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07/25/2020
Few-Shot Bearing Anomaly Detection Based on Model-Agnostic Meta-Learning
The rapid development of artificial intelligence and deep learning techn...
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12/02/2019
Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders
Most of the data-driven approaches applied to bearing fault diagnosis up...
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11/04/2019
Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE
The optimization of electric machines at multiple operating points is cr...
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01/24/2019
