Hybrid Machine Learning Approach for Fast Localization and Identification of High-Z Materials in Muon Tomography. Chunyu Gao

Name: Hybrid Machine Learning Approach for Fast Localization and Identification of High-Z Materials in Muon Tomography. Chunyu Gao
Creator: chunyu gao
Published: 2025-05-16T13:38:35.727Z
Keywords: Nuclear Engineering

gao, chunyu; Tang, Xiuzhang; Chen, Xinnan

doi:10.17632/ktt6yjfwdh.1

Hybrid Machine Learning Approach for Fast Localization and Identification of High-Z Materials in Muon Tomography. Chunyu Gao

Published: 16 May 2025| Version 1 | DOI: 10.17632/ktt6yjfwdh.1

Contributors:

chunyu gao, Xiuzhang Tang, Xinnan Chen

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The dataset is the original data obtained based on the muon tomography facility, where each txt file is the position information of the muon on each layer of the detector every 10 seconds.

Hybrid Machine Learning Approach for Fast Localization and Identification of High-Z Materials in Muon Tomography. Chunyu Gao

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