Sentence examples for model that augments from inspiring English sources

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This paper reviews the literature and then applies power transformer case studies to develop a risk assessment model that augments the probabilistic capabilities of Reliability-centred maintenance (RCM).

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The study aimed at evaluating a new group of nonlinear models that combine the forecasting capabilities of MLP and RBF type neural networks with GARCH type volatility models and that augment LSTAR type nonlinear econometric time series models proposed by Luukkonnen et al. (1988) and Terasvirta (1994).

Furthermore, it is important to incorporate an appropriate theoretical model that can develop and augment the strengths and assets of the target group within intervention design [ 10].

Several model groups are evaluated: (i) the models proposed in the first group are the LSTAR-LST-GARCH models that are augmented with fractional integration and asymmetric power terms (FIGARCH, APGARCH, and FIAPGARCH); (ii) the models proposed in the second group are the LSTAR-LST-GARCH models further augmented with MLP and RBF type neural networks.

In a transgenic mouse model, a truncated form of p53 that augments wild-type p53 activity enhanced resistance to spontaneous tumor development; however, these mice exhibited premature aging phenotypes (Tyner et al., 2002).

Since individuals are clustered in geographical regions, group-specific random frailty term,, was introduced to augment the Cox model, that is, 2 The above model indicated that childhood survival was influenced by both individual-specific factors and group-specific environmental factors.

The left-field experiments being tried at the end of another draining season will either augment the established, imperfect model that has nonetheless served the game well enough for decades or collapse in acrimony.

This bicycle type model is augmented to form a dynamic model that considers an actuation of the four wheels.

This multi-input multi-output neuronal model is augmented with a forward, or observation model that describes the mapping from neural activity to observed responses.

Next a robust model matching problem is solved to design a post-filter that augments the performance of the geometric filter over the set of uncertain plants.

(Human capital doesn't count, as that augments labour income).

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