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

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

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.

See how BioDlink’s digital-intelligence platform is driving three major improvements in lyophilization workflows.

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 ...