Nurul Aida Bt Othman

Structurally Causal Data Augmentation via Physics-Informed Neural Networks

The deployment of machine learning (ML) models in process engineering domain is limited by the availability of empirical failure data. This has caused any ML deployed in this domain to underperform, thus unable to generalize well to outof-distribution (OOD) condition. Several methods are available to augment and genera...