Abstract: This paper provides a comprehensive tutorial on a family of Model Predictive Control (MPC) formulations, known as MPC for tracking, which are characterized by including an artificial ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Abstract: This study proposes a predictive model for assessing student mental health risk based on academic data using machine learning techniques. The objective is to identify the most effective ...

Predictive models were built with records from 4758 patients and validated with 6977 patients after evaluation in the emergency department. Variables recorded were age, sex, place of birth, clinical ...

Results: The model demonstrated strong predictive performance across validation cohorts. Area under the receiver operating characteristic curve values for metabolic syndrome prediction ranged from ...

Introduction: Shape-morphing programmable materials, capable of dynamically adjusting their properties in response to external stimuli, hold significant potential in adaptive design and smart ...

Jeff has been hopping on Goombas and collecting Triforce shards since the late NES era. Today, he appreciates all things console games - with a slight favoritism towards his Nintendo franchises. He's ...