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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481956/ https://www.ncbi.nlm.nih.gov/pubmed/25996512 http://dx.doi.org/10.3390/s150511528 |