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In order to assess the validity of our approach, we consider a subset of the human kinome denoted as the validation data set.
The numerical results reported show the validity of our approach.
The empirical results evidence the validity of our approach.
This comparison checks out the validity of our approach.
The validity of our approach is confirmed by some concrete examples.
Experimental results confirm the validity of our approach and its higher robustness against geometric distortions.
We check by simulation on some example network the validity of our approach.
We evaluated the validity of our approach in simulated and real environments, where it was benchmarked against previous methods.
The validity of our approach is demonstrated using direct comparisons with predictions from the Orr Sommerfeld equations.
We present numerical results confirming the validity of our approach for complex fracture networks and for different flow models.
Tests on real-life event data confirmed the validity of our approach, in terms of accuracy, robustness, scalability, and usability.
More suggestions(12)
the applicability of our approach
the soundness of our approach
the adequacy of our approach
the appropriateness of our approach
the accuracy of our approach
the rationale of our approach
the merits of our approach
the usefulness of our approach
the core of our approach
the goal of our approach
the purpose of our approach
the crux of our approach
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