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Deep-Learning-Based Optimization of the Signal/Background Ratio for Λ Particles in the CBM Experiment at FAIR.

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Title: Deep-Learning-Based Optimization of the Signal/Background Ratio for Λ Particles in the CBM Experiment at FAIR.
Authors: Kisel, Ivan1,2,3,4 (AUTHOR) i.kisel@compeng.uni-frankfurt.de, Lakos, Robin1,2 (AUTHOR) lakos@fias.uni-frankfurt.de, Zischka, Gianna2,3 (AUTHOR) g.zischka@gsi.de
Source: Algorithms. Apr2025, Vol. 18 Issue 4, p229. 12p.
Database: Academic Search Ultimate
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  Data: Deep-Learning-Based Optimization of the Signal/Background Ratio for Λ Particles in the CBM Experiment at FAIR.
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  Data: <searchLink fieldCode="JN" term="%22Algorithms%22">Algorithms</searchLink>. Apr2025, Vol. 18 Issue 4, p229. 12p.
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        Value: 10.3390/a18040229
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        Text: English
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        StartPage: 229
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      – TitleFull: Deep-Learning-Based Optimization of the Signal/Background Ratio for Λ Particles in the CBM Experiment at FAIR.
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            NameFull: Kisel, Ivan
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            NameFull: Lakos, Robin
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              Text: Apr2025
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