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In opportunistic networking, characterizing contact patterns between mobile users is essential for assessing feasibility and performance of opportunistic applications. There has been significant efforts in deriving this characterization, based on observations and trace analyses; however, most of the findings arise from studying contact opportunities at large spatial and temporal scales. Moreover,...
The geometric framework based on Stochastic Relaxation allows to describe from a common perspective different model-based optimization algorithms that make use of statistical models to guide the search for the optimum. In this paper Stochastic Relaxation is used to provide theoretical results on Estimation of Distribution Algorithms (EDAs). By the use of Stochastic Relaxation we show how the estimation...
Relative risk estimation is one of the most important issues in the study of geographical distributions of disease occurrence or disease mapping. For the case of dengue, there are only a few studies that use statistical methods to estimate the relative risk for disease mapping. Therefore this research will introduce an alternative method to estimate the relative risk of dengue occurrence based initially...
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