Ontologies can act as computational models and provide us with certain type of automated reasoning.
Finally, numerical experiments are conducted to illustrate and validate the proposed models and provide managerial insights.
First, in Section 2, we present the signal and communication models, and provide a general framework for distortion analysis.
When a start up focuses on viable revenue models and provide a valuable, long term service from inception everyone wins – users, businesses, investors and the overall economy.
In this paper, we report on the evaluations of the candidate models and provide details of the algorithm that was used to derive the IGRF-12 product.
Narayan et al. (2008) estimated structural vector autoregressive (SVAR) models and provide similar evidence of the growth hypothesis following among developed (G7) countries.
Several RE approaches and tools follow these high level models and provide step-by-step guidance and support (e.g. EasyWinWin [6,17]).
They also examined the case where user responses to choice queries are error-prone (using both constant and mixed multinomial logit noise models) and provide worst-case guarantees.
Moreover, it may reduce the computational complexity and storage, improve the efficiency of virtual sensing models, and provide insight for knowledge discovery.
We estimate the accuracy of the RO models and provide recommendations concerning the number of degrees of freedom (DOF) required to reach a desired accuracy.
The use of as few as two reacting tracers cna distinguish between the models and provide a reasonable approximation of the temperature profile in each case.
