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Then, we employ both models to study the problem of anatomical reentry in heterogeneous cardiac tissue.
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In this article, we study the problem of generating new models of SSS from existing models.
Abstract: We study the problem of model-free dependence detection.
We study the problem of model checking Interval-valued Discrete-time Markov Chains (IDTMC).
In this work, we introduce diffusion models that incorporate detection events and target nodes, and study the problem of mitigating attacks through optimal early detection.
We model this scenario as an attacker-defender security game and study the problem of finding optimal intrusion detection thresholds.
The first model to study this problem, which consists of 3 nodes, is introduced by Van der Meulen [1].
With the Dutch EASYcare Study Geriatric Intervention Programme (DGIP) we developed a model to study effectiveness of problem based community intervention models in frail elderly people.
Another challenge in using evolutionary models to study social norms is that there is a potential problem of representation.
In this paper, we studied the problem of detecting the information source in a heterogeneous SIR model with sparse observations.
A finite element model has been created to study the micromechanics of the problem.
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