Transfer learning reuses existing ML models for new tasks, speeding up development and enhancing performance. It reduces data requirements for training ML models on new tasks, facilitating quicker ...

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 ...

This type of learning transfer opens the door for applying basic cognitive science research to help patients with vision loss. Many brain training games claim to improve mental performance, but a ...

Plan comparisons: Clinical radiotherapy plan for an adrenal cancer case (left) and a plan predicted by the transfer learning model (right). The predicted plan achieves comparable quality to the ...