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OCC-DEIM: Simultaneous optimization of detection accuracy and computational efficiency for embedded steel defect inspection systems | Synapse
March 3, 2026
OCC-DEIM: Simultaneous optimization of detection accuracy and computational efficiency for embedded steel defect inspection systems
MG
Min Gao
Institute of Agro-Products Processing Science and Technology
XK
Xiaoping Kang
KZ
Kun Zhou
Songshan Lake Materials Laboratory
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Key Points
Detection accuracy improves significantly for steel defects with optimized algorithms.
A 25% increase in detection accuracy across embedded systems showcases the method's effectiveness.
Method employs a novel optimization algorithm tailored for defect inspection in steel manufacturing.
Findings may enable the development of advanced embedded inspection systems, ensuring higher reliability.
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Cite This Study
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Gao et al. (Sun,) studied this question.
synapsesocial.com/papers/69a76579badf0bb9e87d93c7
https://doi.org/https://doi.org/10.1016/j.measurement.2026.120671