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Brain registration was performed using the Computational Morphometry Toolkit (CMTK, http://nitrc.org/projects/cmtk) and registration parameters were selected based on Marquart et al., 20153.
Six key control parameters were selected based on the results of the sensitivity analysis and a review of the literature on wall performance.
California was selected as the research region and PEV parameters were selected based on the early deployed vehicles available in the emerging commercial market.
The pinhole parameters were selected based on these analyses, and we verified the simulation results through experimental tests of three types of collimators (general purpose, high sensitivity, and high resolution).
Optimized parameters were selected based on highest desirability.
Electrospinning parameters were selected based on our previous study [24].
Similar(38)
Adjustable parameters are selected based on one or more of the following criteria: (1) choose a parameter which can be classified as more sensitive than others through sensitivity analysis; (2) choose a parameter which has relatively small acceptable range; or (3) choose a parameter through which other rate constants can be determined.
In this contribution, an algorithm is presented in which uncertain parameters are selected based on their linear- independence to one another, their sensitivity towards state variables, and their sensitivity towards a user-defined process objective function.
Nevertheless, the yield criterion parameters are selected based on the temperature of the heated tools.
After the initial screening, sensitive parameters are selected based on the sensitivity analysis.
The sample set of parameters was selected based on the analysis of both approaches for extraction.
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