Sentence examples for explored the robustness of from inspiring English sources

The present study explored the robustness of this finding using the same task but under different conditions.

Hence, we explored the robustness of machine learning algorithms included in this study by introducing different levels of artificial noise to the datasets and measuring the performance of each method (Table 1).

We explored the robustness of our findings by repeating this analysis with all patients missing CTX data being re-defined as having received CTX and, separately, as having not received CTX.

This would result in an additional concept of robustness that could be explored: the robustness of attractors to stochastic shifts outside of their attractor basin as a result of the stochastic binding of gene products.

We also explored the robustness of our results to variation within families by repeating the analysis at the genus level, which entailed a severe pruning of our dataset (only 19 genera, constituting 299 species, contained ≥ 10 species) but which produced qualitatively identical results (not shown).

Bullinger and coworkers explored the robustness of models of programmed cell death or apoptosis [16] while Stelling et al., computationally identified points of robustness and fragility, using monte-carlo sensitivity analysis and Overall State Sensitivity Coefficients (OSSCs), in models of circadian rhythm [17].

We also conducted a series of sensitivity analyses to explore the robustness of our results to various assumptions.

Here we explore the robustness of convolutional neural networks to perturbations to the internal weights and architecture of the network itself.

The designed controller was compared with error-based Adaptive controller to explore the robustness of the proposed controller in nonlinear real time application.

We show results for a number of objects designed to explore the robustness of our algorithm, its ability to fill gaps in the reconstruction, and its attainable level of detail.

We proceed by numerically exploring the robustness of our analytic results when departing from the neutral assumption of identical colonization probabilities across species.