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Intelligent tools need to analyze the multiple process variables concerned and to predict the production yield effectively.
A 25 full factorial design was applied to investigate the effect of multiple process variables on the% dye removal efficiency.
The statistical method is a versatile technique for investigating multiple process variables because it makes the process easily optimized with fewer experimental trials (Bajaj et al. 2009).
The fact that these multiple objectives are often conflicting in nature and can have completely different trends with respect to multiple process variables makes the representation and analysis of the trade-off information an extremely formidable task.
RSM is a powerful technique for testing multiple process variables, because fewer experimental trials are required when compared with the study of one variable at a time.
Orthogonal test was considered as a powerful technique for testing multiple process variables and identifying interactions between variables, and a combination of multiple factors generating an optimal result can be identified by this method [ 40].
Similar(53)
The rotary processor can be used for single step spheroid production directly from powder with multiple formulation and process variables involved.
These results demonstrate that the Prosigna assay is analytically reproducible even when performed at multiple test sites and including all process variables.
A predictive model describing the oil yield in terms process variables was derived from multiple regression analysis.
Predictive model describing the fractional conversion in terms of process variables was derived from multiple regression analysis.
Further, patterns in and relationships to process variables should be examined at multiple scales to develop a comprehensive understanding of the mechanisms driving functional heterogeneity.
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multiple process partitions
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multiple exposure variables
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