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A detailed simulation model is developed, including realistic wave loading, and is used to assess the performance of the method.
In this analysis, validated drug targets for currently existing drugs and essential non- homologous proteins were taken to assess the performance of the method.
So as to assess the performance of the method, we utilized LISA-Q Front FOV Dataset [35] which contains three different annotated video sequences.
The evaluation conducted this way is useful to assess the performance of the method under different acoustic environments with control on specific aspects of the acoustic setup.
We also apply the method to doubly periodic shear-layers to assess the performance of the method on more difficult applications.
A number of computational examples are considered to assess the performance of the method in comparison with analytical solutions and previous work on the subject.
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We assess the performance of the methods in several ways (Fig. 5).
Numerical examples are provided to assess the performance of the proposed method compared with other methods.
Simulation results are given in Section 6 to assess the performance of the proposed method.
A leave-one-out procedure is used to assess the performance of the different methods.
A simulation study was performed to assess the performance of the module detection method.
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assess the performance of the procedure
assess the performance of the methods
evaluated the performance of the method
assess the capacity of the method
assess the performance of the classifier
assess the acceptance of the method
assess the performance of the evaporator
assess the utility of the method
assess the performance of the fabric
assess the robustness of the method
assess the performance of the application
assess the effectiveness of the method
assess the ability of the method
assess the performance of the consensus
assess the value of the method
assess the stability of the method
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