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Our model also has stochastic data arrivals at the source nodes.
This background traffic has been modelled as a stochastic data flow.
This method uses physics-based modeling and uncertainties propagation to create simulated stochastic data.
Utility theory was used to treat the stochastic data and fuzzy set theory was employed to handle the fuzzy data.
Figure 4 Optimal policy for a multi-pair relay channel ( L =3, K =2) with stochastic data arrivals.
Figure 5 Optimal policy for a two-way relay channel ( L =1, K =2) with stochastic data arrivals.
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We developed a stochastic, data-based simulation model of feral swine population dynamics which accounted for social dynamics in space.
In this paper, we develop a stochastic data-worth framework with the purpose of estimating the economic opportunity of subsurface investigation programs.
The goal of this paper is to coordinate PEV discharging considering PEV stochastic mobility data.
We find that our metastate HMM approach enables a stronger HMM-based framework for the identification of complex structure in stochastic sequential data.
For the experiments, they used the JPED corpus and four other contrasting corpora [79], which are Stochastic modelling, Data mining, Parallel processing, and Geology.
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