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Both methods were capable of providing notch at locations of interferences signals.
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Both methods are capable of parametrically identifying nonlinearities from measured frequency response functions.
Results indicate that both methods are capable of locating optimum conditions, with a relatively small number of experiments.
Both methods are capable of simulating transient flows and exhibit oscillatory behavior due to the propagation of pressure waves.
The experimental results performed in nitrogen confirm that both methods are capable of reducing the sensitivity of the flow sensor output signal to pressure variations.
The results obtained from this test case show that both methods are capable of accurately predicting the features expected during the progression of the flame vortex interaction.
The performance of each method is assessed using contemporary reference data obtained from aerial photographs, with the results indicating that both methods are capable of providing good estimates of catchment imperviousness.
Both methods are capable of detecting faces under severe occlusion and unconstrained pose variation and meet the difficulties of large scale real-world, real-time face detection, and are suitable for deployment even in mobile environments such as Unmanned Aerial Vehicles (UAVs).
Both methods are capable of modulating essential genes in situ in E. coli [11], [12] and S. aureus [13], [14], and certain antisense agents can inhibit Mycobacteria [15], [16].
Although both methods are capable of selecting regions of interest for massively-parallel sequencing, one may certainly be more appropriate than the other depending on the experimental goal.
Although both methods are capable of accurately measuring TC content, differences in the thermal profile and optical measurements result in different operational definitions for the EC that is measured.
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