All Stories

  1. Bayesian monitoring of machining processes using non-intrusive sensing and on-machine comparator measurement
  2. A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes
  3. A Bayesian information fusion approach for end product quality estimation using machine learning and on-machine probing
  4. An interpretable machine learning based approach for process to areal surface metrology informatics
  5. Inspection by exception: A new machine learning-based approach for multistage manufacturing
  6. Development of a New Machine Learning-based Informatics System for Product Health Monitoring
  7. A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing
  8. An Intelligent Metrology Informatics System based on Neural Networks for Multistage Manufacturing Processes
  9. Uncertainty evaluation associated with versatile automated gauging influenced by process variations through design of experiments approach