A comparison of machine learning methods for automated gamma-ray spectroscopy

Author:

Kamuda Mark,Zhao Jifu,Huff Kathryn

Funder

National Nuclear Security Administration

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference13 articles.

1. M. Rawool-Sullivan, J. Bounds, S. Brumby, L. Prasad, J. Sullivan, Steps toward automated gamma ray spectroscopy steps toward automated gamma ray spectroscopy: How a spectroscopist deciphers an unknown spectrum to reveal the radioactive source.

2. M. Kamuda, C.J. Sullivan, An automated isotope identification and quantification algorithm for isotope mixtures in low-resolution gamma-ray spectra, Radiat. Phys. Chem.

3. Comparison of algorithmic and machine learning approaches for the automatic fitting of gaussian peaks;Abdel-Aal;Neural Comput. Appl.,2002

4. Determination of radioisotopes in gamma-ray spectroscopy using abductive machine learning;Abdel-Aal;Nucl. Instrum. Methods Phys. Res. A,1996

5. Artificial intelligence methods applied for quantitative analysis of natural radioactive sources;Medhat;Ann. Nucl. Energy,2012

Cited by 42 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. Machine learning framework for predicting uranium enrichments from M400 CZT gamma spectra;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2024-11

2. Spectrum is a picture: Feasibility study of two-dimensional convolutional neural networks in spectral processing;Microchemical Journal;2024-10

3. A novel methodology for gamma-ray spectra dataset procurement over varying standoff distances and source activities;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2024-10

4. Hybrid convolutional neural network approach for optimizing automatic identification of natural isotopes in gamma ray environmental sample spectra;Neural Computing and Applications;2024-08-07

5. FPGA-based fast bin-ratio spiking ensemble network for radioisotope identification;Neural Networks;2024-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3