Search Results for author:
Found 2 papers, 0 papers with code
A spectrum of physics-informed Gaussian processes for regression in engineering
Despite the growing availability of sensing and data in general, we remain unable to fully characterise many in-service engineering systems and structures from a purely data-driven approach.
Physics-informed machine learning for Structural Health Monitoring
The chapter will demonstrate how grey-box models, that combine simple physics-based models with data-driven ones, can improve predictive capability in an SHM setting.
BIG-bench Machine Learning
Physics-informed machine learning
+1
