On simulated gamma spectra, convolutional and dense neural networks beat template matching at close range, but the dense network overfits and fails at 8 meters.
A comparison of machine learning methods for automated gamma-ray spectroscopy,
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A Comparison of Adaptive and Template Matching Techniques for Radio-Isotope Identification
On simulated gamma spectra, convolutional and dense neural networks beat template matching at close range, but the dense network overfits and fails at 8 meters.