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Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
Amid reduced Western countermeasures, the playing field appears tilted in the CCP’s favor compared to just a year ago. In 2025, Beijing’s foreign information influence operations grew more ...
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