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A Reconfigurable Neural Network ASIC for Detector Front-End Data Compression at the HL-LHC
| Title: | A Reconfigurable Neural Network ASIC for Detector Front-End Data Compression at the HL-LHC | Authors  : | Di, Guglielmo Giuseppe; ...; Loncar, Vladimir; ...; (broj, koautora 18) | Issue Date: | 2021 | Publication: | IEEE TRANSACTIONS ON NUCLEAR SCIENCE | ISSN: | 0018-9499 IEEE Transactions on Nuclear Science Search Idenfier |
Type: | Article | Collation: | vol. 68 br. 8 str. 2179-2186 | DOI: | 10.1109/TNS.2021.3087100 | WoS-ID: | 000687247300092 | Scopus-ID: | 2-s2.0-85111010012 | URI: | https://enauka.gov.rs/handle/123456789/802065 | Project: | Fermi Research Alliance, LLC through the U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics [DE-AC02-07CH11359] DOE, Office of Science, Office of High Energy Physics Early Career Research ProgramUnited States Department of |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21M21 |
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