Digital twinUS & West
Integrating ML and uncertainty quantification for real-time decisions in digital twins
A narrative review examines how predictive modeling, machine learning, uncertainty quantification and decision-making are combined in engineering digital twins. It surveys decision architectures and methods addressing their limits across the decision loop, with attention to maintaining them during online operation.