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The previous methods to protect the silver has several disadvantages.
In this study, modifications are made to the previous methods.
The main difference between this study and the previous methods is the approach and target of negative selection.
Compared with the previous methods, the improved method shows the advantages of good versatility and flexibility.
While elevated heat transfer was achieved, the previous methods assume a flat foil shape.
Moreover, our proposed reliability degree was more robust in outliers than the previous methods.
A compact study is also been done based on the previous methods.
This eliminates the high-bandwidth control efforts for the current tracking required in the previous methods.
Most of the previous methods require some amount of user interventions, making colorization a hard work.
Here we present an extension of the previous methods that makes the Bayesian method applicable to large data sets.
In such situations, all of the previous methods are disadvantaged in their being conservative.
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