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In [26], the so-called interacting multiple model method has been extended to predict the state of the mobile for indoor applications by considering multiple fixed environment parameters at the expense of an increase in the number of random processes, whereas the technique herein relies on continuous parameter adaptation.
The SMAC head model method has been successfully used in several previous clinical and experimental studies (e.g. Michel et al., 2004; Phillips et al., 2005; Brodbeck et al., 2009, 2010; Groening et al., 2009; Vulliemoz et al., 2009, 2010; Siniatchkin et al., 2010) and produces localization precisions that are comparable with realistic boundary element models (Guggisberg et al., 2011).
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On the other hand, the SNP effects on protein functions were inferred by modelled structures because the molecular modelling method has been found useful for estimating the effects of the substitution of amino acid residues on protein function.
Recently a novel shape prior modeling method has been proposed based on sparse learning theory.
The filter parameters are estimated by using the LC theory in which an advanced parametric modeling method has been implemented.
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Combining ELM and MPLS, the new modeling method has the advantages of both MPLS and ELM, which reduces the dimension, handles the nonlinear and shows more rapid training speed.
Our database modelling method has five steps, as described below.
The transfer function based equivalent modeling method has been widely used in equivalent modeling for power systems.
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The proposed equivalent modeling method has been employed to build the aggregated model for a simulation system and a real WF.
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