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The present paper studies an optimum design method for proposing new types of fiber reinforced composite plates with locally anisotropic structure.
Summary: Mauve Contig Mover provides a new method for proposing the relative order of contigs that make up a draft genome based on comparison to a complete or draft reference genome.
This is another popular method for proposing that requires her to find the ring, and then you do the proposing.
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For type (i) predictions the method is useful for proposing new target genes.
Then, the vehicle type recognition method for the proposed multiple sensor network is applied.
In Section 4, we introduce a two-step splitting method for the proposed model.
The support vector machine has been used as recognition method for the proposed feature extraction scheme.
Therefore, we need to find a different optimization method for our proposed model.
Top: recognition rate for proposed method.
Table3 shows the similar measures for proposed method.
In the following, we generalize these learning methods for the proposed MSCHMM architectures.
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