Sentence examples for task is robust from inspiring English sources

Specifically this paper shows how to design stochastic iterative learning control systems such that the networked-system with a repetitive task is robust stable against measurement and process noises and independent, intermittent output channel dropouts.

Results suggest that the task is robust in distinguishing populations of biology experts and novices and represents a useful tool for probing emerging biology conceptual expertise.

Results suggest that this novel task is robust in distinguishing populations of biology experts and biology novices and may be an adaptable tool for tracking emerging biology conceptual expertise.

Demand for highly educated workers who excel in abstract tasks is robust, but the middle of the labor market, where the routine task-intensive jobs lie, is sagging.

While the number of animals tested for this study was low, their performance in olfactory discrimination and visuospatial learning tasks was robust and significant.

Thus, the correction technologies are useless when the classification tasks are robust to class imbalance.

Furthermore, Van Opstal and Verguts (2011) have argued that the numerical distance effect in the same different task is highly robust to differences in stimulus probability.

Available research suggests the Iowa Gambling Task is a robust test of complex emotional socio-executive processes involved in motivational decision making, which can analogue real-world goal-directed behaviour.

Results, although not reported and available upon request, are qualitatively identical to the ones found in the previous section, which suggests that the particular definition of routine-intensive tasks used in this paper is robust to alternative definitions of routine tasks used in other studies.

Whilst the attention measures used in the current study had face validity with regard to task, and were robust to use in an extreme environment, the audio task may have been susceptible to a ceiling effect.

As already discussed in the previous section, Bayesian Neural Networks is a supervised non-linear model, which has several advantages [ 35] when applied to classification tasks: 1) the computational algorithm is robust [ 38], 2) it can learn from the data without any pre-assumption, 3) its non-linear feature can be applied to model any real-world complex relationships.