Identification of low-count, low-resolution gamma spectral radionuclide using 2DCNN-BiLSTM neural network

Identification of low-count, low-resolution gamma spectral radionuclide using 2DCNN-BiLSTM neural network

To address the challenges of feature extraction and low classification accuracy in low-count, low-resolution gamma spectra with emerging nuclide identification methods, we proposed a novel approach using a two-dimensional convolutional bidirectional long short-term memory neural network (2DCNN-BiLST...

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Bibliographic Details
Main Authors: Shu-Xin Zeng, Rui Shi, Guang Yang, Xian-Guo Tuo, Xiong Zeng, Ya-Nan Shang, Zhou Wang, Heng Zhang
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Nuclear Engineering and Technology
Subjects:
Low-count
Low-resolution
2DCNN-BiLSTM
Radionuclide identification
Online Access:http://www.sciencedirect.com/science/article/pii/S173857332500422X
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