Sentence examples for models can explicitly from inspiring English sources

The research initiative presented in this paper demonstrates that hydro-economic models can explicitly integrate all these issues, constituting a valuable tool that could assist policy makers for implementing sustainable irrigation policies.

Individual based models can explicitly develop these networks with more characteristic features of real human populations.

Because ParFlow solves the groundwater and surface water systems simultaneously, the coupled management model can explicitly incorporate groundwater surface water interactions into management decisions.

Compared with the classic percolation theory, which is particularly applicable to 3D-infinite bulks, the model can explicitly capture the effects of thinly layered nature of composite electrodes, and describes a cross-over between 2D-infinite films and 3D-infinite bulks.

First, simultaneously with the determination of the multivariate profile of characteristics that describe a group, the methodology determines the degree to which each case is described by that profile, which means that the model can explicitly represent the heterogeneity of individual cases in any derived classification scheme.

These models can present explicitly the patterns of agent's behaviour, micro interactions and are not limited to drive equations of a system or representing general statistical models (Boulaire et al. 2015).

Neural networks and mathematical models can express explicitly that there will be no malaria transmission below a certain temperature.

By using differential equations, these models can represent explicitly the dynamics of malaria infection, mosquito populations and human susceptibility.

One of the advantages of this type of models is that they can explicitly model interventions or external road safety measures and campaigns.

The adapting bump model can be explicitly written as: <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0002173.e015.PNG" class= inline-graphic"/> where l(t) is the latency distribution we want to estimate and the lower limit of integral is taken to 0 – causality - and the upper limit to 80–120 ms, where the impulse response dies out.

Unlike in RES neurons, resonant frequency of the RF model can be explicitly set as a parameter and we used this property to test if resonance can "tune" the oscillation frequency of the network.