Detecting the extent of co-existing anomalies in additively manufactured metal matrix composites through explainable selection and fusion of multi-camera deep learning features.
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| Title: | Detecting the extent of co-existing anomalies in additively manufactured metal matrix composites through explainable selection and fusion of multi-camera deep learning features. |
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| Authors: | Safdar, Mutahar1,2, Wood, Gentry3, Zimmermann, Max4, Lamouche, Guy2, Wanjara, Priti2, Zhao, Yaoyao Fiona1, yaoyao.zhao@mcgill.ca |
| Source: | Virtual & Physical Prototyping; Dec2025, Vol. 20 Issue 1, p1-39, 39p |
| Database: | Applied Science & Technology Source |
| ISSN: | 17452759 |
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| DOI: | 10.1080/17452759.2025.2515240 |
