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Many computational models available in the industry have been developed from either forward or inverse modeling approaches.
Many computational models have predicted that large electromagnetic (EM) fields localized at the junction between metal structures [7, 8].
In recent years, many computational models have been proposed to mimic the mechanism of selective visual attention.
To assist with the correct design of buildings, many computational models have been developed to assess the transient heat, air, and moisture (HAM) transfer within building walls.
For example, conventional digital hardware is made from components that are SCAs and many computational models possess the essential features of SCAs, including systolic arrays, neural networks, cellular automata and coupled map lattices.
Therefore, many computational models dissect the RNA folding problem into two steps: from sequence to two-dimensional (2D) structure and from 2D structure to three-dimensional (3D) structure, where a 2D structure is defined by base pairs including tertiary cross-linked base pairs such as kissing base pairs.
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There have been many computational haplotyping models [ 6- 8] and they can be grouped into two main classes: haplotype inference and haplotype assembly [ 6].
This same technique may be applied to many other computational models.
Many other computational models have also taken this approach [18, 25, 26], with a separation of timescales thought to be necessary for the observation of self-organised critical dynamics [23].
Many proposed computational models have focused on the biomechanical aspects of impedance control [13], [14] or have provided ways to reproduce accurately observed co-activation patterns for specific experiments [4], [15].
Beyond cancer data analysis many generic computational models of data integration have been proposed.
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many economic models
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