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These countries also track movements of suspicious individuals abroad and networks with both local and foreign connections.
Dynamical networks with both time-varying coupling delay and node delay are considered.
Considering the following neural networks with both time-varying and distributed delays: (21).
The impulsive control method is developed to stabilize a class of neural networks with both time-varying and distributed delays.
In this problem, it needs to embed virtual networks with both node and link demands into a shared physical network.
Here we evaluate the macroscopic diffusivity of grain boundary networks with both randomly distributed and crystallographically correlated grain boundary character.
This paper considers the global output convergence of Cohen Grossberg neural networks with both time-varying and distributed delays.
This work may have practical implications for designing traffic networks with both reasonable budget and good performance.
Motivated by the above discussion, in this paper, we will investigate the impulsive stabilization for a class of neural networks with both time-varying and distributed delays.
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A model to generate two social networks synthetically, with both networks coevolving, capturing the properties of both networks is introduced in [22].
The main refineries at Ufa, Ishimbay, and Salavat are linked by a pipeline network with both regional oil fields and those of the republic of Tatarstan.
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