This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...

Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests ...

AI models outperform traditional statistics in predicting post-complete cytoreduction outcomes in ovarian cancer patients. AI's diagnostic accuracy was high for predicting overall survival and no ...

Researchers at National Taiwan University have proposed a novel method to predict the onset of lithium metal formation—an ...

In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...

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

A whole-genome sequencing approach shows early promise over current commercial methods for identifying more patients likely ...

Along a quiet stretch of central California, the tiny town of Parkfield sits atop one of the most closely watched pieces of ...