OCENCH is a One-Class Classification and Anomaly Detection method based on the use of random projections of the original data space to reduce their complexity (Figure 1), followed by a process based ...

I utilized the well-known artificial wave dataset (Breiman et al., 1984) in this study. The original dataset contained 21 variables. In 2005, Rakotomalala added 100 noise variables to the dataset, ...

Abstract: The normal approximation and Monte Carlo simulation methods are widely used in the metrology to evaluate the expanded uncertainty, whereby the latter method is known to be the most robust ...