An Ensemble Approach to Computationally Efficient Radiological Anomaly Detection and Isotope Identification-Reference-Cited by-同舟云学术

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An Ensemble Approach to Computationally Efficient Radiological Anomaly Detection and Isotope Identification

Published:2022-10 Issue:10 Volume:69 Page:2168-2178
ISSN:0018-9499
Container-title:IEEE Transactions on Nuclear Science
language:
Short-container-title:IEEE Trans. Nucl. Sci.

Author:

Lee J.¹^ORCID,Cooper R. J.²,Joshi T. H.²^ORCID,Bilton K. J.¹^ORCID,Raji D. M.³^ORCID,Bandstra M. S.²^ORCID,Vetter K.¹^ORCID

Affiliation:

1. Nuclear Engineering Department, University of California, Berkeley, Berkeley, CA, USA

2. Applied Nuclear Physics (ANP) Program, Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA, USA

3. Nuclear Engineering Department, University of Tennessee, Knoxville, TN, USA

Funder

Defense Threat Reduction Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

http://xplorestaging.ieee.org/ielx7/23/9923559/09861332.pdf?arnumber=9861332

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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