Sentence examples for mathematical modeling methods from inspiring English sources

This work produced network models of two distinct types: a knowledge-driven network based on a systematic annotation of experimental evidence (the GSN) and a data-driven model that utilizes mathematical modeling methods to infer network features (the MIM).

Various mathematical modeling methods used for dynamic phenomenon of drilling in PMCs and conventional materials have been discussed.

In the literature several mathematical modeling methods, phasor estimation techniques and distance relay algorithms have been reported to mitigate the impact of CCVT subsidence transient.

This paper presents a comprehensive review on mathematical modeling methods of photovoltaic (PV) solar cell/module/array which can be used for power system dynamic modeling purpose.

Emphasizes the usefulness of mathematical modeling methods in providing integrated security construction projects and reduce the risk of the onset of failure.

C-peptide measurements and mathematical modeling methods provide a more accurate characterization of β-cell function (12).

Single-index varying-coefficient model is an important mathematical modeling method to model nonlinear phenomena in science and engineering.

These three methods, i.e. a conventional quenching and image analysis method, calculations using two simplistic solidification models, and a proposed DTA coupled with mathematical modeling method, have been illustrated.

Advantages of using the proposed DTA coupled with mathematical modeling method to determine the solidification curves are demonstrated.

Despite decades of study, the regulation mechanisms and all pathways involved have not been unequivocally determined making this metabolic phenomenon a very attractive one to study and test with the new mathematical modeling method developed in the current work.

Towards analyzing the dynamic behavior of gene networks, a range of mathematical and computational modeling methods have been developed, including Boolean networks, Petri nets, state-charts, ordinary differential equations, and stochastic simulation algorithms [4], [20] [30].