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Results showed that SDMs can successfully be applied to model weed occurrence over a small region.
These advantages make it easy to be applied to model based control system design.
The principles of engineering tolerancing can also be applied to model the variability of a process or function.
This method could also be applied to model transients in linear materials or networks of non-linear electrical elements.
Our approach can be applied to model choices of risk reduction mechanisms such as extended warranties, demonstrations, and sampling.
Elastohydrodynamic lubrication theory can be applied to model such spreading of microbicide gels, which are inherently non-Newtonian [13,15].
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The same principle of pluralism that applies to minds must also be applied to models.
The temporal difference learning method combines the advantages of Monte Carlo methods and dynamic programming, can be applied to model-free, ongoing tasks, and has excellent performance.
For example, they can not be applied to models with time-dependent covariate effects included.
They can be applied to models with parameters estimated using maximum likelihood methods.
This function can also be applied to models that were created with other applications and already existing kinetic equations.
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