Machine learning models for ecological footprint prediction based on energy parameters

Article Metadata only M21a

2020

Janković, Radmila
Mihajlović, Ivan
Štrbac, Nada
Amelio, Alessia

Neural Computing and Applications

English

M21a - Paper in an international journal of exceptional value

10.1007/s00521-020-05476-4

10.1007/s00521-020-05476-4

dc.rights.license	ARR
dc.identifier.issn	10.1007/s00521-020-05476-4
dc.identifier.doi	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.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
dc.citation.rank	M21a
dc.rights.uri	https://en.wikipedia.org/wiki/All_rights_reserved
dc.creator	Janković, Radmila
dc.creator	Mihajlović, Ivan
dc.creator	Štrbac, Nada
dc.creator	Amelio, Alessia
dc.date.accessioned	2023-12-25T21:25:40Z
dc.date.available	2023-12-25T21:25:40Z
dc.date.issued	2020


Machine learning models for ecological footprint prediction based on energy parameters	1