Advancing AI-driven Product Defect Detection in Engineering Management: from Fine-Grained Defect Information Extraction to Decision Support and Structured Knowledge Management

Li, Zhongyun

DOI: 10.17638/03195253
Published: 2031
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Publisher: University of Liverpool Repository
Open access: no

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Cite this work

BibTeX

@article{allodium:10.17638/03195253,
  title = {Advancing AI-driven Product Defect Detection in Engineering Management: from Fine-Grained Defect Information Extraction to Decision Support and Structured Knowledge Management},
  author = {Li, Zhongyun},
  year = {2031},
  doi = {10.17638/03195253},
  url = {https://doi.org/10.17638/03195253}
}

RIS

TY  - JOUR
TI  - Advancing AI-driven Product Defect Detection in Engineering Management: from Fine-Grained Defect Information Extraction to Decision Support and Structured Knowledge Management
AU  - Li, Zhongyun
PY  - 2031
DO  - 10.17638/03195253
UR  - https://doi.org/10.17638/03195253
ER  -

APA

Zhongyun, L. (2031). Advancing AI-driven Product Defect Detection in Engineering Management: from Fine-Grained Defect Information Extraction to Decision Support and Structured Knowledge Management. https://doi.org/10.17638/03195253

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datacite · retrieved 2026-11-10T07:02:35.041Z