Conventional principal component analysis (PCA) performs poorly in nonlinear process monitoring due to it only can capture the linear structure of the process variables. To overcome this nonlinear ...

This brief discusses a novel quality-driven principal component analysis method for statistical process monitoring. Through a nonlinear mapping, the original measurement space is mapped to another ...

Pastas is an open source python package for processing, simulating and analyzing groundwater time series. The object oriented structure allows for the quick implementation of new model components.

The rising popularity of Vaccinium berry dietary supplements for their antioxidant and anti-inflammatory benefits has raised concerns about mislabeling and adulteration. Traditional authentication ...