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A new didactic and simple methodology based on flow graph theory is introduced in this article.
This method involves a character story based on flow graph that can be used to conduct sub-story discovery in the movie by analyzing video segments with respect to the character histogram [9].
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A graph-clustering method based on flow simulation (Markov chain graph clustering, MCL) was used to identify clusters in this network that correspond to the sets of coexpressed genes.
MCL is based on flow simulation in the graph and in an unweighted graph the clustering results depend only on its topology.
Markov clustering (MCL) [ 12] is a graph clustering based on flow simulation, which has been applied to detect functional modules through simulating random walks within a graph.
An extensive small-signal analysis of a voltage-mode controlled interleaved dual boost (IDB) converter operating in continuous current mode based on signal flow graph approach is proposed.
The different steps of the algorithm will now be discussed in details based on the flow graph in Figure4. Figure 4 Flow diagram of the algorithm for introducing sleep modes and cell zooming in a network.
The alternative transforms are all based on the flow graph shown in Figure3 but use different rotation angles in the second stage.
Based on the flow graphs, we calculate the correlation coefficients on various properties for individual or multiple applications.
Using a small set of powerful constructors, HIDE allows hardware designers to describe and assemble highly efficient circuits from high level geometrical descriptions based on Signal Flow Graphs (SFG).
MCL algorithm, an efficient, unsupervised, and accurate graph clustering approach based on graph flow simulation [24], was applied to group genes that may share a common biological function.
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