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For optimization of this process response surface methodology (RSM) was utilized where two-level-two-full factorial (22) central composite design (CCD) has been employed.
Non-parametric testing was utilized where sample sizes were insufficient to confirm normality of data distribution.
Additionally, proximity word searching was utilized where it was deemed appropriate.
The substrates, as a whole, were then covered with a thin (few nm) film of a teflon-like (C4F8) polymer to ensure hydrophobicity; to do this, a modified Bosch/RIE process was utilized, where solely the passivation mode was activated.
A "war room" approach to managing change was utilized where the senior staff met daily after completing their usual duties to discuss and create the emerging plan for transforming the center.
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In addition, to protect the sensitive information, hybrid clouds are utilized where sensitive data are stored in private cloud.
A nonlinear low-level dynamical model is utilized, where realistic response delays in certain modes of operation are considered.
In the proposed method, a kind of nonlinear generalized predictive controller (GPC) is utilized where the model is achieved using an adaptive intelligent system.
When we implement the Bayesian inference Eq. (4), importance sampling technique is utilized, where the density is represented by samples from the associated distribution.
The dynamic contact analysis has been utilized where contact surface model (target and contactor) has been applied without any connectors between the adjacent buildings.
An adaptive neuro fuzzy classifier is utilized where the designing of membership function and rule base are the two important aspects.
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CEO of Professional Science Editing for Scientists @ prosciediting.com