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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...
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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...
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02/15/2023
A Meta-Learning Approach to Population-Based Modelling of Structures
A major problem of machine-learning approaches in structural dynamics is...
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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...
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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...
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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...
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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...
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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...
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03/02/2022
