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Improving the Two-Color Temperature Sensing Using Machine Learning Approach: GdVO4:Sm3+ Prepared by Solution Combustion Synthesis (SCS)
| Title: | Improving the Two-Color Temperature Sensing Using Machine Learning Approach: GdVO4:Sm3+ Prepared by Solution Combustion Synthesis (SCS) | Authors: | Jelić, Jovana Z.   ; Denčevski, Aleksa ; Rabasović, Mihailo D. ; Krizan, Janez; Savić-Šević, Svetlana ; Nikolić, Marko G. ; Aguirre, Miryam H.; Šević, Dragutin ; Rabasović, Maja S. |
Issue Date: | 2024 | Publication: | Photonics | ISSN: | 2304-6732 Photonics Search Idenfier |
Type: | Article | Collation: | vol. 11 br. 7 str. 642 | DOI: | 10.3390/photonics11070642 | WoS-ID: | 001278670100001 | Scopus-ID: | 2-s2.0-85199567902 | URI: | https://enauka.gov.rs/handle/123456789/926099 https://plus.cobiss.net/cobiss/sr/sr/bib/112779529#izum.si |
Project: | European Commission through Marie Sklodowska-Curie Actions H2020 RISE with ULTIMATE-I [101007825] Institute of Physics Belgrade, by the Ministry of Science, Technological Development and Innovations of the Republic of Serbia |
Metadata source: | (Preuzeto iz Nasi u WoS) (Preuzeto iz CrossRef-a) Rabasović, Mihailo |
M-category: | 22M22 |
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