Research output

1. Methods of machine learning for the analysis of cosmic rays mass composition with the KASCADE experiment data

   Research output: Contribution to journal › Article › peer-review

2. Search for optimal deep neural network architecture for gamma ray search at KASCADE

   Research output: Contribution to journal › Conference article › peer-review

3. Towards mass composition study with KASCADE using deep neural networks

   Research output: Contribution to journal › Conference article › peer-review

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