Research on detection algorithm of lithium battery surface defects based on embedded machine vision

Research article (Journal of Intelligent & Fuzzy Systems, 2021) · cited 20× · AI/ML
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Research on detection algorithm of lithium battery surface defects based on embedded machine vision

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Research on detection algorithm of lithium battery surface defects based on embedded machine vision is a scholarly article[1].

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  • Research on detection algorithm of lithium battery surface defects based on embedded machine vision's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Research on detection algorithm of lithium battery surface defects based on embedded machine vision. Retrieved May 24, 2026, from https://4ort.xyz/entity/research-on-detection-algorithm-of-lithium-battery-surface-defects-based-on-embedded-machine-vision
MLA “Research on detection algorithm of lithium battery surface defects based on embedded machine vision.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/research-on-detection-algorithm-of-lithium-battery-surface-defects-based-on-embedded-machine-vision.
BibTeX @misc{4ortxyz_research-on-detection-algorithm-of-lithium-battery-surface-defects-based-on-embedded-machine-vision_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Research on detection algorithm of lithium battery surface defects based on embedded machine vision}}, year = {2026}, url = {https://4ort.xyz/entity/research-on-detection-algorithm-of-lithium-battery-surface-defects-based-on-embedded-machine-vision}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Research on detection algorithm of lithium battery surface defects based on embedded machine vision — https://4ort.xyz/entity/research-on-detection-algorithm-of-lithium-battery-surface-defects-based-on-embedded-machine-vision (retrieved 2026-05-24)

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