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Authors
Huang, Lin
Yuan, Heping
Chen, Shuixuan
Zhou, Bo
Guo, Yihuang
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Funding
Funding for this research was provided by:
Fujian Provincial Department of Science and Technology university joint innovation project (2021H6010)
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Article History
Received: 23 May 2024
Accepted: 25 November 2024
First Online: 10 December 2024
Declarations
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: The authors declare that there is no Conflict of interest regarding the publication of this research paper entitled "A Lightweight Deep Learning Model for Real-Time Rectangle NdFeB Surface Defect Detection with High Accuracy on a Global Scale". We certify that no financial support or relationships with any organizations or individuals that could potentially bias the interpretation of the research findings or affect the objectivity and integrity of this work were involved. The authors further declare that they have no financial interests, commercial affiliations or patent holdings that are directly or indirectly related to the subject matter of this study.
: This research was conducted in an unbiased and ethical manner, adhering to the highest standards of scientific integrity and research ethics.
: Written consent for the publication of identifiable data, images, or other personal or confidential information that may compromise the privacy or anonymity of the participants was obtained from all participants and/or their legal guardians.
