A research team affiliated with UNIST has reported a new simulation tool to better understand how liquid-phase chemical ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
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 ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
In order to study the influence of confining pressure on the deformation of concrete, triaxial compression and creep tests under different confining pressures are carried out using a combination of ...
Abstract: This paper proposes a novel model predictive control design for Internet of Things (IoT) applications by using the generalized opposition-based learning particle swarm optimization algorithm ...
Introduction: The dynamic behavior analysis of nonlinear physical systems plays a critical role in understanding complex processes across various domains, including education, where interactive ...
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