Inverse Parameter Detection of RF Exposure Using Convolutional Neural Networks Trained on FDTD-derived SAR Profiles
We present a machine-learning framework for inverse RF exposure reconstruction, using convolutional neural networks (CNNs) trained on SAR profiles generated via finite-difference time-domain (FDTD) simulations.
RFradiofrequencymachine learning