Automated Segmentation of Manufacturing Defects in 3D ‐Printed Composite Materials Using an Optimized Deep Learning Approach
Year: 2026
Type: article
Source: Polymer Composites
DOI: 10.1002/pc.71289
Institution: Beihang University
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W7171559972
