Gamma-ray anomaly detector for airborne surveys based on a machine learning methodology-Reference-Cited by-同舟云学术

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Gamma-ray anomaly detector for airborne surveys based on a machine learning methodology

Published:2023-02 Issue: Volume:257 Page:107086
ISSN:0265-931X
Container-title:Journal of Environmental Radioactivity
language:en
Short-container-title:Journal of Environmental Radioactivity

Author:

Dess Brian W.,Small Gary W.

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,General Medicine,Environmental Chemistry

Reference21 articles.

1. Experiences with area specific spectrum stripping of NaI(Tl) gamma spectra;Aage;Radiat. Protect. Dosim.,2006

2. A new technique for processing airborne gamma ray spectrometry data for mapping low level contaminations;Aage;Appl. Radiat. Isot.,1999

3. Spectral deconvolution and operational use of stripping ratios in airborne radiometrics;Allyson;J. Environ. Radioact.,2001

4. Nuclear Physics in a Nutshell;Bertulani,2007

5. Pattern Recognition and Machine Learning;Bishop,2006

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Synergism of Fuzzy Numbers and Data Smoothing for Abrupt Change Detection in Gamma-Ray Measurements;2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA);2023-07-10

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