Rezultati
eNauka >
Results >
Uncovering Benzene Pollution Patterns Using an Interpretable, Setting-Aware Artificial Intelligence Approach
| Title: | Uncovering Benzene Pollution Patterns Using an Interpretable, Setting-Aware Artificial Intelligence Approach | Authors: | Bešlić, Ivan; Bezdan, Timea |
Issue Date: | 2026 | Publication: | Toxics | ISSN: | 2305-6304 Toxics Search Idenfier |
Type: | Article | Collation: | vol. 14 br. 2 str. 181-181 | DOI: | 10.3390/toxics14020181 | WoS-ID: | 001704237000001 | URI: | https://enauka.gov.rs/handle/123456789/1029875 | Project: | City of Zagreb European Union-NextGenerationEU (project EnvironPollutHealth) Institute for Medical Research and Occupational Health, Zagreb, Croatia [643-02/23-01/00016, 533-03-23-0006] Ministry of Education, Science and Technological Development of the Republic of Serbia, as well as by the Science Fund of the Republic of Serbia [7373] |
Metadata source: | (Preuzeto iz CrossRef-a) Jovanović, Gordana | M-category: | 21M21 |
Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.