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By updating the coefficients of prediction periodically, the model efficiently captures the evolution of streamflow forecast.
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The model can efficiently capture flow evolution and vortex generation for random geometry and variable boundary conditions.
The three-dimensional model can efficiently capture the salient features of the physical phenomena at the rail armature interface, and contribute to the development of the armature design.
We examined how close the estimated execution time is to the actually observed one for different applications in order to prove that this prediction model can efficiently capture the required parameters for estimating the workload's makespan and budget.
Nevertheless, Boolean modelling can efficiently capture the required dynamics of a GRN and has been successfully applied in the past to model various biological phenomena, such as cellular differentiation and embryo development (Davidich and Bornholdt, 2008; Davidson et al., 2002; Li et al., 2004; Smith et al., 2007).
Furthermore, a novel exploratory method for producing drift models that efficiently capture trends and drifts in the fMRI data is introduced.
Then, 2-D flame-turbulence interactions are considered, spanning a wide range of velocity and length scale ratios, to demonstrate the ability of PC-based combustion models to efficiently capture the behavior of different combustion regimes, from flamelet-like flames to distributed reaction regimes.
Our method to model temporal changes in CCI efficiently captures the changes in comorbidity over time with a small number of regression analyses to perform.
Our method to model temporal changes in CCI efficiently captures changes in comorbidity over time with a small number of regression analyses to perform – which would be impossible with tradition time to event analyses.
This chapter presents the design, implementation, and initial performance evaluation of a hybrid performance modeling framework called Countach, which faithfully and efficiently captures application behavior while predicting system performance.
This paper presents a reduced-order modeling technique to efficiently capture the nonlinear dynamic responses of the blisk damper systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com