IEEE

Enhanced Multi-objective Model Predictive Control for Permanent Magnet Assisted Synchronous Reluctance Machines: A Robust Implementation with Sparse Parameter Identification

Abstract: Model predictive control of permanent magnet machines is still attracting attention due to the need of simultaneously addressing computational burden, robustness to parameter variance and ...
IEEE

Moving from a 3D Axial Flux Machine Model to 2D Considering the Impact of End Leakage Flux

Abstract: Axial Flux Machines (AFMs) may have a potential of smaller axial length and higher power and torque density compared to the Radial Flux Machines (RFMs). However, the AFM needs to be modeled ...
PCMag

Hidden Gems: The Top Startups at CES 2026 That Caught Our Eye

Color-changing fingernails, a portable food allergy tester, and an AI-powered bartender were among the most intriguing ...
Journal of Medical Internet Research

Longitudinal Model Shifts of Machine Learning–Based Clinical Risk Prediction Models: Evaluation Study of Multiple Use Cases Across Different Hospitals

Objective: This study aimed to assess the impact of a model shift on ML-based prediction models by evaluating 3 different use cases—delirium, sepsis, and acute kidney injury (AKI)—from 2 hospitals (M ...