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Found 3 papers, 1 papers with code
Fusing Sparsity with Deep Learning for Rotating Scatter Mask Gamma Imaging
Many nuclear safety applications need fast, portable, and accurate imagers to better locate radiation sources.
Mixture Proportion Estimation Beyond Irreducibility
The task of mixture proportion estimation (MPE) is to estimate the weight of a component distribution in a mixture, given observations from both the component and mixture.
Improving Radioactive Material Localization by Leveraging Cyber-Security Model Optimizations
With four and eight detector arrays, we collect counts of gamma-rays as features for a suite of machine learning models to localize radioactive material.
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