activity
20212026
most citedOn risk-based active learning for structural health monitoring

45 citations · 155 across the 24 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.LG2024

When does a bridge become an aeroplane?

Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis +1

Despite recent advances in population-based structural health monitoring (PBSHM), knowledge transfer between highly-disparate structures (i.e., heterogeneous populations) remains a…

cs.LG2024★ 1 cited

Active learning for regression in engineering populations: A risk-informed approach

Daniel R. Clarkson, Lawrence A. Bull, Chandula T. Wickramarachchi +5

Regression is a fundamental prediction task common in data-centric engineering applications that involves learning mappings between continuous variables. In many engineering applic…

cs.LG2024

Multitask learning for improved scour detection: A dynamic wave tank study

Simon M. Brealy, Aidan J. Hughes, Tina A. Dardeno +4

Population-based structural health monitoring (PBSHM), aims to share information between members of a population. An offshore wind (OW) farm could be considered as a population of…

stat.AP2024

Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge

Lawrence A. Bull, Chiho Jeon, Mark Girolami +3

We suggest a multilevel model, to represent aggregate train-passing events from the Staffordshire bridge monitoring system. We formulate a combined model from simple units, represe…

cs.LG2024

Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling

S. M. Smith, A. J. Hughes, T. A. Dardeno +3

Population-based structural health monitoring (PBSHM), aims to share information between members of a population. An offshore wind (OW) farm could be considered as a population of…