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Open Access

Peer-reviewed

Research Article

Optimization of running-in surface morphology parameters based on the AutoML model

Guangyuan Ge,

Roles Data curation, Software, Validation, Visualization, Writing – original draft

Affiliation School of Electronics and Information, Yangtze University, Jingzhou, Hubei, China
⨯
Fenfen Liu,

Roles Formal analysis, Investigation, Methodology, Writing – original draft

Affiliation School of Computer Science, Yangtze University, Jingzhou, Hubei, China
⨯
Gengpei Zhang

Roles Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing

* E-mail: judgebill@126.com

Affiliation School of Electronics and Information, Yangtze University, Jingzhou, Hubei, China

https://orcid.org/0000-0002-6175-4100

⨯

Optimization of running-in surface morphology parameters based on the AutoML model

Guangyuan Ge,
Fenfen Liu,
Gengpei Zhang

x

Published: October 4, 2021
https://doi.org/10.1371/journal.pone.0257850

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