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Imbalance domain adaptation network with adversarial learning for fault diagnosis of rolling bearing

Research article (Signal Image and Video Processing, 2022) · cited 12× · AI/ML
academia openalex:W4280589819
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Imbalance domain adaptation network with adversarial learning for fault diagnosis of rolling bearing

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Imbalance domain adaptation network with adversarial learning for fault diagnosis of rolling bearing is a scholarly article[1].

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  • Imbalance domain adaptation network with adversarial learning for fault diagnosis of rolling bearing's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Imbalance domain adaptation network with adversarial learning for fault diagnosis of rolling bearing. Retrieved May 24, 2026, from https://4ort.xyz/entity/imbalance-domain-adaptation-network-with-adversarial-learning-for-fault-diagnosis-of-rolling-bearing
MLA “Imbalance domain adaptation network with adversarial learning for fault diagnosis of rolling bearing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/imbalance-domain-adaptation-network-with-adversarial-learning-for-fault-diagnosis-of-rolling-bearing.
BibTeX @misc{4ortxyz_imbalance-domain-adaptation-network-with-adversarial-learning-for-fault-diagnosis-of-rolling-bearing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Imbalance domain adaptation network with adversarial learning for fault diagnosis of rolling bearing}}, year = {2026}, url = {https://4ort.xyz/entity/imbalance-domain-adaptation-network-with-adversarial-learning-for-fault-diagnosis-of-rolling-bearing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Imbalance domain adaptation network with adversarial learning for fault diagnosis of rolling bearing — https://4ort.xyz/entity/imbalance-domain-adaptation-network-with-adversarial-learning-for-fault-diagnosis-of-rolling-bearing (retrieved 2026-05-24)

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