BMJ

Generalisable artificial intelligence ECG trained on public data for outcome prediction after transcatheter aortic valve replacement

Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.
IEEE

Practical Nonlinear Model Predictive Control With Kolmogorov–Arnold Network Models

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
IEEE

Enhanced Dynamic Performance of Modular Multilevel Converters Using Exponential Cost Function-Based Model Predictive Control

Abstract: This paper proposes the use of Model Predictive Control (MPC) with an exponential cost function for the Modular Multilevel Converter (MMC), which is widely recognized as a preferred ...