Tag: Machine learning

Researchers constructed a monthly Manufacturing Economic Policy Uncertainty index for the United States from 1985 to 2025 using machine learning ...

A new GeoAI framework combining Google Earth Engine, ensemble machine learning, and SHAP explainability mapped landslide susceptibility across central Nepal ...

A narrative review finds AI models across nephrology achieve strong predictive performance, yet prospective validation and evidence of patient benefit ...

A comparative study of seven uncertainty-aware machine learning frameworks on real-world cargo EV data shows trade-offs between prediction accuracy, interval ...

A condition-stratified study of westbound Interstate I-94 found that XGBoost without weather variables delivered the most accurate hour-ahead traffic forecasts.

A wrist-worn motion sensor and a compact neural network detected prosthetic hand contact with 99.1 percent accuracy in lab tests.

Machine learning and robotic synthesis are accelerating the search for catalysts that convert methane directly into ethylene, though researchers say ...

A new Perspective article outlines how Multi-Criteria Decision Analysis, predictive microbiology and machine learning can support microbiological food safety management ...

Unsupervised ensemble methods combining Choi, NHANES and HMM classifiers detected accelerometer non-wear in children more stably than individual algorithms.

A new five-dimension trustworthiness framework applied to HER2 breast cancer prediction shows that model rankings shift across reliability, explainability, stability, ...