Sentence examples for based on model parameters from inspiring English sources

A commonly used clustering method for point data was NnH (n = 4), which determines clusters as standard deviational ellipses based on model parameters such as the specified threshold distance and minimum number of points to be included.

This chapter demonstrates the use of powerful software tools that reliably give a kinetic model of decomposition behavior of compounds such as Butadiene-1, 2 and a nitro aromatic residue based on DTA/DSC measurements at a range of different heating rates, allowing to calculate the adiabatic induction time for different temperatures based on model parameters.

We developed an open-population model that estimated the number of subjects at each stage of treatment based on model parameters for GIST incidence, proportion of unresectable/metastatic GIST and survival estimates for GIST patients.

The major limitation of the study is the face validity of the model structure and the structure's inherent assumptions on treatment pathways; however, this study presents a model, understood as a simplified and imperfect description of reality, which estimates the number of subjects at each stage of GIST treatment, based on model parameters available from the literature.

Seventeen treatment groups represented the items of care undertaken by NHS primary care dental providers in 2011/12 as shown in Table  2, and simulation suggests that the total amount of clinical time required to undertake all these treatments based on model parameters was 19.3 million hours.

Therefore, we estimated the structure based on model parameter estimation examining which structures could reliably reproduce the experimental data with respect to the signal amplitude and duration of the signaling molecules.

In addition, the precision of the proposed method is demonstrated by calculating the correlation between the I V characteristic curve based on modeling parameters and the I V curve actually measured employing the least-squares method.

The core of the PID intelligence is adaptive process modeling based on model switching and parameter interpolation.

In terms of microarray intensity data the method was applied to compare individual differences based on ANOVA model parameters between all pairs of bacterial groups under a global error model.

The L-curves are based on the model parameters obtained using the (L_1) norm solution.

Hence, the SAD may be determined based on the model parameters without considering the sign of the SPR value itself.