Sentence examples for simple modeling methods from inspiring English sources

Furthermore, some general techniques like bias field utilizing skill, fast driving and simple modeling methods etc. are available to more research fields beyond the limitations of giant magnetostrictive injector.

Further, the PWL modeling technique can lead to much smaller model order without accuracy loss, which translates to significant savings in both the simulation time and the time required to identify the reduced models compared to the simple modeling method by using the high order models.

Simpler modeling methods (e.g., HOMA2) use paired fasting plasma insulin and glucose concentrations to derive data on β-cell function and insulin sensitivity.

Simple nonlinear modeling methods widely used as well as those with more detailed modeling representations are investigated and compared.

Cox models with four predictive factors (age, disease state, CD4 cell count and hemoglobin levels) were used to estimate predicted individual hazards both for single trials and for various MIPD modeling methods (simple pooling, adjusted for study, stratified per study, fixed and random effects for predictors).

In this paper, a simple and direct modeling method of a three-phase VSC under unbalanced grid voltage is proposed.

In this paper, a simple and direct modeling method is proposed for a three-phase VSC taking the unbalanced grid voltage as a new variable for the system.

Compared with traditional methods, the general method is adapt to any rheological model of annular laminar flow, and has good universality, simple modeling process and high accuracy.

Traditional methods that looked for associations between gene expression and gene body CG methylation (which find a positive correlation between the two), and modeling methods as applied here followed by only analysis of the simple linear terms (which finds a negative correlation) come up quite short in portraying the role of gene body CG methylation in transcriptional regulation.

Modeling methods include regression-based approaches and selection models.

Urban modeling methods have traditionally followed a forward modeling approach.