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 ...
Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
IEEE

Optimizing Electric Vehicle Motor Drive Systems Using a Model Predictive Control Compared With (PID) Controller for Enhanced Efficiency

Abstract: This study aims to enhance the efficiency of Electric Vehicle (EV) motor drive systems by implementing Model Predictive Control (MPC) compared to the conventional ...
IEEE

An Effective Multivector Model Predictive Current Control for PMSM Drive Based on Low-Complexity Voltage Vector Preselection

Abstract: Model predictive current control (MPCC) is an advanced control strategy for nonlinear constrained systems that demand quick dynamic response. An effective multivector MPCC technique based on ...