In many industrial applications, the output of a process characterized by p variables that are measured simultaneously. Independent variables can be charted individually, but if the variables are ...
Validating drug production processes need not be a headache, according to AI researchers, who say machine learning could be a single answer to biopharma’s multivariate problem. The FDA defines process ...
Revision of statistical process control procedures, evaluation of control chart performance and statistical design of charts, control of high quality process, multivariate process control, new process ...
Dublin, Feb. 16, 2023 (GLOBE NEWSWIRE) -- The "Statistics for Process Control" training has been added to ResearchAndMarkets.com's offering. This 6-hour virtual seminar includes a presentation of the ...
Multivariate data analysis (MVDA) is being used to effectively handle complex datasets generated by process analytical technology (PAT) in biopharmaceutical process development and manufacturing.
Many types of control charts have an ability to detect process changes that can weaken over time depending on the past data observed. This is often referred to as the "inertia problem." We propose a ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback