diginomica

How Den Fælles Sterilcentral is using digital twins to streamline process collaboration and improvement

Den Fælles Sterilcentral CEO Thomas Bøgeskov explains how SAS helped them build a digital twin of a medical sterilization ...
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 ...
Frontiers

Enhancing one-year mortality prediction in STEMI patients post-PCI: an interpretable machine learning model with risk stratification

A total of 46 variables were included in the final dataset, comprising demographic information, cardiovascular history, and laboratory measurements. These features included: gender, age, total ...
C&EN

Predictive Modeling of Yield Sooting Index Using Machine Learning with Uncertainty Estimation

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study explores the development of two predictive models for the yield sooting ...
emjreviews.com

Machine Learning Model Predicts COPD Exacerbations Using Digital Inhaler Data

A NEW study finds that machine learning models using data from digital inhalers can successfully predict chronic obstructive pulmonary disease (COPD) exacerbations up to 5 days in advance, offering a ...