Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.
Researchers at ETH Zurich recently explained the role of a molecular complex that orchestrates the production of proteins in ...
Introduction Implementation of low-intensity, evidence-based psychological interventions can help meet the mental health and ...
Abstract: Gaussian process (GP) regression has been widely used in supervised machine learning due to its flexibility and inherent ability to describe uncertainty in function estimation. In the ...
A landmark deal with Pacific Gas & Electric will extend the life of the state's remaining nuclear power plant in exchange for thousands of acres of new conservation in San Luis Obispo County.
This asynchronous course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to ...
General Semi-Nonnegative Matrix Factorization and Its Application for Statistical Process Monitoring
Abstract: As an effective feature extraction and dimensionality reduction technique, nonnegative matrix factorization (NMF) has been widely applied in fault detection in recent years. The requirement ...
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