Sentence examples for modeling approach requires from inspiring English sources

However, the conventional simulation modeling approach requires extensive expertise of simulation during the modeling phase and lacks flexibility when the MHS structure changes.

The presence-absence modeling approach requires that presence and absence locality data be provided in order to model the ecological niche of a species.

The modeling approach requires crack surface displacements, which are calculated by a three-dimensional finite element (3-D FE) analysis performed on a suitable representative volume of the given cracked laminate.

Such a modeling approach requires information about the general structural features and catalytic mechanisms of the associated transporters and enzymes, subcellular metabolic pathways and fluxes and their control mechanisms, and tissue/organ specific metabolic characteristics.

The presence-only modeling approach requires locality data to create a predicted geographic distribution of a species based on environmental parameters that exist where the species is confirmed to be present [14].

Studies of such co-benefits and co-harms involve modeling approaches requiring a range of analytic decisions that affect the model output.

It is a"soft modeling" approach requiring very few distributional assumptions, variables can be numerical, ordinal or nominal, and no need for normality assumptions, while covariance-based SEM is a "hard modeling" with heavy distribution assumptions.

Realizing the potential for integrated modeling approaches requires a coordinated and sustained research effort.

However, the closed-model approach requires restrictive assumptions that limit the generality of a model.

Evolutionary coupling calculations in previous work have indicated that this global probability model approach requires a minimum number of sequences in the alignment with at least 1 non-redundant sequence per residue (Marks et al., 2011; Morcos et al., 2011; Hopf et al., 2012; Jones et al., 2012; Kamisetty et al., 2013).

ODE-based modeling approaches require detailed knowledge about kinetic parameters, some of which can be estimated from literature and some from in silico experiments.