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A comparative analysis of machine learning approaches to gap filling meteorological datasets
| Naziv: | A comparative analysis of machine learning approaches to gap filling meteorological datasets | Autori: | Lalic, Branislava; Stapleton, Adam; Vergauwen, Thomas; Caluwaerts, Steven; Eichelmann, Elke; Roantree, Mark | Godina: | 2024 | Publikacija: | ENVIRONMENTAL EARTH SCIENCES | ISSN: | 1866-6280 Environmental Earth Sciences Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | vol. 83 br. 24 | DOI: | 10.1007/s12665-024-11982-8 | WoS-ID: | 001367459000001 | Scopus-ID: | 2-s2.0-85211208136 | URI: | https://enauka.gov.rs/handle/123456789/952670 | Projekat: | Research Ireland through the Insight Centre for Data Analytics [SFI/12/RC/2289_P2] Ministry of Science, Technological Development and Innovations of Republic of Serbia [451-03-1524/2023-04/16] COST Action [CA20108] COST (European Cooperation in Science and Technology) |
Izvor metapodataka: | (Preuzeto iz Nasi u WoS) | M-kategorija: | 21M21 - Vodeći međunarodni časopis kategorije M21 |
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