Электронная библиотека (репозиторий) Томского государственного университета

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Add   Gas mixtures IR absorption spectra decomposition using a deep neural network
Authors: Prischepa, Vladimir V. | Skiba, V. E. | Vrazhnov, Denis A. | Kistenev, Yury V.
Source: Journal of Quantitative Spectroscopy and Radiative Transfer. 2023. Vol. 301. P. 108521 (1-10)
Type: статьи в журналах
Date: 2023
Description: An approach to multicomponent gas mixtures IR absorption spectra decomposition using a deep neu- ral network was developed. The process of refinement and optimization of the absorption spectra data mo ... More
Add   Application of machine learning algorithms and laser absorption spectroscopy to solve the problem of determining components with a low concentration in multicomponent gas mixtures
Authors: Prischepa, V. V. | Skiba, V. E. | Vrazhnov, Denis A.
Source: Pulsed lasers and laser applications AMPL-2021 : the 15th International conference, September 12-17, 2021, Tomsk, Russia : abstracts. Tomsk, 2021. P. 121-122
Type: статьи в сборниках
Date: 2021
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