Sentence examples for most models presented from inspiring English sources

Most models presented for granular matter are phenomenological and are only suitable for solving engineering problems.

The most flexible models presented in this paper extends the times series model by Kim et al. (2008).

In most cases models presented in the literature are not used at all, because the possibility of applying them is typically limited by several obstacles.

Most FBRM models presented in the literature assume that an FBRM records a geometric chord which can be deduced from a two-dimensional projection of the particle silhouette.

To date, most predictive models presented in literature, have been built from calibration databases made up of both Vis-NIR imaging spectra (predictor variables) and soil properties (response variables).

For most of the models presented here the potential arborization locations 𝒜 u for a neuron are defined relative to the location u of the soma of that neuron and are determined by a connectivity function (5) where a single arborization location a i, u ∈ 𝒜u, a i, u ∈ ℝ.

For this, pyrene radical (4-pyrenyl) is chosen as the model molecule, as most soot models present in the literature employ the reactions involving the conversion of 4-pyrenyl to 4-phenanthryl by O2 and OH to account for soot oxidation.

Moreover, most of the analytical models presented in the literature assume that the network operates in saturated traffic conditions.

Besides, most of the analytical models presented in the literature assume that the network operates in saturated traffic conditions.

Most conservation reserve design models presented in the literature are static and ignore the dynamic economic aspects of site selection.

Most of the solubility models presented above generate a "U-shaped" solubility curve over a sufficiently wide range in sulfide concentration (e.g., see Fig. 1).