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 ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
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 ...
Safety Leadership and Safety Performance: An integrative Model for Ghanaian Construction Industry ()
Safety Leadership, Worker Behaviour, Safety Performance, Integrative Model, Ghanaian Construction Industry Share and Cite: ...
Abstract: Seafloor classification and mapping are crucial for understanding the composition and spatial distribution of submarine materials. Currently, the data-driven modeling of underwater acoustic ...
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