As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

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

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 ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...