Abstract: Univariate thresholding techniques based on high resolution time-frequency algorithms, such as the synchrosqueezing transform, have emerged as important tools in removing noise from real ...

Abstract: Feature extraction and dimensionality reduction are important tasks in many fields of science dealing with signal processing and analysis. The relevance of these techniques is increasing as ...

ABSTRACT: This article exploits the statistical distance T2 for the detection of cutting tool drift in the case of CNC machine tools. We present a control approach based on the T2 chart and inertial ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...

This paper assesses Morocco’s potential output and the scope for structural reforms to reverse the downward trend in economic performance observed since the Global Financial Crisis. Using multivariate ...

ABSTRACT: This study deals with the companies where persons who are convicted of a business prohibition for aggravated financial crimes, have acted in various positions. The main question is how the ...

Our modified synthetic data generation and analytic techniques have sequential components and many related analyses. Therefore, clear definitions, preliminaries, and a brief outline are given before ...

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 ...

In recent years, multivariate pattern analysis (MVPA) has been hugely beneficial for cognitive neuroscience by making new experiment designs possible and by increasing the inferential power of ...

Vibrational spectroscopy comprises label-free techniques that allow one to detect electronic changes in the internal vibrational energy levels of biomolecules. Biomolecules that contain chemical bonds ...