Your English writing platform
Discover LudwigExact(12)
Validation problems are presented that demonstrate the application and accuracy of the method.
We study the classical problems for reasoning about (mathsf {GFDs}), such as their satisfiability, implication and validation problems.
The accuracy of the implemented multiscale analysis is verified by comparing the results against two validation problems.
A series of verification and validation problems are used to illustrate the convergence properties of the algorithm.
The results of these two validation problems show the feasibility and effectiveness of the proposed model validation method.
Based on the numerous validation problems, this analysis is proven credible for predicting the buckling load of rectangular and non-rectangular panels with a cutout.
Similar(48)
Scale models can be a solution for the validation problem.
In addition, a practical aviation structure engineering validation problem is described.
Indeed, consider the decision version of the problem, referred to as the validation problem for (mathsf {GFDs}).
The scope of the validation problem is particularly challenging for mental health apps due to their disproportionately large number.
However, for the validation problem, both fusion methods give better false acceptance rate/false rejection rate values regarding to individual biometrics.
Write better and faster with AI suggestions while staying true to your unique style.
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