| Hauptseite > Publikationsdatenbank > Deep-Learning-Based Optimization of the Signal/Background Ratio for $\Lambda$ Particles in the CBM Experiment at FAIR > print |
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| 100 | 1 | _ | |a Kisel, Ivan |0 0000-0002-4808-419X |b 0 |e Corresponding author |
| 245 | _ | _ | |a Deep-Learning-Based Optimization of the Signal/Background Ratio for $\Lambda$ Particles in the CBM Experiment at FAIR |
| 260 | _ | _ | |a Basel |c 2025 |b MDPI |
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| 500 | _ | _ | |a This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). This research was partly funded by the Federal Ministry of Education and Research [grant numbers 01IS21092, 05P24RF3, 05P24RF7] |
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| 700 | 1 | _ | |a Lakos, Robin |0 0009-0006-6575-1798 |b 1 |e Corresponding author |
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| 773 | _ | _ | |a 10.3390/a18040229 |g Vol. 18, no. 4, p. 229 - |0 PERI:(DE-600)2455149-1 |n 4 |p 229 |t Algorithms |v 18 |y 2025 |x 1999-4893 |
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