An energy auditing system based on learnable positional embedding and edge computing for in-situ monitoring of 3D printing processes
Crossref DOI link: https://doi.org/10.1007/s00170-025-16098-2
Published Online: 2025-07-18
Published Print: 2025-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Song, Ge
Ou, Junlin
Cao, Yichuan
Wang, Yi https://orcid.org/0000-0002-5750-3181
Funding for this research was provided by:
University of South Carolina
Text and Data Mining valid from 2025-07-18
Version of Record valid from 2025-07-18
Article History
Received: 16 September 2024
Accepted: 8 July 2025
First Online: 18 July 2025
Declarations
:
: The authors declare no competing interests.