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Detection of Flaws in Concrete Using Ultrasonic Tomography and Convolutional Neural Networks
Non-destructive testing of concrete for defects detection, using acoustic techniques, is currently performed mainly by human inspection of recorded images. The images consist of the inside of the examined elements obtained from testing devices such as the ultrasonic tomograph. However, such an autom...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7177575/ https://www.ncbi.nlm.nih.gov/pubmed/32230967 http://dx.doi.org/10.3390/ma13071557 |