| Naziv: | Ultrafast jet classification at the HL-LHC |
Autori  : | Odagiu, Patrick; ...; Loncar, Vladimir; ...; (broj, koautora 16) |
Godina: | 2024 |
Publikacija: | MACHINE LEARNING-SCIENCE AND TECHNOLOGY |
ISSN: | 2632-2153 Machine Learning-Science and Technology Pretraži identifikator |
Tip rezultata: | Naučni članak |
Kolacija: | vol. 5 br. 3 str. 035017-035017 |
DOI: | 10.1088/2632-2153/ad5f10 |
WoS-ID: | 001271228400001 |
Scopus-ID: | 2-s2.0-85199150270 |
URI: | https://enauka.gov.rs/handle/123456789/936912 |
Projekat: | NSF
Swiss National Science Foundation [PZ00P2_201594]
European Research Council (ERC) under the European Union [966696]
U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics Early Career Research program [DE-SC0021187]
CAPES
CNPq
FAPERJ
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [EXC 2121, 390833306]
Fermi Research Alliance, LLC [DE-AC02-07CH11359]
Department of Energy (DOE), Office of Science, Office of High Energy Physics
U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics 'Designing efficient edge AI with physics phenomena' Project [DE-FOA-0002705]
United Kingdom EPSRC [EP/V028251/1, EP/L016796/1, EP/N031768/1, EP/P010040/1, EP/S030069/1] |
Izvor metapodataka: | (Preuzeto iz Nasi u WoS) |
M-kategorija: | 21aM21a - Vodeći međunarodni časopis kategorije M21a |
