Neural style transfer is a computational framework that merges the content of one image with the artistic style of another, utilising deep learning techniques to generate novel visual outputs.
The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...
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