The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving real-time monitoring and combustion safety.

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...