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A Deep Learning Based Printing Defect Classification Method with Imbalanced Samples

Research article (Symmetry, 2019) · cited 21× · AI/ML
academia openalex:W2991122450
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A Deep Learning Based Printing Defect Classification Method with Imbalanced Samples

Summary

A Deep Learning Based Printing Defect Classification Method with Imbalanced Samples is a scholarly article[1].

Key Facts

  • A Deep Learning Based Printing Defect Classification Method with Imbalanced Samples's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A Deep Learning Based Printing Defect Classification Method with Imbalanced Samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-based-printing-defect-classification-method-with-imbalanced-samples
MLA “A Deep Learning Based Printing Defect Classification Method with Imbalanced Samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-based-printing-defect-classification-method-with-imbalanced-samples.
BibTeX @misc{4ortxyz_a-deep-learning-based-printing-defect-classification-method-with-imbalanced-samples_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep Learning Based Printing Defect Classification Method with Imbalanced Samples}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-based-printing-defect-classification-method-with-imbalanced-samples}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep Learning Based Printing Defect Classification Method with Imbalanced Samples — https://4ort.xyz/entity/a-deep-learning-based-printing-defect-classification-method-with-imbalanced-samples (retrieved 2026-05-24)

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