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We now formalize this, using graph models of molecules as labels.
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Entries in are determined using a binary two-hop interference model that is widely used in graph modeling of wireless networks [10, 14, 20] (whereby links within two hops of each other deemed to be mutually interfering).
The proposed strategy uses a graph model of interdependent networks, an enhanced betweenness centrality for cascading failures approximation, and an interdependence model accounting for coupling uncertainty in the simulation of damage propagation for probabilistic performance assessment.
As opposed to single-view codecs, the complexity of the multiview prediction structure and the parallel decoding of several views requires a systematic analysis of this decoding delay, which we solve using graph theory and a model of the decoder hardware architecture.
Though network models are fairly easy to visualize using graphs, direct comparison of two models (for example, transcriptome networks across disease states), and quantitative measurement of the differences between networks, remains challenging.
Using the undirected graph model of this riverscape, we then prioritize segments for conservation purpose.
Using the string graph model of assembly can help avoid this issue.
Using the de Bruijn graph model of sequence assembly requires breaking reads into short k-mers [ 3].
We conduct a review of studies that use graph theory to model connectivity among patches of habitat (patch-based graphs), with the intention of identifying typical research questions and their associated graph construction and analysis methods.
As application, the method is used over the pseudo bond graph model of a continuous stirred tank reactor (CSTR).
For purposes of analysis and development, a network is modeled mathematically using graphs.
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