FAECCD-CNet: Fast Automotive Engine Components Crack Detection and Classification Using ConvNet on Images
Crack inspections of automotive engine components are usually conducted manually; this is often tedious, with a high degree of subjectivity and cost. Therefore, establishing a robust and efficient method will improve the accuracy and minimize the subjectivity of the inspection. This paper presents a...
| المؤلفون الرئيسيون: | , , , , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
MDPI AG
2022-09-01
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| سلاسل: | Applied Sciences |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2076-3417/12/19/9713 |