Электронная библиотека (репозиторий) Томского государственного университета
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Add   Super-resolution reconstruction of noisy gas-mixture absorption spectra using deep learning
Authors: Kistenev, Yury V. | Skiba, V. E. | Prischepa, Vladimir V. | Vrazhnov, Denis A. | Borisov, Alexey V.
Source: Journal of Quantitative Spectroscopy and Radiative Transfer. 2022. Vol. 289. P. 108278 (1-18)
Type: статьи в журналах
Date: 2022
Description: The laser sources used in absorption spectroscopy of gas media are a compromise between spectral turn- ability and line width. For example, optical parametric oscillators have a very wide tuning range ... 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. | Borisov, Alexey V. | Vrazhnov, Denis A.
Source: Proceedings of SPIE. 2021. Vol. 12086 : XV International Conference on Pulsed Lasers and Laser Applications, 2021, Tomsk, Russian Federation. P. 120861F-1-120861F-8
Type: статьи в журналах
Date: 2021
Description: This article describes the methods and approaches used by us to solve the problem of a high error in the determination of a component with a low concentration in a gas mixture. The approaches based on ... More
Add   Application of machine learning and laser optical-acoustic spectroscopy to study the profile of exhaled air volatile markers of acute myocardial infarction
Authors: Borisov, Alexey V. | Syrkina, Anna G. | Kuzmin, Dmitry A. | Ryabov, Vyacheslav V. | Boyko, Andrey A. | Zakharova, Olga A. | Zasedatel, Vyacheslav S. | Kistenev, Yury V.
Source: Journal of breath research. 2021. Vol. 15, № 2. P. 027104 (1-15)
Type: статьи в журналах
Date: 2021
Description: Conventional acute myocardial infarction (AMI) diagnosis is quite accurate and has proved its effectiveness. However, despite this, discovering more operative methods of this disease detection is unde ... More
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