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Featured Co-authors

N. Dervilis
14 publications
G. Tsialiamanis
9 publications
D. J. Wagg
7 publications
L. A. Bull
5 publications
T. J. Rogers
3 publications
P. A. Gardner
2 publications
E. J. Cross
2 publications
E. Papatheou
2 publications
A. E. Maguire
2 publications
R. S. Mills
2 publications
M. R. Jones
2 publications

∙ 07/19/2023

Towards a population-informed approach to the definition of data-driven models for structural dynamics

Machine learning has affected the way in which many phenomena for variou...

0 G. Tsialiamanis, et al. ∙

∙ 07/12/2023

On the hierarchical Bayesian modelling of frequency response functions

Population-based structural health monitoring (PBSHM) aims to share valu...

0 T. A. Dardeno, et al. ∙

∙ 04/26/2023

A probabilistic approach for acoustic emission based monitoring techniques: with application to structural health monitoring

It has been demonstrated that acoustic-emission (AE), inspection of stru...

0 C. A. Lindley, et al. ∙

∙ 03/08/2023

Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets

There have been recent efforts to move to population-based structural he...

0 S. C. Bee, et al. ∙

∙ 02/15/2023

A Meta-Learning Approach to Population-Based Modelling of Structures

A major problem of machine-learning approaches in structural dynamics is...

0 G. Tsialiamanis, et al. ∙

∙ 08/18/2022

On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation

A major problem of structural health monitoring (SHM) has been the progn...

0 G. Tsialiamanis, et al. ∙

∙ 03/08/2022

On generative models as the basis for digital twins

A framework is proposed for generative models as a basis for digital twi...

0 G. Tsialiamanis, et al. ∙

∙ 03/03/2022

On partitioning of an SHM problem and parallels with transfer learning

In the current work, a problem-splitting approach and a scheme motivated...

0 G. Tsialiamanis, et al. ∙

∙ 03/03/2022

On an application of graph neural networks in population based SHM

Attempts have been made recently in the field of population-based struct...

0 G. Tsialiamanis, et al. ∙

∙ 03/03/2022

On generating parametrised structural data using conditional generative adversarial networks

A powerful approach, and one of the most common ones in structural healt...

0 G. Tsialiamanis, et al. ∙

∙ 03/02/2022

On the application of generative adversarial networks for nonlinear modal analysis

Linear modal analysis is a useful and effective tool for the design and ...

10 G. Tsialiamanis, et al. ∙

∙ 11/30/2021

Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm

Power curves capture the relationship between wind speed and output powe...

0 L. A. Bull, et al. ∙

∙ 05/12/2021

On risk-based active learning for structural health monitoring

A primary motivation for the development and implementation of structura...

13 A. J. Hughes, et al. ∙

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