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A comprehensive in-silico platform, which includes appropriate numerical tools for fitting, could contribute to iontophoretic drug-delivery devices design and correct dosage and drug clearance profiles as well as to perform much faster in-silico experiments to better determine parameters and performance criteria of iontophoretic drug delivery.
We obtain the relationship of material parameters and performance parameters.
Statistical correlation between local parameters and performance is computed by Bayesian networks method.
These method is utilized to develop a relation between input parameters and performance characteristics.
DVFS can also be optimized by adding some specific parameters and performance can be enhanced.
○ Insights into the relationship between various system as well as workload parameters and performance are described.
Both quantitative and qualitative analytical methods were implemented using statistical parameters and performance plots respectively.
Sensitivity analyses were conducted to investigate the effect of operational parameters and performance indicators.
Based on technical parameters and performance requirements, the project planning, design drafting, and manufacture were conducted.
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Table 4 summarizes the switching parameters and performances of the ZnO-based transparent RRAM (TRRAM).
In this experimental study, the design parameters and performances of counterflow vortex tubes are investigated.
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