Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, lakes, and coastal waters, and a new review explains how this technological ...

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...

1 Department of Civil and Environmental Engineering, Hanyang University, Seoul, Republic of Korea 2 Department of Civil and Mineral Engineering, University of Toronto, Toronto, ON, Canada Accurate ...