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Most real applications require uniquely decipherable codes.
However, the technique only uses normal forces that are far away from the conditions in most real applications.
Weibull distribution plays an important role in failure distribution modeling in reliability studies and the estimation of its parameters is essential in the most real applications.
Typically, these tests are based on strongly simplified mechanical test conditions compared to the complex load situation occurring in most real applications.
The Weibull distribution is one of the most widely used lifetime distributions in reliability engineering and the estimation of the parameters of this distribution is essential in the most real applications.
The generality of the proposed method so has extended the image-unwarping capability of the existing methods for the hypercatadioptric camera to tolerate lens/mirror assembly imprecision, which is difficult to overcome in most real applications.
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Although in most real life applications XML data is required to conform to particular schemas, the majority of real-world XML documents does not contain any explicit declaration.
The second assumption stands in most real world applications where it is required to count people in the scene; of course in the rare cases in which the second assumption is not verified (waving trees, moving vehicles, etc)., the proposed method cannot be adopted.
In most real-world applications, specially in biomedical applications, the nature of signals from different classes is very similar, and there could only be slight changes in the TF patterns of signals from different classes.
Nevertheless, most real-world applications require real-time processing, an issue which has only recently been addressed.
These assumptions are violated in most real-world applications, especially when classifiers are designed using limited and imbalanced training data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com