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A deep semi-supervised echo state network-based distributed operating performance assessment framework for manufacturing processes optimized by enhanced black-winged kite algorithm

Crossref DOI link: https://doi.org/10.1007/s10489-025-06734-5

Published Online: 2025-07-02

Published Print: 2025-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhang, Chuanfang https://orcid.org/0000-0002-4058-6566
Yin, Wenxiao

Peng, Kaixiang

Zhang, Xueyi
Funding

Funding for this research was provided by:

National Key R&D Program of China (No.2021YFB3301201)

National Natural Science Foundation of China (U21A20483, 62303041)

Fundamental Research Funds for the China Central Universities of USTB (FRF-TP-22-142A1, FRF-IDRY-22-002)
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Text and Data Mining valid from 2025-07-02

Version of Record valid from 2025-07-02
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Article History

Accepted: 17 June 2025

First Online: 2 July 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

: The authors are aware of ethical and informed consent for data used.

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