An evaluation of the capabilities of image-based metal component defect recognition with deep learning techniques.

MLA

Wójcik, Michał P., et al. “An Evaluation of the Capabilities of Image-Based Metal Component Defect Recognition with Deep Learning Techniques.” Computer Methods in Materials Science, vol. 24, no. 3, July 2024, pp. 33–39. EBSCOhost, https://doi.org/10.7494/cmms.2024.3.0839.

APA

Wójcik, M. P., Pawlikowski, K., & Madej, Ł. (2024). An evaluation of the capabilities of image-based metal component defect recognition with deep learning techniques. Computer Methods in Materials Science, 24(3), 33–39. https://doi.org/10.7494/cmms.2024.3.0839

Chicago

Wójcik, Michał P., Kacper Pawlikowski, and Łukasz Madej. 2024. “An Evaluation of the Capabilities of Image-Based Metal Component Defect Recognition with Deep Learning Techniques.” Computer Methods in Materials Science 24 (3): 33–39. doi:10.7494/cmms.2024.3.0839.