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 ...
Analysis of Multivariate Indoor Building Data: A Comparative Study of Time-Series Clustering Methods
Abstract: Clustering multivariate time-series data is crucial for uncovering complex temporal patterns in dynamic environments, such as building indoor conditions and behavior where variables like ...
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 ...
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 ...
Department of Chemistry, Texas A&M University, College Station, Texas 77843-3255, United States College of Chemistry, Tianjin Normal University, Tianjin, 300387, China Key Laboratory of Advanced ...
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