Frontiers

AI-Driven Spatiotemporal Data Mining: Novel Architectures for Imputation and Forecasting

Accurate spatiotemporal prediction is fundamentally essential for anticipating and managing the dynamic evolutions within global physical, environmental, ...
IEEE

Predictive Modelling of Patient Outcomes Using Machine Learning: A Comparative Analysis of Algorithmic Approaches in Healthcare

Abstract: The study addresses the problem of prediction of patient outcomes in healthcare with machine learning methods, including such options like logistic regression, decision trees, random forests ...
Tech Xplore

New model uses team interactions to predict next steps in collaborative work

Finding the right information at the right time is critical for solving complex problems. Researchers have developed an algorithm that helps individuals locate needed information more efficiently by ...
IEEE

A Learning Model Predictive Control Framework With Long Short-Term Memory for Energy Management in Fuel Cell Hybrid Electric Buses

Abstract: To leverage the complementary physical characteristics (e.g., dynamic response) of fuel cells (FCs) and supercapacitors (SCs), effective energy management strategies (EMSs) need to be ...