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In this paper, we propose a method for computing invariant global descriptors from CNNs.
Here we propose a method for this purpose.
We propose a method of analysis of this knowledge.
We propose a method to characterize at the strain level samples containing complex mixtures of S. cerevisiae.
Herein, we propose a method to register subject-specific microstructural data to an arbitrary cardiac phase using measured cardiac displacements.
Therefore, we propose a method for constructing approximations of Zeno models by leveraging the completed hybrid system model.
Here, we propose a method for symmetry representations and elastic redundancy for members of tensegrity structures.
We propose a method that is based on two established modern techniques.
We propose a method for solving the div-curl problem on a structured nonorthogonal curvilinear grid.
We propose a method to generate high-order unstructured curved meshes using the classical Winslow equations.
So, we propose a method which uses SWT.
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