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                                       Details for article 5 of 51 found articles
 
 
  A novel flaw detection approach in carbon steel pipes through ultrasonic guided waves and optimized transformer neural networks
 
 
Title: A novel flaw detection approach in carbon steel pipes through ultrasonic guided waves and optimized transformer neural networks
Author: Flores Cuenca, Manuel Fernando
Malikov, Azamatjon Kakhramon ugli
Kim, Jeongnam
Cho, Younho
Jeong, Kyoung-sik
Appeared in: Journal of mechanical science and technology
Paging: Volume 38 () nr. 7 pages 3253-3263
Year: 2024-07-04
Contents:
Publisher: Korean Society of Mechanical Engineers, Seoul
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 5 of 51 found articles
 
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