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Using data fitting or automatic parameters estimation techniques for building data-driven models of elements of the nervous system, in particular neurons, is becoming more and more popular [45], [56] [62].
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The geometric and semantic modeling of elements is the next step; this level of model construction uses geometric primitives and data models either established or adapted to the objective in question.
The extensions of the topology optimization method in this first part include coupled and non-linear finite element analyses, constitutive modelling of elements with intermediate densities, adjoint sensitivity analyses and formulation of optimization problems with multiple constraints.
What we are proposing here is a model of elements for consideration by designers of, and participants in, workplace-based learning in the context of multimorbidity in primary care.
Assembling all of the dynamic models of these elements based on the finite element method, the global dynamic model of system can be obtained [28].
Moreover numerical modeling of element tests yields several solutions.
The 3D finite element analyses (FEA) were performed with the appropriate modeling of element size and mesh, and the constitutive modeling of concrete.
Associated with this, we intend to improve the accuracy of TinT analyses by introducing an asymmetric model of element activity, whereby elements will not necessary reach their highest probability of activity at the center of their activity range.
First, mathematical models of fundamental elements in a web process line are presented.
The adaptability to different network topologies, different causes of oscillations and different models of dynamic elements that exist in reality.
Different techniques and tools currently exist to generate three-dimensional models of small elements, buildings and cities.
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