What an ontology would do is to act like a requirements bank that provides methodology independent accessibility requirements that could then be used to extrapolate, on demand, conceptual models for a variety of implementations driven by a variety of methodologies.
What is most different about these cases (there are also models for a variety of phones) is the number of ways they can be stuck to various surfaces.
In a similar manner, the real numbers provide satisfactory models for a variety of phenomena, even though no physical quantity can be measured accurately to more than a dozen or so decimal places.
The development of control-relevant models for a variety of biomedical engineering drug delivery problems is reviewed in this paper.
This type of equations has been proposed as models for a variety of physiological precesses and conditions including production of blood cells, respiration, and cardiac arrhythmias; see [1 5].
They are used as models for a variety of phenomena in the life sciences, population biology, computing sciences, economics, etc.; see, e.g., [6, 10, 15].
Results of this study will be helpful in selection of accurate and simple explicit approximate GA models for solving variety of hydrological problems.
In this paper, a new method is proposed to easily establish simple and accurate PRB models for a variety of beam-based compliant mechanisms.
The first systematic thermodynamic study of such models is that of Rajagopal and Srinivasa [1], within which models for a variety of rate type viscoelastic fluids can be obtained.
Solving differential equations are able to define models for a variety of pattern recognition [1] and primarily function approximation problems, applying genetic programming techniques [2] or an artificial neural network (ANN) construction [3].
