Results
eNauka >
Results >
Time resolved study of temperature sensing using Gd2O3:Er,Yb: deep learning approach

Title: | Time resolved study of temperature sensing using Gd2O3:Er,Yb: deep learning approach | Authors: | Rabasović, Maja S ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Issue Date: | 2023 | Publication: | Physica Scripta | ISSN: | 0031-8949![]() ![]() |
Type: | Article | Collation: | vol. 98 br. 11 str. 116003-116003 | DOI: | 10.1088/1402-4896/ad01ed | WoS-ID: | 001085634500001 | Scopus-ID: | 2-s2.0-85176257750 | URI: | https://enauka.gov.rs/handle/123456789/848090 https://vinar.vin.bg.ac.rs/handle/123456789/11984 |
Project: | Institute of Physics Belgrade and by the ‘Vinca’ Institute of Nuclear science through the grant by the Ministry of Education, Science, and Technological Development of the Republic of Serbia | Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21M21 |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.