Brass Material Analysis With Deep-Learning-Based CdTe Semiconductor X-Ray Fluorescence System
Author:
Affiliation:
1. Health Science Research Center, Korea University, Seoul, Republic of Korea
2. School of Health and Environmental Science (Transdisciplinary Major in Learning Health Systems, Graduate School), Korea University, Seoul, Republic of Korea
Funder
National Research Foundation of Korea (NRF) granted by the Ministry of Science and ICT (MSIT) of the Republic of Korea through the Nuclear Safety Research Program
Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korean Government [Ministry of Trade, Industry and Energy (MOTIE)]
Korea University
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/ielx7/23/9777895/09750045.pdf?arnumber=9750045
Reference23 articles.
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3. Isotope-source, energy-dispersive XRF analysis of geological materials using gas-filled proportional counters: signal deconvolution using simulated peak shapes
4. An inter-comparison of three spectral-deconvolution algorithms for gamma-ray spectroscopy
5. A procedure for overlapping deconvolution and the determination of its confidence interval for arsenic and lead signals in TXRF spectral analysis
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