Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to ...

A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...

Erfahren Sie, was Gradient Boosting von Random Forests unterscheidet, zwei Algorithmen für maschinelles Lernen, die Entscheidungsbäume verwenden, und wie Sie den besten für Ihre Daten auswählen.

Using space lasers and AI, scientists can now measure forest carbon with greater speed and precision—transforming global climate monitoring and forest management.

This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

A new study used machine learning to pinpoint the lifestyle and health factors most strongly associated with cognitive ...

Scientists say they have worked out a machine learning method with the ability to provide close to precise survival estimates of patients afflicted with prostate adenocarcinoma, which is by far the ...

A comprehensive comparative analysis of XGBoost and Random Forest algorithms for distinguishing breast cancer tissue from normal ... (Extreme Gradient Boosting): XGBoost is a boosting algorithm that ...