Sentence examples for strong inaccuracy from inspiring English sources

However, the PSD-based method exhibits a strong inaccuracy especially in the cognitive radio context.

In contrast to the instantaneous interference tables, we have shown through this evaluation that the PSD modeling exhibits a strong inaccuracy with respect to the numerical results.

Furthermore, simulation and instantaneous tables results shown in Figure 18 validate the accuracy of the proposed interference model while the PSD-based tables still present a strong inaccuracy with respect to simulation results especially in the cognitive radio context where the noise level becomes negligible compared to the asynchronous interference caused by MU1.

Two simulation strategies are adopted: the differences in the flutter mechanism between such two approaches are taken as an indicator of possible strong inaccuracies.

It is also demonstrated that strong inaccuracies in the pulse shape prediction are obtained if the wave propagation through the lines typically used in this type of circuits is simulated by a simple Transverse Electromagnetic Mode (TEM) line model.

We have left the former intact, but we have seen concerns with the latter, and we have considered arguments for a stronger claim, Brier Inaccuracy, though these also face difficulties.

For both phantom and animal experiments, the changes in image quantitation due to strong attenuation map inaccuracies were less than about 5%, except for 125I (worst case approximately 10%), which can be attributed to 125I attenuation that is more prominent.

Politicians have grown used to harsh onscreen treatment, having learned that there is a degree of latitude for inaccuracy and strong protection against libel suits.

I will focus on a particular condition that Joyce places on measures of inaccuracy, namely, Strong Convexity (Joyce calls it Weak Convexity, but I change the name in this presentation because, as Patrick Maher (2002) points out, it is considerably stronger than Joyce imagines).

Since seismic waves attenuate with distance from the seismic source, the difference between the weighted center of the asperity distribution and that of the estimated slip deficit distribution may cause an inaccuracy in predicting strong ground motion by a future earthquake.

Investigation of this inaccuracy identified a strong bias toward G and C SNP calls in lower parasitemia samples.