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Quantitative Analysis of Metallographic Image Using Attention-Aware Deep Neural Networks
As a detection tool to identify metal or alloy, metallographic quantitative analysis has received increasing attention for its ability to evaluate quality control and reveal mechanical properties. The detection procedure is mainly operated manually to locate and characterize the constitution in meta...
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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7796035/ https://ncbi.nlm.nih.gov/pubmed/33374842 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21010043 |
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