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  1. Deep semi-supervised generative adversarial fault diagnostics of rolling element bearings
  2. A novel quantitative ecological and microbial risk assessment methodology: theory and practice
  3. Deep variational auto-encoders: A promising tool for dimensionality reduction and ball bearing elements fault diagnosis
  4. Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings