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Unfortunately, these expansion approaches are very memory- and time-consuming.
Besides these combinations, architecture expansion approaches for system optimization are introduced.
In addition, the underlying Gaussian random field is often generated by series expansion approaches (e.g. spectral representation method), which require a sum of infinite terms.
However, these expansion approaches are module-based methods that focus on identifying modules (or groups) of additional genes to one gene [24] or a group of genes with a fixed topology [25].
Both physical models and network expansion approaches focus heavily on the chemical properties of the metabolic network and do not directly consider the genetic component of a metabolic network.
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Both rideshare platforms have a starkly different global expansion approach.
In particular, our results are related to the expansion approach.
In this paper, we consider the spectral expansion approach.
We introduce an expansion approach to obtain the elastic free energy density in rubber elasticity.
It is important to keep in mind that this supercell expansion approach is a special case: the simplest one.
This work proposes a low power and high throughput implementation of AES algorithm using key expansion approach.
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