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A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes is introduced. The proposed model may accommodate the original single shift setting to the more realistic situation of gradual ...
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes
(2012-09-01)
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes is introduced. The proposed model may accommodate the original single shift setting to the more realistic situation of gradual ...
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes
(2012-09-01)
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes is introduced. The proposed model may accommodate the original single shift setting to the more realistic situation of gradual ...
A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks
Bayesian networks are regarded as one of the essential tools to analyze causal relationship between events from data. To learn the structure of highly-reliable Bayesian networks from data as quickly as possible is one of ...
SCAT Model Based on Bayesian Networks for Lost-Time Accident Prevention and Rate Reduction in Peruvian Mining Operations
(Springer, 2020-01-01)
Several factors affect the activities of the mining industry. For example, accident rates are critical because they affect company ratings in the stock market (Standard & Poors). Considering that the corporate image is ...
Disease Diagnosis from Immunoassays with Plate to Plate Variability: A Hierarchical Bayesian Approach
(Springer, 2014)
The standard methods of diagnosing disease based on antibody microtiter plates are quite crude. Few methods create a rigorous underlying model for the antibody levels of populations consisting of a mixture of positive and ...
Bayesian optimization of crystallization processes to guarantee end-use product properties
(Universidad Nacional del Sur, 2020-04-01)
For pharmaceutical solid products, the issue of reproducibly obtaining their desired end-use properties depending on crystal size and form is the main problem to be addressed and solved in process development. Lacking a ...
Sequential Bayesian Experimental Design for Process Optimization with Stochastic Binary Outcomes
(Elsevier B.V., 2018-01)
For innovative products, the issue of reproducibly obtaining their desired end-use properties at industrial scale is the main problem to be addressed and solved in process development. Lacking a reliable first-principles ...
Continuous performance monitoring of a closed-loop insulin delivery system using Bayesian Surprise
(QUALIS CAPES (UFSC), 2012-10)
The development of an artificial pancreas for the treatment of insulindependent diabetes is a big challenge for control theory. Many closed-loop algorithms have been widely evaluated for their ability to recreate, as closely ...