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      Cover image for Data-Driven Methods for Statistical Verification of Uncertain Nonlinear Systems
      1. 
      Data-Driven Methods for Statistical Verification of Uncertain Nonlinear Systems
      by 
      Quindlen, John Francis, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10903591
      Format: 
      Excerpt: 
      . These frameworks implement machine learning models to learn and predict the satisfaction of the
      Cover image for Modeling of Reynolds Stress Tensor with Embedded Galilean Invariance Using a Supervised Deep Learning Algorithm
      2. 
      Cover image for Prognostics and Health Management of Engineering Systems An Introduction
      3. 
      Prognostics and Health Management of Engineering Systems An Introduction
      by 
      Kim, Nam-Ho. author.
      http://dx.doi.org/10.1007/978-3-319-44742-1
      Format: 
      Excerpt: 
      sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering
      Cover image for Shock & Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics, Volume 9 Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017
      4. 
      Shock & Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics, Volume 9 Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017
      by 
      Harvie, Julie M. editor.
      http://dx.doi.org/10.1007/978-3-319-54735-0
      Format: 
      Excerpt: 
      Computer Vision and Unsupervised Machine Learning -- Chapter 6.Research of Under-Sampling Technique for