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Found 3 papers, 2 papers with code
Deep Learning based Intelligent Coin-tap Test for Defect Recognition
This paper further develops transfer learning strategies for this issue, that is, to transfer the model trained on data of one scenario to another.
Local neural operator for solving transient partial differential equations on varied domains
For demonstration, LNO learns Navier-Stokes equations from randomly generated data samples, and then the pre-trained LNO is used as an explicit numerical time-marching scheme to solve the flow of fluid on unseen domains, e. g., the flow in a lid-driven cavity and the flow across the cascade of airfoils.
A Study on Evaluation Standard for Automatic Crack Detection Regard the Random Fractal
In CovEval, a different matching process based on the idea of covering box matching is adopted for this issue.
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