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  1. Application of Artificial Neural Networks to Stochastic Estimation and Jet Noise Modeling
  2. Jet Noise Prediction via Low-order Machine Learning
  3. Stochastic Estimation Using Modern Methods in Machine Learning
  4. A Deep Learning Approach to Jet Noise Prediction
  5. Multi-Measurement Correlations in the Near-Field of a Complex Supersoinc Jet Using Time-Resolved Schlieren Imaging
  6. Identifying Coherent Structures in a 3-Stream Supersonic Jet Flow Using Time-Resolved Schlieren Imaging