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Since the coupling effects help the proposed model improve its performance, it is found that the prediction score is better than with the traditional uni-directional method.
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In particular, a better physical understanding to the interaction mechanism of different liner combinations may be expected with the help of the proposed model.
However, owing to the high complexity of the theoretical controller, a practical controller design procedure is developed with the help of the proposed model reduction algorithm.
With the help of the proposed model, we demonstrate difficulty in model identification among spatial random walk models and suggest that the identification procedure be planned and carried out with a great deal of caution.
Moreover, a genome characterization of Clonopsis, which unfortunately is not available, would better support our hypothesis, and a fine FISH hybridizing technique, such as "chromosome painting", would also help in supporting the proposed model.
The test of our models based on actual fault data collected over a period can help correlate the proposed models' behaviour with the present simulation results.
A case study shows that the proposed model helps not only to achieve rational allocation of expert resources, but to promote positive competition among experts.
Results show that, tri-generation is more cost effective than the separate production for all studied scenarios, and the proposed model helps to determine the right operational strategy, and the right system design for any given demand profile.
The proposed model can help on development of deepwater SLWR A&R design and analysis.
We will add this contingency into the proposed model to help explain the relationship between quality management practices and innovation.
The proposed model can help in designing effective and efficient flexible return policy depending on the various criteria.
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