Generative Adversarial Networks for Labeled Data Creation for Structural Monitoring and Damage Detection. (arXiv:2112.03478v4 [cs.LG] UPDATED)

There has been a drastic progression in the field of Data Science in the last
few decades and other disciplines have been continuously benefitting from it.
Structural Health Monitoring (SHM) is one of those fields that use Artificial
Intelligence (AI) such as Machine Learning (ML) and Deep Learning (DL)
algorithms for condition assessment of civil structures based on the collected
data. The ML and DL methods require plenty of data for training procedures;
however, in SHM, data collection from civil …

arxiv data detection generative adversarial networks monitoring networks