Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced data
Summary
Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced data is a scholarly article[1].
Key Facts
Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced data. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-perception-graph-convolutional-tree-embedded-network-for-aero-engine-bearing-health-monitoring-with-unbalanced-dat
MLA“Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-perception-graph-convolutional-tree-embedded-network-for-aero-engine-bearing-health-monitoring-with-unbalanced-dat.
BibTeX@misc{4ortxyz_multi-perception-graph-convolutional-tree-embedded-network-for-aero-engine-bearing-health-monitoring-with-unbalanced-dat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced data}}, year = {2026}, url = {https://4ort.xyz/entity/multi-perception-graph-convolutional-tree-embedded-network-for-aero-engine-bearing-health-monitoring-with-unbalanced-dat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced data — https://4ort.xyz/entity/multi-perception-graph-convolutional-tree-embedded-network-for-aero-engine-bearing-health-monitoring-with-unbalanced-dat (retrieved 2026-05-24)