Abstract: Conventional microwave imaging algorithms excel in scenarios involving only single scattering, but often encounter imaging artifacts when processing higher order scattering. Previous studies ...
Abstract: Gradient descent algorithms are widely considered the primary choice for optimizing deep learning models. However, they often require adjusting various hyperparameters, like the learning ...
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