IEEE

Adaptive Moment Estimation-Based Model Predictive Control for PMSM Motor With Low Tracking Error

Abstract: To address the tracking error issue in finite control set model predictive control (FCS-MPC) systems, this article proposes an online optimization MPC ...
BMJ Open

Using virtual twin-based AI models to detect atrial fibrillation and improve stroke outcomes [TAILOR]: a multicentre prospective cohort study

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
rowan

Online BS in Data Analytics

Strengthen your skills in skills in data collection, exploration, analysis, visualization, presentation and dissemination as a student in our flexible, fully online bachelor's degree in data analytics ...
IEEE

Robust Model-Free Predictive Torque Control for Induction Motor Drive Based on an Ultralocal Model

Abstract: Model predictive torque control (PTC) is a high-performance control strategy for induction motor (IM) drives. However, its performance is highly dependent on the motor parameters. Besides, ...