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Copying of the figure evaluates subject visual perception, practical-constructive skills, visuospatial analytical capacity, and right-left orientation.
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The rest of the figures evaluate the detection accuracy of the ADLU algorithm against the attacks of Table 1 and the false-negative rates that it achieved.
We also observe that in the subset Φ4, when the threshold on the maximum absolute value of the cross-correlation peak decreases, the statistical figures evaluated increase.
Figure 4 evaluates how each scheduler behaves with different levels of tasks heterogeneity.
Figure 5 evaluates how each scheduler behaves with different levels of resources heterogeneity.
Figure 5 evaluates the Mean User Throughput (MUT) with an increasing number of MR available in the scenario.
Fig. 16 Energy Consumption VS BMSs. Figure 17 evaluates the energy consumption of the body coordinators of their respective MAC Superframe structures.
Next, Figure 7 evaluates the performances of routing schemes in terms of the number of channel uses.
Figure 3 evaluates also the accuracy of the theoretical results and compares it with the simulation results.
Next, Figure 9 evaluates the performance of the following designs: OW-ZF, IA-Iter, and Max-SINR, as a function of the precoding vectors sizes.
Figure 11 evaluates the bending behaviour of prism specimens cured through standard curing method, water curing method and steam curing method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com