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The CLC de novo contig assemblies were improved using the post-assembly genome improvement protocol, PAGIT [ 12].
Scaffolds were then generated using SSPACE2 [ 62], which were subsequently improved using the post assembly genome improvement toolkit (PAGIT) pipeline [ 63].
Re-identification process can be improved using the information obtained from the previous tag identification process.
Section 5 shows how motion smoothing is improved using the proposed algorithm of multiple motion models.
Root hair visibility of scanned images was improved using the GNU Image Manipulation Program GIMPP).
In all three solutions, the classification accuracy is improved using the DCN tuned parameters.
Thus, the DC band SI can be improved using the information brought by subsequent bands.
Note that these performances can be improved using the most recent XBee modules.
In this algorithm, a population of randomly generated initial solutions is improved using the CS algorithm.
Experimental results show that edge quality is significantly improved using the proposed methods.
The parallax error and penetration ratio were significantly improved using the proposed MP collimation design.
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