Sentence examples for modeling approach such from inspiring English sources

Thus, design/analysis of prismatic joints calls for a multi-energy domain modeling approach such as bond graph for reusability of the model in different application scenarios.

Compared with the well-studied time-varying signal modeling approach (such as the Hidden Markov Models, HMMs [31]), the VQ is a lightweight modeling approach and has not the ability to model complex time series.

No-analog bird communities could arise in these areas for a number of reasons not captured by our distribution modeling approach, such as differential rates of upslope migration for different bird species, as well as for the individual plant or invertebrate species that they may rely upon for nesting or for food.

In contrast, LCA methods initially use a probabilistic modeling approach (such as finite mixture modeling) to identify the likely distributions with the data and the likely placement of individuals within those distributions.

RBF predictors in SCCS can be replaced by other modeling approach (such as improved intelligent algorithms, fractal models, and statistics models) as an alternative choice in different application situations.  .

The use of a spatially explicit land use change modeling approach, such as Markov-CA approach, provides ways for projecting different future scenarios.

Latent topic modeling approaches such as Latent Semantic Analysis (LSA) [1, 2], Probabilistic Latent Semantic Analysis (PLSA) [3], and Latent Dirichlet Allocation (LDA) [4] are the most recent techniques.

Well-known crop modelling approaches such as APSIM8 [19], AquaCrop9 are considered here as expressing or being a sub|-model of the "trait variation forecast integration".

Because of inherent limitations, modelling approaches such as transition matrices and stand-table projections are no longer recommended to predict stand development in species-rich forests, except where the stand data are available only in summarized form (Vanclay 1994, p.55).

Saduria entomon [60], [61]), could be investigated by expanding the species representation and climate forcing in some existing multi-species modelling approaches such as Multi-species Virtual Population Analysis [62], Ecopath [27], stochastic time-series methodologies [8], and Bayesian Multi-Species Functional Response models [57], [66].

In this study, we compared global modeling approaches such as partial-least-squares regression (PLSR), lasso, ridge regression with several locally-weighted PLSR (PLSRLW) approaches.