| Naziv: | Enhancing Low-Cost Air Quality Monitoring Using LSTM Networks for In-Field Sensor Calibration |
Autori  : | Topalović, Dušan   ; Mirkov, Nikola ; Uzhinskiy, Alexander; Radenković, Mirjana ; Milićević, Aleksandar ; Tasić, Viša |
Godina: | 2026 |
Publikacija: | RAD 2026 : 14th International Conference on Radiation, Natural Sciences, Medicine, Engineering, Technology and Ecology : Book of Abstracts |
Izdavač: | Niš : RAD Centre |
Tip rezultata: | Konferencijski rad |
ISBN: | 978-86-901150-9-9  Pretraži identifikator |
Kolacija: | str. 38-38 |
DOI: | 10.21175/rad.abstr.book.2026.12.3 |
URI: | https://vinar.vin.bg.ac.rs/handle/123456789/17295
https://enauka.gov.rs/handle/123456789/1050971 |
Projekat: | JINR-Serbia Cooperation Agreement through the project “Unveiling the Potential of Quantum Machine Learning: A Practical Framework for In-Field Calibration of a Novel Portable Air Quality Platform for Fine and Coarse Particulate Matter Assessment” [P19]
Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200017 (Univerzitet u Beogradu, Institut za nuklearne nauke Vinča, Beograd-Vinča)
Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200052 (Institut za rudarstvo i metalurgiju, Bor) |
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