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Advancing computational spectroscopy: machine learning approaches for reconstructing incomplete spectroscopic and collisional datasets
| Title: | Advancing computational spectroscopy: machine learning approaches for reconstructing incomplete spectroscopic and collisional datasets | Authors: | Sakan, Nenad   ; Srećković, Vladimir ; Vujčić, V. |
Issue Date: | 2026 | Publication: | Contributions of the Astronomical Observatory Skalnaté Pleso | ISSN: | 1335-1842 Contributions of the Astronomical Observatory Skalnate Pleso Search Idenfier |
Type: | Article | Collation: | vol. 56 br. 1 str. 123-130 | DOI: | 10.31577/caosp.2026.56.1.123 | WoS-ID: | 001690185600010 | URI: | https://enauka.gov.rs/handle/123456789/1028160 | Project: | Ministry of Science, Technological Development and Innovation of the Republic of Serbia (MSTDIRS) [451-03-66/2024-03/200002, 451-03-47/2023-01/200024] COST Actions [CA21101] |
Metadata source: | (Preuzeto iz CrossRef-a) Srećković, Vladimir | M-category: | 23M23 |
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