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It is expected that the proposed steady-state model, parameter estimation and optimization methods can be utilized to optimize and design modem-type FCC processes under full and partial combustion modes.
Identifying the maximum productivity can be utilized to optimize the cost of the operation.
The proposed model can be utilized to optimize the magnetic separation process while treating paramagnetic minerals.
The simulated results agree well with experimental observations, and the model can be utilized to optimize the galvannealing parameters.
The present FE model was proved to be accurate sufficiently as compared with theoretical and experimental result, which can be utilized to optimize key geometric parameter-twisting manner.
It is therefore proposed that the predictive technology using FEA can be utilized to optimize the tyre reinforcement turn-up effect in future tyre design.
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Such objective perceptual quality metrics can then be utilized to optimize quality perception associated with applications in technical systems.
Using this approach, observed data is utilized to optimize the model provided a rational basis for parameter refinement can be justified and parameters are maintained within the realm of biological plausibility.
Statistical experimental design was utilized to optimize this adsorption process.
NSGA II is utilized to optimize the design.
The desirability function technique is utilized to optimize the responses.
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