Autori: Pauling Andreas
| Naslov | Artificial neural networks can be used for Ambrosia pollen emission parameterization in COSMO-ART (Article) |
| Autori | Burki Charlotte Sikoparija Branko Thibaudon Michel Oliver Gilles Magyar Donat Udvardy Orsolya Leelossy Adam Charpilloz Christophe Pauling Andreas |
| Info | ATMOSPHERIC ENVIRONMENT, (2019), vol. 218 br. , str. - |
| Projekat | Swiss National Science Foundation (SNSF) [IZ73Z0_152348]; Swiss National Supercomputing Centre (CSCS) [s83] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: ISI/Web of Science Scopus |
| Naslov | High temporal resolution of airborne Ambrosia pollen measurements above the source reveals emission characteristics (Article) |
| Autori | Sikoparija Branko Mimic Gordan Panic Marko N Marko Oskar Radisic Predrag Pejak-Sikoparija Tatjana Pauling Andreas |
| Info | ATMOSPHERIC ENVIRONMENT, (2018), vol. 192 br. , str. 13-23 |
| Projekat | Swiss National Science Foundation through the SCOPES JRP [IZ73Z0_152348]; Ministry of Science, Republic of Serbia [III44006]; RealForAll project - Interreg IPA Cross-border Cooperation programme Croatia - Serbia [2017HR-RS151]; Provincial secretariat for |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: ISI/Web of Science Scopus |
