APA (7th ed.) Citation

Safdar, M., Wood, G., Zimmermann, M., Lamouche, G., Wanjara, P., & Zhao, Y. F. Detecting the extent of co-existing anomalies in additively manufactured metal matrix composites through explainable selection and fusion of multi-camera deep learning features. Taylor & Francis Group.

Chicago Style (17th ed.) Citation

Safdar, Mutahar, Gentry Wood, Max Zimmermann, Guy Lamouche, Priti Wanjara, and Yaoyao Fiona Zhao. Detecting the Extent of Co-existing Anomalies in Additively Manufactured Metal Matrix Composites Through Explainable Selection and Fusion of Multi-camera Deep Learning Features. Taylor & Francis Group.

MLA (9th ed.) Citation

Safdar, Mutahar, et al. Detecting the Extent of Co-existing Anomalies in Additively Manufactured Metal Matrix Composites Through Explainable Selection and Fusion of Multi-camera Deep Learning Features. Taylor & Francis Group.