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The application of machine learning techniques to data from solid-state nuclear track detector CR-39
| Title: | The application of machine learning techniques to data from solid-state nuclear track detector CR-39 | Authors: | Vrban, Branislav; Vrtalova, Vendula; Knezevic, Dusica   ; Savic, Milos ; Kurbalija, Vladimir ; Jakovetic, Dusan; Cerba, Stefan; Luley, Jakub |
Issue Date: | 2026 | Publication: | EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS | ISSN: | 1951-6355 European Physical Journal - Special Topics Search Idenfier |
Type: | Article | DOI: | 10.1140/epjs/s11734-026-02349-0 | WoS-ID: | 001761238600001 | URI: | https://enauka.gov.rs/handle/123456789/1039603 | Project: | HORIZON EUROPE Framework Programme [101135775] Agentra na Podporu Vskumu a Vvoja [APVV-22-0304] Recovery and Resilience Plan for Slovakia [09I01-03-V04-00098] Slovak Technical University |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21M21 |
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