Sentence examples for substantially more robust from inspiring English sources
This is similar to the iPhone app Shapewriter but this system is substantially more robust and very powerful.
While both perform comparably in clean condition, the cortical features are substantially more robust on noisy data, including non-stationary distortions as well as reverberation.
Furthermore we show, that owing to the stabilizing effect of the sputtered ZTO cap, ZAZ is substantially more robust than ZTO/Ag (ZA).
It was recognized that a slight augmentation of structural damping would result in substantially more robust control without decreased performance and could guarantee the stability margin for any structural frequency increase.
However, the use of two loops within an interwoven loop design was shown to be substantially more robust to missing arrays and statistically more efficient relative to a common reference design.
It is evident that the sulfur gold linkages in DTC-SAMs are substantially more robust than those in thiol SAMs.
Most notably, it was the only species in the genus to have forelimbs that were longer than the hindlimbs, due to a substantially longer and more robust humerus (yielding an intermembral index of 113), as well as more curved phalanges (finger and toe bones).
Simulations confirm that the proposed scheme performance is substantially improved and more robust if the effects of the signal steering vector mismatches and the interference to noise ratio are considered in the beamformer design which is based on expert knowledge.
These results demonstrate that by co-immobilizing the Pd nanoparticles and CALB into the same cavities of the support, a substantially more efficient and robust DKR can be achieved.
Whilst the climatic data submitted to the model is less precise, substantially more points are submitted providing more robust correlations.
Our ability to analyse seasonality in time series data has improved substantially in recent decades, with more robust and flexible statistical models now available to capture the complexities of the data [ 13].
