4 papers
Modeling and Forecasting Art Movements with CGANs
Edoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi +2
Conditional Generative Adversarial Networks~(CGAN) are a recent and popular method for generating samples from a probability distribution conditioned on latent information. The lat…
A streaming feature-based compression method for data from instrumented infrastructure
Alastair Gregory, Din-Houn Lau, Alex Tessier +1
An increasing amount of civil engineering applications are utilising data acquired from infrastructure instrumented with sensing devices. This data has an important role in monitor…
The synthesis of data from instrumented structures and physics-based models via Gaussian processes
Alastair Gregory, Din-Houn Lau, Mark Girolami +2
A recent development which is poised to disrupt current structural engineering practice is the use of data obtained from physical structures such as bridges, viaducts and buildings…
A Quantile-Based Approach to Modelling Recovery Time in Structural Health Monitoring
Alastair Gregory, F. Din-Houn Lau, Liam Butler
Statistical techniques play a large role in the structural health monitoring of instrumented infrastructure, such as a railway bridge constructed with an integrated network of fibr…