Improving Bearing Fault Identification by Using Novel Hybrid Involution-Convolution Feature Extraction With Adversarial Noise Injection in Conditional GANs. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:title	Improving Bearing Fault Identification by Using Novel Hybrid Involution-Convolution Feature Extraction With Adversarial Noise Injection in Conditional GANs. (xsd:string)
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