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Multi-source domain adversarial graph convolutional networks for rolling mill health states diagnosis under variable working conditions
Research article (Structural Health Monitoring, 2024) · cited 14× · AI/ML
Multi-source domain adversarial graph convolutional networks for rolling mill health states diagnosis under variable working conditions
Summary
Multi-source domain adversarial graph convolutional networks for rolling mill health states diagnosis under variable working conditions is a scholarly article[1].
Key Facts
Multi-source domain adversarial graph convolutional networks for rolling mill health states diagnosis under variable working conditions'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). Multi-source domain adversarial graph convolutional networks for rolling mill health states diagnosis under variable working conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-source-domain-adversarial-graph-convolutional-networks-for-rolling-mill-health-states-diagnosis-under-variable-wor
MLA“Multi-source domain adversarial graph convolutional networks for rolling mill health states diagnosis under variable working conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-source-domain-adversarial-graph-convolutional-networks-for-rolling-mill-health-states-diagnosis-under-variable-wor.
BibTeX@misc{4ortxyz_multi-source-domain-adversarial-graph-convolutional-networks-for-rolling-mill-health-states-diagnosis-under-variable-wor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-source domain adversarial graph convolutional networks for rolling mill health states diagnosis under variable working conditions}}, year = {2026}, url = {https://4ort.xyz/entity/multi-source-domain-adversarial-graph-convolutional-networks-for-rolling-mill-health-states-diagnosis-under-variable-wor}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-source domain adversarial graph convolutional networks for rolling mill health states diagnosis under variable working conditions — https://4ort.xyz/entity/multi-source-domain-adversarial-graph-convolutional-networks-for-rolling-mill-health-states-diagnosis-under-variable-wor (retrieved 2026-05-24)
