An effective detection model based on YOLO for pore defects in additive manufacturing
Crossref DOI link: https://doi.org/10.1038/s41598-026-43970-2
Published Online: 2026-03-21
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ni, Rui
Xu, Siwen
Chen, Hanning
He, Maowei
Ge, Zhaodi
Liang, Xiaodan
Text and Data Mining valid from 2026-03-21
Accepted Manuscript valid from 2026-03-21
Article History
Received: 7 November 2025
Accepted: 9 March 2026
First Online: 21 March 2026
Declarations
:
: The authors declare no competing interests.