Predicting Subsurface Abnormalities Growth using Physics-Informed Neural Networks
This research presents a detailed development framework for a specialized PINN model, proficient at interpreting and forecasting GPR data, much like how medical imaging models predict tumor behavior, by integrating physics directly into the neural network.