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eNauka >  Results >  Using Machine Learning for Improvement of Reflected Spectrum Estimations of Colorimetric Probe
Title: Using Machine Learning for Improvement of Reflected Spectrum Estimations of Colorimetric Probe
Authors: Batinic, Branislav D  ; Arbanas, Milos S ; Bajic, Jovan S  ; Dedijer, Sandra R  ; Rajs, Vladimir M  ; Lakovic, Nikola M; Kulundzic, Nenad R  
Issue Date: 2021
Publication: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
ISSN: 0018-9456 IEEE Transactions on Instrumentation and Measurement Search Idenfier
Type: Article
Collation: vol. 70 str. 1-7
DOI: 10.1109/TIM.2020.3011763
WoS-ID: 000591842200097
Scopus-ID: 2-s2.0-85096657767
URI: https://enauka.gov.rs/handle/123456789/831884
Project: IPA CBC Interreg Croatia-Serbia Project-Sens Wetlands [HR-RS135]
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
21aM21a

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