4 citations · 8 across the 5 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2025
Active transfer learning for structural health monitoring
J. Poole, N. Dervilis, K. Worden +4
Data for training structural health monitoring (SHM) systems are often expensive and/or impractical to obtain, particularly for labelled data. Population-based SHM (PBSHM) aims to…
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…
cs.LG2022★ 3 cited
On statistic alignment for domain adaptation in structural health monitoring
Jack Poole, Paul Gardner, Nikolaos Dervilis +2
The practical application of structural health monitoring (SHM) is often limited by the availability of labelled data. Transfer learning - specifically in the form of domain adapta…