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First, we present the performance on the employed data sets.
We also present the performance of two reference schemes.
Then, we present the performance evaluation studies of SRIO.
We also present the performance of the prototype.
Finally, numerical simulations present the performance of the proposed observer.
In this section, we present the performance evaluation of the proposed MESF task-scheduling scheme.
In Section 6, we describe the evaluation methodology and then we present the performance results.
In Figure 16, we present the performance of allocation schemes when adaptive is used.
In this section, we present the performance of the proposed algorithms and other comparison schemes.
We present the performance results for each dataset (DS), genetic configuration (C), and leaning scheme (LS).
In the following sections we present the performance of these approaches on the ChEMBL dataset.
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CEO of Professional Science Editing for Scientists @ prosciediting.com