An approach to evaluation of the extremely low-frequency magnetic field radiation in the laptop computer neighborhood by artificial neural networks

Article Metadata only M22

2017

Brodić, Darko
Tanikić, Dejan
Amelio, Alessia

Neural Computing and Applications

3441

3453

English

M22 - Paper in a prominent international journal

10.1007/s00521-016-2246-3

0941-0643

dc.rights.license	ARR
dc.identifier.doi	10.1007/s00521-016-2246-3
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.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
dc.citation.volume	28
dc.citation.issue	11
dc.rights.uri	https://en.wikipedia.org/wiki/All_rights_reserved
dc.citation.spage	3441
dc.citation.epage	3453
dc.citation.rank	M22
dc.creator	Brodić, Darko
dc.creator	Tanikić, Dejan
dc.creator	Amelio, Alessia
dc.date.accessioned	2023-12-25T21:00:17Z
dc.date.available	2023-12-25T21:00:17Z
dc.date.issued	2017
dc.identifier.issn	0941-0643


An approach to evaluation of the extremely low-frequency magnetic field radiation in the laptop computer neighborhood by artificial neural networks	2