Real-time gamma-neutron discrimination with a trainable polynomial kernel

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Authors

HLAVINKA Matyáš MATĚJ Zdeněk ČULEN Jiří KRÁL Jan PŘENOSIL Václav

Year of publication 2025
MU Faculty or unit

Faculty of Informatics

Citation
Description The creation of two designs for real-time computation kernels that allow parallel processing of a support vector machine decision function. They were specifically made for working with sampled scintillation responses. The results prove that it is better to continue with linear support vector machines as well as showing it is a suitable method for real-time neutron gamma discrimination.
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