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Few-shot working condition classification within a meta-learning framework based on multi-head attention autoencoder

Published Online: 2025-07-01

Authors

Zhang, Jie

Chang, Yuqing https://orcid.org/0000-0003-2010-0896
Wang, Fuli
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (62273078)

State Key Laboratory of Intelligent Optimized Manufacturing in Mining & Metallurgy Process (BGRIMM-KZSKL-2023-4)
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Text and Data Mining valid from 2025-07-01

Version of Record valid from 2025-07-01
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Article History

Received: 10 February 2025

Accepted: 22 April 2025

First Online: 1 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.

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