The phrase "approach can model" is correct and usable in written English.
It can be used when discussing a method or strategy that has the capability to represent or simulate a particular phenomenon or system.
Example: "This new theoretical approach can model the complex interactions within the ecosystem effectively."
Alternatives: "method can simulate" or "strategy can represent".
The CFB modelling approach can model a compliant mechanism linearly and nonlinearly, can obtain displacements of any points of the rigid stages, and allows external forces to be exerted on any positions of the rigid stages.
Without the need for kinetic parameters, the discrete modeling approach can model and simulate larger networks, given the abundant qualitative interaction maps of biological systems that are available.
We also demonstrate that the multiscale level-set approach can model immiscible two-phase flow with a capillary number as low as 10−6.
Significant parameter fittings were produced for all models, demonstrating that the GC SCM approach can model the impact of carbonate on uranium in flow systems.
Our experiment results demonstrate that our approach can model real-world reflectance with both high accuracy and high visual fidelity for real-time virtual environment rendering.
In an evidential reasoning context, a group consensus (GC) based approach can model multiple attributive group decision analysis problems with GC requirements.
Since the model parameters are time-varying, our approaches can model non-stationarity and heteroscedasticity of temporal data.
Network approaches can model vast networks of gene interactions that modulate disease [ 19, 20, 24].
Reputation systems in WSN require a good rating approach that can model the information on the behavior of nodes in a way that represents different sources of this information.
Recently, Perez-Enciso et al. [ 13] have developed software combining a mixed model methodology and a maximum likelihood approach, which can model the specific X chromosome features in a QTL analysis.
Further research is required to assess whether alternative MI procedures or fully Bayesian approaches that can model the skewness of the covariate distribution and the missing data mechanism may be more appropriate when there is more than 25% missingness.
