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The optimized parameters were successfully determined by BBD.
The optimization process parameters were successfully employed for degradation crude oil and confirmed through confirmatory experiments.
In addition, four groups of optimum operating parameters were successfully validated.
Influences of laser power on shaping feature were investigated by experiments and optimal process parameters were successfully achieved.
Amplitude dependent, constant stiffness parameters were successfully identified for a multiple-degree-of-freedom (MDOF) nonlinear reduced order model.
At first, we applied auto PO regression models to EQ3-3.9, and parameters were successfully estimated, whereas parameters of NB based GARX did not converge.
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It is demonstrated that with this methodology the identification of the boundary conditions and crystal plasticity parameters is successfully achieved.
A predictive model to prepare stable solid spray dried amorphous ABT-102 nanoparticles, incorporating both formulation and process parameters, was successfully developed using multiple linear regression analysis.
System parameters are successfully estimated for both harmonic and step responses using theory and measurements, and the dynamic force measurements are analyzed using analytical predictions.
The optimal condition of design parameters was successfully determined by using the Taguchi method, and it was shown to maximize the healing of bone fractures.
For a Mars van Krevelen model, kinetic parameters are successfully estimated by minimization of an objective function with the use of a genetic algorithm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com