Semiconductor Engineering

Multivariate Analysis For Full Process Visibility

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...
Nature

Variable parameters memory-type control charts for simultaneous monitoring of the mean and variability of multivariate multiple linear regression profiles

Variable parameters (VP) schemes are the most effective adaptive schemes in increasing control charts' sensitivity to detect small to moderate shift sizes. In this paper, we develop four VP adaptive ...
Nature

Research on the condition monitoring method of unmanned aerial vehicle based on improved multivariate state estimation technique

The widespread use of unmanned aerial vehicles (UAVs) stimulates the demand for condition monitoring methods. To this end, a wide range of condition monitoring methods have been developed to monitor ...
GEN

Machine Learning for Process Validation

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...