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Machine learning models for ecological footprint prediction based on energy parameters
| Title: | Machine learning models for ecological footprint prediction based on energy parameters | Authors: | Janković, Radmila   ; Mihajlović, Ivan ; Štrbac, Nada ; Amelio, Alessia |
Issue Date: | 2020 | Publication: | Neural Computing and Applications | ISSN: | 0941-0643 Neural Computing and Applications Search Idenfier |
Publisher: | Springer Link | Type: | Article | Collation: | vol. 33 br. 12 str. 7073-7087 | DOI: | 10.1007/s00521-020-05476-4 | WoS-ID: | 000590219400001 | Scopus-ID: | 2-s2.0-85096098613 | URI: | http://researchrepository.mi.sanu.ac.rs/handle/123456789/4216 https://machinery.mas.bg.ac.rs/handle/123456789/4996 https://enauka.gov.rs/handle/123456789/373506 |
Project: | Developing technological processes for nonstandard copper concentrates processing with the aim to decrease pollutants emission | Metadata source: | Migracija | M-category: | 21M21 |
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