Deep Generative Modeling-based Data Augmentation with Demonstration using the BFBT Benchmark Void Fraction Datasets. - Farah Alsafadi; Xu Wu (CoRR, 2023)

Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks. - Aidan Furlong; Farah Alsafadi; Scott Palmtag; Andrew Godfrey; Xu Wu (CoRR, 2024)

Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks. - Farah Alsafadi; Aidan Furlong; Xu Wu (CoRR, 2024)

An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation. - Farah Alsafadi; Mahmoud Yaseen; Xu Wu (CoRR, 2024)