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Found 3 papers, 2 papers with code
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs
Our recent intensive study has found that physics-informed neural networks (PINN) tend to be local approximators after training.
Utilising physics-guided deep learning to overcome data scarcity
Deep learning (DL) relies heavily on data, and the quality of data influences its performance significantly.
MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks
Nowadays, multiple classification methods from medical imaging make use of TL from general-purpose pre-trained models, e. g., ImageNet, which has been proven to be ineffective due to the mismatch between the features learned from natural images (ImageNet) and those more specific from medical images especially medical gray images such as X-rays.
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