" r? Let X~= X and Y~= Y for t = 1, 2 . . . . . X, ,= ~ X ~ and !1, = Y~. Let S be any set, cg = {w(. 1" I s ) lseS} t = l t = l n be a set of (a x 2) stochastic matrices w( ' l ' ls) , and St=S , t= 1 . . . . . n. For every sn=(s 1 . . . . . s " ) e H S t n t = l define P (. ]" Is.) by P (y.[x.ls.) = I~ w (yt]x~lst) for every x. = (x a . . . . . x")~ X . and every y. = (yl, ... , y.)e 11.. t =...

In network analysis, a community is typically considered of as a group of nodes with a great density of edges among themselves and a low density of edges relative to other network parts. Detecting a community structure is important in any network analysis task, especially for revealing patterns between specified nodes. There is a variety of approaches presented in the literature for overlapping...

Electricity price predictions have become a major discussion on competitive market under deregulated power system. But, the exclusive characteristics of electricity price such as non-linearity, non-stationary and time-varying volatility structure present several challenges for this task. In this paper, a new forecast strategy based on the iterative neural network is proposed for Day-ahead price...

This paper deals with the effect of fiber aspect ratio of steel fibers on shear strength of steel fiber reinforced concrete deep beams loaded with shear span to depth ratio less than two using the artificial neural network technique. The network model predicts reasonably good results when compared with the equation proposed by previous researchers. The parametric study invol...

In this article, we study the problem of distributed hypothesis testing over a network mobile agents with limited communication and sensing ranges to infer true collaboratively. particular, consider scenario where there is an unknown subset compromised that may deliberately share altered information undermine team objective. We propose two algorithms each agent maintains updates sets beliefs (i...