Sentence examples for modeling parameters need from inspiring English sources

In order to simulate the performance of these materials as plasmonic materials, the modeling parameters need to be found out.

These model parameters need to be estimated from measurements for the considered propagation environment.

In addition, the performances corresponding to different model parameters need to be further researched.

Very few model parameters need to be fit based on the design specifications reported in the literature.

When completely different model parameters were imposed for CuO from that of Al2O3, the model agrees well with the data; however, the model then lacks comprehensiveness because different model parameters need to be determined for different types of nanofluids.

Under this model, the GLRT-based detectors suffer from additional performance loss, because the rotation incurs different Doppler shifts in the individual cells and too many model parameters need to be estimated from the received data corrupted by strong clutter.

A portion of them such as material constants can be measured or estimated, whereas some of the model parameters need to be established through granulation experiments and subsequent fitting to the model.

Therefore, four model parameters need to be adjusted to depict the respective experimental results in detail: the total methane potential S (mL g− 1 VS), the ratio of rapidly degradable substrate to total degradable substrate α, and the two first-order reaction constants for the degradation of rapidly degradable substrate kF (d− 1) and slowly degradable substrate kL (d− 1) components.

Model comparison methods involve two steps: first the model parameters need to be inferred from the available data, and then the adequacy of each calibrated model needs to be assessed.

Limitations are imposed only by measurement technology, the need for resilient models of the system under study and the processes by which model parameters need to be translated into clinically meaningful values.

The difference in the absolute predicted and observed reduction is likely the result of the accumulated uncertainties when estimating the extent to which model parameters need to be changed in the mutants based on incomplete or contradictory experimental measures.