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Root hair visibility of scanned images was improved using the GNU Image Manipulation Program GIMPP).
The prediction of the model was improved using the coefficients estimated here with physiologically relevant units.
The estimation accuracy of the statistical model was improved using the virtual input from the tracking simulator.
The solution was improved using the genetic algorithm to find an optimum or a near optimum solution in the second stage.
The overpotential distribution within the porous cathode was improved using the 2.4 cm electrode, and values of 100% (CE), 102 kg m− 3 h− 1 (Y), and 1.7 kWh kg− 1 (EC) were achieved under the optimized conditions.
DeCART multi-group cross section library generation procedure based on the KAERI library generation system was improved using the new alternative procedures based on the Monte Carlo slowing down calculations.
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The CLC de novo contig assemblies were improved using the post-assembly genome improvement protocol, PAGIT [ 12].
It is shown that the detection sensitivity can be improved using the nonlinear oscillation behavior and this improvement is more effective with longer CNTs.
Thus, the DC band SI can be improved using the information brought by subsequent bands.
In all three solutions, the classification accuracy is improved using the DCN tuned parameters.
Re-identification process can be improved using the information obtained from the previous tag identification process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com