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In more recent years, increasing numbers of rational choice theorists have backed away from claims that their approach is capable of explaining every political phenomenon.
However, the approach is capable to perform 14.04 ± 1.78 calculations per second.
Therefore, the proposed approach is capable of significantly reducing peak demand at the media server.
A Hadoop MapReduce [12] approach is capable of using data locality for efficient task scheduling.
The results simply show that proposed approach is capable to find good clusters.
It is found that the proposed approach is capable of resolving weakly nonhydrostatic shallow water flows.
Experimental results demonstrate that this approach is capable of localising in large-scale outdoor environments.
This approach is capable of incorporating process intensification options at an early design stage.
Our experiments suggest that the proposed approach is capable of handling complex dynamic real scenes offline.
Numerical experiments indicate that this approach is capable of optimizing the problem in acceptable computation time.
The outcomes show that the proposed approach is capable of improving tunnel reinforcement design.
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