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Semi-Supervised Bayesian Classification of Materials with Impact-Echo Signals
The detection and identification of internal defects in a material require the use of some technology that translates the hidden interior damages into observable signals with different signature-defect correspondences. We apply impact-echo techniques for this purpose. The materials are classified ac...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4481956/ https://ncbi.nlm.nih.gov/pubmed/25996512 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s150511528 |
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