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In a so-called semantic network, conceptual entities such as objects, actions, or events are represented as a graph of linked nodes (Figure 4).
Given that limitation, the expected power generated from a particular wind turbine is estimated from a wind speed power curve derived for each turbine, usually represented as a graph showing the relation between power generated (kilowatts) and wind speed (metres per second).
Such network topologies are typically represented as a graph.
Each STM was represented as a graph and the structure identified.
There are many different ways a metabolic network can be represented as a graph (Fig. 1b).
The query can be represented as a graph pattern (Q_0) shown in Fig. 1.
An example of an arbitrary network represented as a graph is shown in Fig. 2.
In this paper, first it is shown that this problem can be represented as a graph model.
A particular strength of our method is its applicability towards any input domain which can be represented as a graph.
Finally, the corresponding discrete reconfiguration planning problem is represented as a graph whose nodes correspond to feasible RCDPR reconfigurations.
The landscape is represented as a graph network and fire propagation time is modeled as the Stochastic Shortest Path problem.
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