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Found 2 papers, 1 papers with code
Ground-based Image Deconvolution with Swin Transformer UNet
As ground-based all-sky astronomical surveys will gather millions of images in the coming years, a critical requirement emerges for the development of fast deconvolution algorithms capable of efficiently improving the spatial resolution of these images.
Machine Learning Based Forward Solver: An Automatic Framework in gprMax
General full-wave electromagnetic solvers, such as those utilizing the finite-difference time-domain (FDTD) method, are computationally demanding for simulating practical GPR problems.
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