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Wildfire Susceptibility Mapping in China Combining Machine Learning, Deep Learning, and Transformer-Based Models
| Naziv: | Wildfire Susceptibility Mapping in China Combining Machine Learning, Deep Learning, and Transformer-Based Models | Autori: | Durlević, Uroš |
Godina: | 2026 | Publikacija: | Earth | ISSN: | 2673-4834 EARTH Pretraži identifikator |
Izdavač: | Basel : MDPI | Tip rezultata: | Naučni članak | Kolacija: | vol. 7 br. 4 str. 119 | DOI: | 10.3390/earth7040119 | WoS-ID: | 001858802700001 | Scopus-ID: | 2-s2.0-105048570795 | URI: | https://gery.gef.bg.ac.rs/handle/123456789/2458 https://dais.sanu.ac.rs/123456789/19128 https://enauka.gov.rs/handle/123456789/1044901 |
Projekat: | Ministry of Science, Technological Development and Innovations of the Republic of Serbia, No. 451-03-33/2026-03/200172 Ministry of Science, Technological Development and Innovations of the Republic of Serbia, No. 451-03-33/2026-03/200091 |
M-kategorija: | 21M21 - Vodeći međunarodni časopis kategorije M21 |
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