Tool wear prediction based on xLSTM combined with the ECA attention mechanism model
Crossref DOI link: https://doi.org/10.1007/s12206-024-1211-9
Published Online: 2025-01-31
Published Print: 2025-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Tian, Jiawen
Wang, Shuqiang
Text and Data Mining valid from 2025-01-31
Version of Record valid from 2025-01-31
Article History
Received: 1 August 2024
Revised: 23 August 2024
Accepted: 31 August 2024
First Online: 31 January 2025
Conflict of interest
: All authors have declared no relevant relationships.