An active visual monitoring method for GMAW weld surface defects based on random forest model

Research article (Materials Research Express, 2022) · cited 22× · AI/ML
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An active visual monitoring method for GMAW weld surface defects based on random forest model

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An active visual monitoring method for GMAW weld surface defects based on random forest model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An active visual monitoring method for GMAW weld surface defects based on random forest model. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-active-visual-monitoring-method-for-gmaw-weld-surface-defects-based-on-random-forest-model
MLA “An active visual monitoring method for GMAW weld surface defects based on random forest model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-active-visual-monitoring-method-for-gmaw-weld-surface-defects-based-on-random-forest-model.
BibTeX @misc{4ortxyz_an-active-visual-monitoring-method-for-gmaw-weld-surface-defects-based-on-random-forest-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An active visual monitoring method for GMAW weld surface defects based on random forest model}}, year = {2026}, url = {https://4ort.xyz/entity/an-active-visual-monitoring-method-for-gmaw-weld-surface-defects-based-on-random-forest-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An active visual monitoring method for GMAW weld surface defects based on random forest model — https://4ort.xyz/entity/an-active-visual-monitoring-method-for-gmaw-weld-surface-defects-based-on-random-forest-model (retrieved 2026-05-24)

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