructive testing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Solid Surfaces, Defects and Detection |
| title | Solid Surfaces, Defects and Detection |
| title_full | Solid Surfaces, Defects and Detection |
| title_fullStr | Solid Surfaces, Defects and Detection |
| title_full_unstemmed | Solid Surfaces, Defects and Detection |
| title_short | Solid Surfaces, Defects and Detection |
| title_sort | solid surfaces defects and detection |
| topic | coatings for solid surfaces vision detection for surface defects defect classification artificial intelligence of vision detection non-destructive testing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | coatings for solid surfaces vision detection for surface defects defect classification artificial intelligence of vision detection non-destructive testing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20250812T110751_9783725834693_30 |