Sentence examples for prediction of resource from inspiring English sources

Essays carried out over a set of 80 programs from varying sources yielded numerically significant evidences that the prediction of resource usage similarity obtained by the approach is consistent with experimentally measured runtime profile.

We show that the algorithm is reasonably robust to inaccurate prediction of resource utilisation rate, which is difficult to estimate in cases such as spot application of herbicide for weed control, and validate its performance in simulation using realistic scenarios with up to 30 robots.

This is expected, since both techniques apply prediction of resource usage into the future, but without taking prediction uncertainty into account.

For the age variable, based on the prediction of resource dependence theory, the longer an enterprise survives in the market, the more likely it is for them to become a source of resources that other enterprises depend on and, as a result, more likely to constitute interlocking directorate relations.

Resource use in the ICU depended more on the need for specific costly treatment modalities during the ICU stay than on the extent of organ failure at ICU admission; the prediction of resource use is therefore not possible at the time of admission.

Conflict is represented by competing objectives, while uncertainty accrues due to imprecision in the estimation and prediction of resource-allocation consequences, to disagreement among experts about those consequences, and to unpredictable future environments of the system.

Second, we use queueing analysis to adjust resource allocations based on predictions of resource requests for interactive services.

Our results show that aggression encourages less competitive mice to adopt a scramble competitive strategy through temporal partitioning and provides empirical evidence for the predictions of resource defence theory.

First, making long-term predictions of resource demand can increase stability and overall performance of a cloud.

In this paper, a new approach to make long-term predictions of resource demands of virtual machines for host overload detection is presented.

For overload or underload host detection, long-term predictions of resource usage are made, based on Gaussian processes as a machine learning approach for time series forecasting.