Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Development of an autoencoder-based algorithm for fault detection in rotary machines is presented in this paper. As the cornerstone of any machine learning model, feature engineering is thoroughly ...

The proposed eXaplainable autoencoder PINN (XA-PINN) algorithm provides a deeper understanding of the decision-making process of microwave absorption frequency bandwidth classification.