research
∙
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...
share
research
∙
02/15/2023
On the Detection and Quantification of Nonlinearity via Statistics of the Gradients of a Black-Box Model
Detection and identification of nonlinearity is a task of high importanc...
research
∙
02/15/2023
A Meta-Learning Approach to Population-Based Modelling of Structures
A major problem of machine-learning approaches in structural dynamics is...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
03/02/2022