Application of Convolutional Neural Networks for Recognizing Long Structural Elements of Rails in Eddy-Current Defectograms
To ensure traffic safety of railway transport, non-destructive test of rails is regularly carried out by using various approaches and methods, including eddy-current flaw detection methods. An automatic analysis of large data sets (defectograms) that come from the corresponding equipment is an actua...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Yaroslavl State University
2020-09-01
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| Серія: | Моделирование и анализ информационных систем |
| Предмети: | |
| Онлайн доступ: | https://www.mais-journal.ru/jour/article/view/1351 |
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