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The python code used for the numerical examples in the paper "Reconstructing anisotropic conductivities on two-dimensional Riemannian manifolds from power densities". A preprint of this paper is available on arXiv: https://arxiv.org/abs/2202.12056.
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The python code used for the numerical examples in the paper "Conductivity reconstruction from power density data in limited view". A preprint of this paper is available on arXiv: https://arxiv.org/abs/2202.12370.
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The python code used for the numerical examples in the paper "Jacobian of solutions to the conductivity equation in limited view". A preprint of this paper is available on arXiv: http://arxiv.org/abs/2207.03849.
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OpenMMLab's next-generation platform for general 3D object detection.
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Training code for https://github.com/rcdaudt/fully_convolutional_change_detection
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On uncertainty estimation in active learning for image segmentation code
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