Lower-Weight Landmine Detection Under Various Buried Conditions Based on PGNAA and Machine Learning-Reference-Cited by-同舟云学术

Lower-Weight Landmine Detection Under Various Buried Conditions Based on PGNAA and Machine Learning

Published:2022-07-11 Issue:12 Volume:208 Page:1847-1857
ISSN:0029-5450
Container-title:Nuclear Technology
language:en
Short-container-title:Nuclear Technology

Author:

Xu Zixu¹,Qu Guofeng¹²,Yan Min¹,Shen Su¹,Huang Yu¹,Zhang Xin¹,Chen Lei¹,Liu Xingquan¹,Han Jifeng¹^ORCID

Affiliation:

1. Sichuan University, Institute of Nuclear Science and Technology, Key Laboratory of Radiation Physics and Technology of the Ministry of Education, Chengdu, 610064, China

2. Johannes Gutenberg-Universität Mainz, Helmholtz Institute, 55099 Mainz, Germany

Funder

Sichuan Science and Technology Program

International Visiting Program for Excellent Young Scholars of Sichuan University

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295450.2022.2076489

Reference36 articles.

1. “MINESWEEPERS”; http://www.landminefree.org/2017/index.php/support/facts-about-landmines (current as of Mar. 17, 2022).

2. “International Campaign To Ban LANDMINES”; http://www.icbl.org/en-gb/problem/why-landmines-are-still-a-problem.aspx (current as of Mar. 17, 2022).

3. P. KENNY, “Landmines Killed 7,073 in 2020, Says UN Institute,” Anadolu Agency; https://www.aa.com.tr/en/world/landmines-killed-7-073-in-2020-says-un-institute/2417253 (current as of Mar. 17, 2022).

4. Landmines, Explosive and Remnants of War and IED Safety Handbook, Chap. 1, p. 11, United Nations Mine Action Service, New York (2015).

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