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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...
Uloženo v:
| Vydáno v: | Sensors (Basel) |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2015
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| Témata: | |
| On-line přístup: | 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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