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Model parameters were easily estimated from correlations and obtained by conducting single-component batch experiments.
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Both the parameters are easily measurable with inexpensive instrument such as global positioning system (GPS).
The structure and parameters are easily transformed into the initial knowledge of intelligent models.
The model is recommended for further process developments and reactor optimization, its parameters being easily adaptable for every type of P2Ox.
One of the advantages of this model is that its parameters are easily adjusted to one or several location-specific N2O measurements.
The regulator parameters are easily configured to solve the output regulation problems, and to ensure the stability of the closed-loop systems.
Although all these parameters are easily accounted by a finite element analysis at the local level, the failure is also influenced by macrostructural quantities.
These crop parameters are easily assessable through microwave remote sensing and therefore they can form the basis for prediction of pest remotely.
Hence, the line parameters are easily available.
These parameters are easily modifiable since the proposed circuit is scalable.
The obtained algebraical criteria, which can be directly derived from the network parameters, are easily testable.
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