Machine learning models for ecological footprint prediction based on energy parameters
dc.citation.rank | M21a | |
dc.contributor.author | Janković, Radmila | |
dc.contributor.author | Mihajlović, Ivan | |
dc.contributor.author | Štrbac, Nada | |
dc.contributor.author | Amelio, Alessia | |
dc.date.accessioned | 2023-12-25T21:25:40Z | |
dc.date.available | 2023-12-25T21:25:40Z | |
dc.date.issued | 2020 | |
dc.identifier.doi | 10.1007/s00521-020-05476-4 | |
dc.identifier.issn | 10.1007/s00521-020-05476-4 | |
dc.identifier.uri | https://link.springer.com/article/10.1007/s00521-020-05476-4 | |
dc.identifier.uri | https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/469 | |
dc.language.iso | en | |
dc.rights.license | ARR | |
dc.rights.uri | https://en.wikipedia.org/wiki/All_rights_reserved | |
dc.source | Neural Computing and Applications | |
dc.title | Machine learning models for ecological footprint prediction based on energy parameters | |
dc.type | article | |
dc.type.version | publishedVersion |