Results
eNauka >
Results >
Estimation of NMVOC emissions using artificial neural networks and economical and sustainability indicators as inputs
| Title: | Estimation of NMVOC emissions using artificial neural networks and economical and sustainability indicators as inputs | Authors: | Stamenković, Lidija J.; Antanasijević, Davor |
Issue Date: | 2016 | Publication: | Environmental Science and Pollution Research | ISSN: | 0944-1344 Environmental Science and Pollution Research Search Idenfier |
Publisher: | Springer Heidelberg, Heidelberg | Type: | Article | Collation: | vol. 23 br. 11 str. 10753-10762 | DOI: | 10.1007/s11356-016-6279-z | WoS-ID: | 000377021500040 | Scopus-ID: | 2-s2.0-84958767328 | PMID: | 26888640 | URI: | https://enauka.gov.rs/handle/123456789/897810 http://TechnoRep.tmf.bg.ac.rs/handle/123456789/3279 |
Project: | Развој и примена метода и материјала за мониторинг нових загађујућих и токсичних органских материја и тешких метала | M-category: | 21M21 |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.