Researchers in China are promoting a new machine-learning model built from satellite images that can offer a “lightweight and ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

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

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

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 ...