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A multi-fidelity wind surface pressure assessment via machine learning: A high-rise building case
| Naziv: | A multi-fidelity wind surface pressure assessment via machine learning: A high-rise building case | Autori: | Šarkić Glumac, Anina   ; Jadhav, Onkar; Despotović, Vladimir; Blocken, Bert; Bordas, Stephane PA |
Godina: | 2023 | Publikacija: | Building and Environment | ISSN: | 0360-1323 Building and Environment Pretraži identifikator |
Izdavač: | Elsevier | Tip rezultata: | Naučni članak | Kolacija: | vol. 234 str. 110135-110135 | DOI: | 10.1016/j.buildenv.2023.110135 | WoS-ID: | 000992128700001 | Scopus-ID: | 2-s2.0-85149634014 | URI: | https://enauka.gov.rs/handle/123456789/853663 https://grafar.grf.bg.ac.rs/handle/123456789/3292 |
Projekat: | "Fonds National de la Recherche, Luxembourg" (FNR), CORE Junior project DATA4WIND - "Data-Driven Approach for Urban Wind Energy Harvesting", C19/SR/13639741 | M-kategorija: | 21a+M21a+ - Vodeći međunarodni časopis kategorije M21a+ |
