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Deep Learning Approaches for Dynamic Mechanical Analysis of Viscoelastic Fiber Composites
The increased adoption of reinforced polymer (RP) composite materials, driven by eco-design standards, calls for a fine balance between lightness, stiffness, and effective vibration control.
On the use of Wasserstein metric in topological clustering of distributional data
This paper deals with a clustering algorithm for histogram data based on a Self-Organizing Map (SOM) learning.
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