Sentence examples for by increasing the model from inspiring English sources

Exact(5)

By increasing the model order, the density of the zeros near the unit circle is increased accordingly, and hence the frequency resolution in the tonal components frequency range improves without sacrificing high-frequency residual spectral flatness.

Additional data, such as absence of the taxon, would certainly improve model-training by increasing the model's ability to discriminate between presence and absence areas.

However, given the similarity of our models with that of Tiedemann et al., we are certain that by increasing the model's dimensionality and introducing a mRNA degratation rate that is a growing function of k, we would be able to reproduce the observed increase on the oscillation period.

In contrast, simulating acetylated Lys23 by increasing the model KdADP to 79.4 μM, with all other model input variables held constant, dramatically reduced the mitochondrial ATP output.

That threshold was located by increasing the model threshold by increments of 0.1° between 25.0 and 44.7 °C humidex (the maximum humidex within the study time frame).

Similar(55)

Realistic cases were chosen by increasing the model-complexity level: a standard distillation column and an ammonia synthesis plant.

In this research, the end-wall effect was investigated by gradually increasing the model mill length and analysing the charge trajectory and shape variation at given operating conditions (i.e., ball filling, mill speed, liner type).

Thus, the apparent dichotomy between simulations of global-scale hydrologic behavior and actual data cannot be resolved by simply increasing the model complexity of PCR-GLOBWB and resolving sub-grid processes.

Increasing the number of lumps, however, will complicate the model by increasing the number of model parameters [16].

This problem becomes more severe when increasing the model complexity by allowing daily profiles to change with road type (as we do).

We are currently improving the performance of the method for hard template-based targets by increasing the accuracy of model ranking and integrating ab initio modeling with TBM to enhance model generation.

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