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.
Short-Term Forecasting of Convective Weather Affecting Civil Aviation Operations Using Deep Learning
Abstract: With the rapid development of the civil aviation industry, flight delays caused by convective weather are becoming increasingly severe. In terminal airspace with complex traffic environments ...
Students react to a newsletter about the rise of cynicism and how to cultivate optimism in the new year. By The Learning Network The Times Upshot reporter Claire Cain Miller joins us in January to ...
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