An approach to evaluation of the extremely low-frequency magnetic field radiation in the laptop computer neighborhood by artificial neural networks
dc.citation.epage | 3453 | |
dc.citation.issue | 11 | |
dc.citation.rank | M22 | |
dc.citation.spage | 3441 | |
dc.citation.volume | 28 | |
dc.contributor.author | Brodić, Darko | |
dc.contributor.author | Tanikić, Dejan | |
dc.contributor.author | Amelio, Alessia | |
dc.date.accessioned | 2023-12-25T21:00:17Z | |
dc.date.available | 2023-12-25T21:00:17Z | |
dc.date.issued | 2017 | |
dc.identifier.doi | 10.1007/s00521-016-2246-3 | |
dc.identifier.issn | 0941-0643 | |
dc.identifier.uri | https://link.springer.com/article/10.1007/s00521-016-2246-3 | |
dc.identifier.uri | https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/95 | |
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 | An approach to evaluation of the extremely low-frequency magnetic field radiation in the laptop computer neighborhood by artificial neural networks | |
dc.type | article | |
dc.type.version | publishedVersion |