In patients with gout, the late initiation of urate-lowering therapy is linked to poorer long-term serum urate control, and ...

Multivariate quality control in conjunction with Fourier transform infrared Spectroscopy (FTIR) were used to qualitatively detect the class and the condition of lubricating oils. The multivariate ...

Paper aims Based on challenges faced in real SPC application, this paper considers implementation and performance of self-starting methodology in multivariate process monitoring. Originality ...

Abstract: Multivariate memory-type control charts that use information from both the current and previous process observations have been proposed. They are designed to detect shifts in both upper and ...

Abstract: The pendulum-swing problem is a factor that limits the development of parafoil-unmanned aerial vehicle (UAV) systems. Autonomous attitude control based on parafoil and UAV control mechanisms ...

Summary: Researchers made a breakthrough in understanding how the brain manages to focus in noisy environments, distinguishing between enhancing relevant information and tuning out distractions. Their ...

A steel industry example shows how Industry 4.0 and control engineering intersect. This feature originally appeared in the October 2023 issue of InTech digital magazine. Control engineering is a ...

Figure 1: A biologics manufacturing process consists of three main steps. Continued process verification (CPV) is an integral part of process validation for the manufacture of human and animal drugs ...

Figure 1: Hierarchical model schematic; information from all base-level models is communicated to a top-level model through their respective matrices (T j) into a consensus matrix R. R is used to ...

This repository contains the implementation of a multivariate control chart with dimension reduction techniques, namely Factor Analysis of Mixed Data (FAMD) and Autoencoder. The control chart is ...