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We repeat the same experiment for the heavisine signal, using the same set of parameters.

On the other hand, Fig. 11 b shows the results of the same experiment for a 20% failure rate.

The mean performance of random seed selection is shown in red. Figure 3 replicates the same experiment for (text {OAS}_{text {tg}}).

Even better is to actually estimate a model covariance function, using, for example, many trials from the same experiment for a robust estimate.

We also repeated the same experiment for DSDV by assuming with results depicted in Table 2. Difference of in the estimated result over seconds is acceptable if we consider the dynamic nature of wireless medium in ad hoc networks.

Repeating the same experiment for four generic representations, we conclude that 4144-dimensional output-based representAlexNet(AlexNet based and VGG-VD-19 based) perform better than the other two.

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Simulation results showed that the lifetime of the network with the scheme is improved 30% compared with the LEACH algorithm under the same experiments for LEACH.

We also performed the same experiments for the coverages of two and three reads.

Next, we conducted same experiments for the proposed approaches in θ-based nearest neighbor search (Table 4).

Therefore, we carried out both detailed carbon balance and biomass composition analysis in the same experiments for more accurate quantitative analysis of metabolism and MFA.

As smFRET is compatible with large proteins, we were able to repeat the same experiments for the same PxFG region within the full-length Nup153FG (601 amino acids), finding similar characteristics, and suggesting that our truncated Nup153FGPxFG largely retains the conformational sampling from within the whole Nup153FG.

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