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Signal Separation from Thermal Neutrons in Electron–Neutron Detectors Using Convolutional Neural Nets in the ENDA Experiment.

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Title: Signal Separation from Thermal Neutrons in Electron–Neutron Detectors Using Convolutional Neural Nets in the ENDA Experiment.
Authors: Kurinov, K. O.1 (AUTHOR) kyrinov.ko@gmail.com, Kuleshov, D. A.1 (AUTHOR), Lagutkina, A. A.2 (AUTHOR), Stenkin, Yu. V.1,2 (AUTHOR), Shchegolev, O. B.1,2 (AUTHOR)
Source: Journal of Experimental & Theoretical Physics. Apr2023, Vol. 136 Issue 4, p465-471. 7p.
Database: Academic Search Ultimate
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  Data: Signal Separation from Thermal Neutrons in Electron–Neutron Detectors Using Convolutional Neural Nets in the ENDA Experiment.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Experimental+%26+Theoretical+Physics%22">Journal of Experimental & Theoretical Physics</searchLink>. Apr2023, Vol. 136 Issue 4, p465-471. 7p.
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        Value: 10.1134/S1063776123040039
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        Text: English
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      – TitleFull: Signal Separation from Thermal Neutrons in Electron–Neutron Detectors Using Convolutional Neural Nets in the ENDA Experiment.
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              Text: Apr2023
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              Y: 2023
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