Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a ...

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 ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...