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Many studies use hydroponic models to simplify testing.
In this paper, we introduce financial factor models to simplify the correlation assessment problem.
In this paper, a novel approach is proposed to exploit trimming information in CAD models to simplify their geometry.
Standard approaches to gene network evolution have used haploid models to simplify the dynamics [ 31- 38].
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Furthermore, assumptions are made on the underlying model to simplify things: (7a).
First, we employ the equivalent model to simplify the filament bundles.
In addition, all loads can be aggregated into an equivalent load model to simplify the ASF model.
Our proposed method was experimentally proved to be stable and used the texture model instead of color model to simplify our systematic procedures efficiently.
The simplified model proposed by Lu et al. was converted into a multi-linear model to simplify the calculations (see Fig. 8b).
It is necessary to consider more statistics so as to get a more accurate and stable model to simplify the CU splitting.
Although this conversion is not linear, most studies prefer to using pixel disparities when conducting visual discomfort modeling to simplify algorithm design [7, 13 16, 25].
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