Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Internal Control System, Forensic Accounting, Fraud Prevention, Vutumu Forensic Accounting Theory (VFAT), Committee of ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

Abstract: The existing double-vector (DV) model-predictive control for a permanent magnet synchronous motor (PMSM) selects the optimal voltage vector (OVV) combination by traversing 12 alternative ...

Background: Lower limb deep vein thrombosis (LDVT) is a common but often underdiagnosed complication after colorectal cancer (CRC) surgery. Its early symptoms are subtle, and delayed detection can ...

NPR's Ailsa Chang speaks to mathematician Eugenia Cheng about the Pascaline — a 17th-century invention credited as the first mechanical calculator. Blaise Pascal was a mathematician, a scientist, a ...

Blaise Pascal was a mathematician, a scientist, a philosopher, a Christian writer and the son of a tax collector in 17th century France. The family business involved a lot of tedious arithmetic, so ...

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 ...

To develop a more rational and practical model for estimating the effective stiffness (ES) of circular hollow reinforced concrete piers (CHRCPs), this study compiled a database of 50 quasi-static ...