Automated Defect Recognition of Castings Defects Using Neural Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
https://link.springer.com/content/pdf/10.1007/s10921-021-00842-1.pdf
Reference34 articles.
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3. Matzkanin, G.A., Yolken, H.T.: Probability of Detection (POD) for Nondestructive Evaluation (NDE):. Tech. rep., Defense Technical Information Center, Fort Belvoir, VA (2001). https://doi.org/10.21236/ADA398282
4. Zhao, Z.Q., Zheng, P., Xu, S.t., Wu, X.: Object detection with deep learning: a review. arXiv:1807.05511 [cs] (2019)
5. Mery, D.: Aluminum casting inspection using deep object detection methods and simulated ellipsoidal Defects. Mach. Vis. Appl. (2021). https://doi.org/10.1007/s00138-021-01195-5
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