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Defect identification of metal additive manufacturing parts based on laser-induced breakdown spectroscopy and machine learning
Defect identification of metal additive manufacturing parts based on laser-induced breakdown spectroscopy and machine learning
Summary
Defect identification of metal additive manufacturing parts based on laser-induced breakdown spectroscopy and machine learning is a scholarly article[1].
Key Facts
Defect identification of metal additive manufacturing parts based on laser-induced breakdown spectroscopy and machine learning's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Defect identification of metal additive manufacturing parts based on laser-induced breakdown spectroscopy and machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/defect-identification-of-metal-additive-manufacturing-parts-based-on-laser-induced-breakdown-spectroscopy-and-machine-le
MLA“Defect identification of metal additive manufacturing parts based on laser-induced breakdown spectroscopy and machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/defect-identification-of-metal-additive-manufacturing-parts-based-on-laser-induced-breakdown-spectroscopy-and-machine-le.
BibTeX@misc{4ortxyz_defect-identification-of-metal-additive-manufacturing-parts-based-on-laser-induced-breakdown-spectroscopy-and-machine-le_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Defect identification of metal additive manufacturing parts based on laser-induced breakdown spectroscopy and machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/defect-identification-of-metal-additive-manufacturing-parts-based-on-laser-induced-breakdown-spectroscopy-and-machine-le}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Defect identification of metal additive manufacturing parts based on laser-induced breakdown spectroscopy and machine learning — https://4ort.xyz/entity/defect-identification-of-metal-additive-manufacturing-parts-based-on-laser-induced-breakdown-spectroscopy-and-machine-le (retrieved 2026-05-24)
