Visualization of internal defects using a deep generative neural network model and ultrasonic nondestructive testing
Introduction. The development of machine learning methods has given a new impulse to solving inverse problems in mechanics. Many studies show that along with well-behaved techniques of ultrasonic, magnetic, and thermal nondestructive testing, the latest methods are used, including those based on neu...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Russo |
| Publicado em: |
Don State Technical University
2021-09-01
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| coleção: | Advanced Engineering Research |
| Assuntos: | |
| Acesso em linha: | https://www.vestnik-donstu.ru/jour/article/view/1774 |
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