Sentence examples for model containing both from inspiring English sources

This study presents a novel full 2D hydro-morphodynamic model containing both bedload and suspended load capability.

For the proposed system, we construct a novel actuator fault model containing both linear and nonlinear terms which is more general than the conventional actuator fault models.

Here, based on the AICc value, the first model containing both the discretionary and ordinary variables, together with spatial lag, has been identified as the model most justified by data, also referred to as the AIC 'best-ranked' model.

Formally, the partial F-statistic for the second variable is computed by: f_{2} = frac{{{text{SS}}_{text{R}} (beta_{2} |beta_{1},beta_{0} )}}{{{text{MS}}_{text{E}} (x_{2},x_{1} )}} (7 where MSE (x 2, x 1) denotes the mean square error for the model containing both (x_{1}) and (x_{2}).

The method is based on a genetic model containing both the direct effects and maternal effects of an endosperm QTL and on an experimental design termed two-stage hierarchical design, in which the trait information is obtained from F3 endosperms and molecular marker information is obtained from F2 plants and F3 embryos (plants).

In this study, a coupling model containing both vapor-compression cycle and water heater was established, in which model of vapor-compression cycle was developed in MATLAB to obtain the heat flux boundary condition for helically coil and then the two-dimensional flow and heat transfer of water tank was simulated by CFD.

This reflectivity model contained both horizontal and inclined layers.

The mesoscale model contains both geometric as well as material nonlinearity.

This model contains both primitive actions as well as macro-operators that are derived from the plan cases.

The system model is split into subsystems and the overall model contains both dead-time delay, first order dynamics, static nonlinearities, temperature dependency and combined saturation.

When the probabilistic model contains both continuous and discrete variables and the dependencies between them are both deterministic and stochastic, it is advantageous to apply the BP and MF algorithms in those parts of the factor graph where they are most suitable.