Sentence examples for preserving the robustness from inspiring English sources

The harnessed power is higher than a single isolated square cylinder while preserving the robustness for the remote harvesting purpose.

The so-derived second order accurate schemes achieve high resolution while preserving the robustness of the original nonoscillatory first order accurate scheme.

The proposed controller offers short response time with low damping and deals efficiently with the external disturbances while preserving the robustness properties.

He proclaimed: "Under the guise of speech codes, and safe spaces, and trigger warnings, these universities have tried to restrict free thought, impose total conformity and shut down the voices of great young Americans". Clearly, the message being conveyed here had less to do with preserving the robustness of debate on campuses than about protecting certain voices in that debate.

Without resort to the texton-based representation, our method directly encodes the joint information in the space and frequency domains while preserving the robustness to image rotation, illumination, scale and viewpoint changes.

Simulated results show that the fractional order controller is more robust than the PI and the PID controllers when the gain of the plant changes but preserving the robustness when time delay varies.

The approach preserves the robustness of the original finite-volume Saint-Venant solver, in particular for the treatment of wetting/drying and equilibrium states.

Mobile capable WiMAX described in the Mobile WiMAX standard[2] uses a somewhat different frame structure in order to preserve the robustness of the connection in highly mobile situations.

We showed that inclusion of controls is important to preserve the robustness of the full cohort data against model mis-specification.

This approach should preserve the robustness of the models, as a reflection of real life, while keeping the sample consistent in estimating the four algorithms.

Therefore it is of utmost importance to (i) use highly predictive models (adjusted for known risk factors and confounders), and (ii) preserve the robustness of the models by adhering to the principle of parsimony.