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pro vyhledávání: '"H. Arahmane"'
Akademický článek
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Autor:
R. Cherkaoui El Moursli, H. Arahmane, Y. Ben Maissa, Abdelhak Mahmoudi, E-M. Hamzaoui, J. Dumazert
Publikováno v:
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
In order to perform a fast and accurate neutron-gamma discrimination, we present in this paper a method based on supervised and unsupervised machine learning that is composed of the following steps. Firstly, we apply nonnegative parallel factor analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7940202cb09db431414dc4d8c6282178
https://doi.org/10.1109/nss/mic42677.2020.9507869
https://doi.org/10.1109/nss/mic42677.2020.9507869
Autor:
Frederick Carrel, Jonathan Dumazert, T. Dautremer, E. Barat, Nicolas Dufour, F. Laine, H. Arahmane
Publikováno v:
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
The paper introduces original Bayesian algorithm developed by the CEA LIST for the measurement of low-activity uranium contaminations using high-resolution gamma-ray spectrometry based on a high purity germanium diode detector. Such measurement indee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36df05e70b46ad0ac507dd198fc194f4
https://doi.org/10.1109/nss/mic42677.2020.9508031
https://doi.org/10.1109/nss/mic42677.2020.9508031
Publikováno v:
Journal of Neutron Research. 20:35-42
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b2f158742ec5faf6e04da1917252d03
https://doi.org/10.3233/jnr-180059
https://doi.org/10.3233/jnr-180059
Publikováno v:
Journal of Spectroscopy, Vol 2019 (2019)
In order to perform highly qualified neutron-gamma discrimination in mixed radiation field, we investigate the application of blind source separation methods based on nonnegative matrix and tensor factorization algorithms as new and robust neutron-ga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edc0f4cdbf85c4c5cfa67a8d66a15d39
Publikováno v:
Measurement. 149:106958
Recent developments of digital signal processing have played an effective role to achieve a fast and accurate neutron-gamma discrimination. Thus, we present in this research work, a novel method which combines supervised and unsupervised machine lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79aaa7b6dfc4043cc2a52eb037fa3f46
https://doi.org/10.1016/j.measurement.2019.106958
https://doi.org/10.1016/j.measurement.2019.106958
Publikováno v:
ATSIP
In this work, we apply Nonnegative Matrix Factorization (NMF) algorithms of the blind source separation methods to extract independent components from signals recorded at the output of fission chamber detector, which is used to perform the flux-mappi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b749bfd8b08df337e40ffb58637d1952
https://doi.org/10.1109/atsip.2017.8075522
https://doi.org/10.1109/atsip.2017.8075522
Publikováno v:
Science and Technology of Nuclear Installations, Vol 2017 (2017)
We present an overview of fission chamber’s functioning modes, theoretical aspects of the nonnegative matrix factorization methods, and the opportunities that offer neutron data processing in order to achieve neutron flux monitoring tasks. Indeed,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::508d59012a1bd9a28a951dab0c5a2ded
https://doaj.org/article/f247b6933fe04e238100b2ea3be95ac0
https://doaj.org/article/f247b6933fe04e238100b2ea3be95ac0
Akademický článek
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Akademický článek
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