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Found 5 papers, 1 papers with code
ECToNAS: Evolutionary Cross-Topology Neural Architecture Search
We present ECToNAS, a cost-efficient evolutionary cross-topology neural architecture search algorithm that does not require any pre-trained meta controllers.
Viscoelastic Constitutive Artificial Neural Networks (vCANNs) $-$ a framework for data-driven anisotropic nonlinear finite viscoelasticity
These popular models are simplifications that typically cannot accurately capture the nonlinear viscoelastic behavior of materials.
Ultrasound Shear Wave Elasticity Imaging with Spatio-Temporal Deep Learning
The results show that our approach can estimate elastic properties on a pixelwise basis with a mean absolute error of 5. 01+-4. 37 kPa.
A homogenized constrained mixture model of cardiac growth and remodeling: Analyzing mechanobiological stability and reversal
We propose a novel microstructure-motivated model that predicts organ-scale G&R in the heart based on the homogenized constrained mixture theory.
What do cells regulate in soft tissues on short time scales?
Cells within living soft biological tissues seem to promote the maintenance of a mechanical state within a defined range near a so-called set-point.
