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Continuously stirred biofilm reactors (CSBRs) are useful model units in modeling a variety of different types of biofilm reactors.
Dynamic equations on time scales have an enormous potential for modeling a variety of applications; see, for example, the monograph by Bohner and Peterson [1].
An SOM is a type of Artificial Neural Network (ANN) based on a competitive learning approach for clustering and modeling a variety of databases.
Each of these functions has been frequently studied in the past, and/or has potential for use in modeling a variety of practical engineering problems.
The DAPGF and OZGF responses are attractive because they exhibit certain characteristics suitable for modeling a variety of auditory data: level-dependent gain, linear tail for frequencies well below the center frequency, asymmetry, and so forth.
This paper presents an overview of a scaling analysis for a reduced scale Gas Reactor Test Section capable of modeling a variety of important phenomena in a Very High Temperature Gas Reactor.
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In biology, business, management science, computer science, and law, game theory has been used to model a variety of strategic situations.
Genetically engineered mice have been generated to model a variety of neurological disorders.
The Gardner equation has been investigated in the literature because it is used to model a variety of nonlinear phenomena.
Lewis' theory of convention applies to a more general class of games than pure coordination games, but pure coordination games already model a variety of important social interactions.
The Nakagami-m distribution is a versatile statistical distribution able to accurately model a variety of fading environments by selecting a proper value for the fading parameter m≥1/2 [8].
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