3 papers
cs.LG2025
Multi-Task Equation Discovery
S C Bee, N Dervilis, K Worden +1
Equation discovery provides a grey-box approach to system identification by uncovering governing dynamics directly from observed data. However, a persistent challenge lies in ensur…
cs.LG2025
Physics-informed transfer learning for SHM via feature selection
J. Poole, P. Gardner, A. J. Hughes +4
Data used for training structural health monitoring (SHM) systems are expensive and often impractical to obtain, particularly labelled data. Population-based SHM presents a potenti…
stat.ML2025
On the use of Statistical Learning Theory for model selection in Structural Health Monitoring
C. A. Lindley, N. Dervilis, K. Worden
Whenever data-based systems are employed in engineering applications, defining an optimal statistical representation is subject to the problem of model selection. This paper focuss…