Yanyan Hu
Yanyan Hu
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EM
Robust progressive learning For GPR full waveform inversion
Self-regularized training scheme and use augmented training dataset to improve the stability of the DNN model
Deep learning enhanced joint imaging
Model-to-model deep learning joint imaging framework using U-Net
RNN-based wave propagation simulation
Equivalent implementation of recurrent neural network (RNN) for simulating wave propagation using FDTD
Physics-driven deep-learning inverse solver for subsurface imaging
Incorporating the forward modeling as the regularization to train the network
PINN for EM simulations
A Maxwell’s equations based deep learning method for time domain electromagnetic simulations
Supervised decent learning for LWD inverse problems
Learning the descent directions offline during the training process
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