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Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions
Research article (Engineering Applications of Artificial Intelligence, 2024) · cited 14× · AI/ML
Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions
Summary
Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions is a scholarly article[1].
Key Facts
Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/bearing-fault-diagnosis-based-on-high-confidence-pseudo-labels-and-dual-view-multi-adversarial-sparse-joint-attention-ne
MLA“Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bearing-fault-diagnosis-based-on-high-confidence-pseudo-labels-and-dual-view-multi-adversarial-sparse-joint-attention-ne.
BibTeX@misc{4ortxyz_bearing-fault-diagnosis-based-on-high-confidence-pseudo-labels-and-dual-view-multi-adversarial-sparse-joint-attention-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions}}, year = {2026}, url = {https://4ort.xyz/entity/bearing-fault-diagnosis-based-on-high-confidence-pseudo-labels-and-dual-view-multi-adversarial-sparse-joint-attention-ne}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions — https://4ort.xyz/entity/bearing-fault-diagnosis-based-on-high-confidence-pseudo-labels-and-dual-view-multi-adversarial-sparse-joint-attention-ne (retrieved 2026-05-24)