Now showing items 34-36 of 74

    • Covariance estimation on matrix manifolds 

      Musolas Otaño, Antoni M.(Antoni Maria) (Massachusetts Institute of Technology, 2020)
      The estimation of covariance matrices is a fundamental problem in multivariate analysis and uncertainty quantification. Covariance matrices are an essential modeling tool in climatology, econometrics, model reduction, ...
    • Enhancing internet of things experience in augmented reality environments 

      Sun, Yongbin,Ph. D.Massachusetts Institute of Technology. (Massachusetts Institute of Technology, 2020)
      Seamless perception of objects' physical properties, such as temperature, is a key to improving the way we live and work. Thanks to the rapid development of sensor technology, Internet of Things (IoT) is shaping our world ...
    • Physics-constrained machine learning strategies for turbulent flows and bubble dynamics 

      Wan, Zhong Yi,Ph. D.Massachusetts Institute of Technology. (Massachusetts Institute of Technology, 2020)
      Machine learning (ML) has in recent years become a sizzling trend in almost every science and engineering discipline. It enables scientists and engineers to make decisions or draw conclusions directly using information ...