Additive Manufacturing: Stringing and Warping Detection Using MobileNet-SSD
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0169-8_3
Reference17 articles.
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3. Park, S.-H., Lee, K.-H., Park, J.-S., Shin, Y.-S.: Deep learning-based defect detection for sustainable smart manufacturing. Sustainability 14(5), 2697 (2022). https://doi.org/10.3390/su14052697
4. Farhan Khan, M., et al.: Real-time defect detection in 3D printing using machine learning. Mater. Today Proc. 42, 521–528 (2021). https://doi.org/10.1016/j.matpr.2020.10.482
5. Paraskevoudis, K., Karayannis, P., Koumoulos, E.P.: Real-time 3D printing remote defect detection (stringing) with computer vision and artificial intelligence. Processes 8(11), 1–15 (2020). https://doi.org/10.3390/pr8111464
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