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The study provides novel empirical results from the above mentioned modelling approach, with important lessons for the developing world.
The physically relevant random field based uncertainty modelling approach with spatial correlation is adopted in this paper on the basis of Karhunen-Loève expansion.
The Reynolds Averaged Navier Stokes (RANS) modelling approach with the SST-k ω turbulence model and the DiSST-k ωturbulenceadiation model (DTRM) wandused for the investigations.
The results are based on a modelling approach with several limitations, including: The model did not consider situations where V was co-administered with the second MMR dose (either as MMR + V or MMRV) if it was not co-administered with the first MMR dose.
A fuzzy chance-constrained modelling approach with core philosophies of fuzzy expected value model and fuzzy chance-constrained programming is used in this paper.
A decomposed modelling approach with separate energy-flow, energy-integration and economic models are coupled with a multi-objective optimisation strategy.
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"We're using a non-semantic neural topic modeling approach with a heuristic function for hierarchy building," says Schjøll Brede.
We compared the proposed hybrid modeling approach with respect to the KF and augmented KF/FOS approaches.
A simplified material modeling approach with the Neo-Hookean material model was applied, and nonlinear geometry was accounted for.
The Reynolds averaged Navier Stokes (RANS) modeling approach with the k ε turbulence model was used for the numerical investigations.
We will employ a crystal viscoplasticity modeling approach with slip system level isotropic and kinematic hardening variables to capture anisotropic and asymmetric effects.
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