ТГУ.Сотрудники

Скиба Виктор Евгеньевич

Публикации

Общее число записей - 9
1 The Fabry-Perot effect suppression in gas cells used in THz absorption spectrometers / Y.V. Kistenev, A.V. Borisov, V.E. Skiba, G.K. Raspopin [et al] // Journal of Quantitative Spectroscopy and Radiative Transfer. 2024. Vol. 315. Art. num. 108891. DOI: 10.1016/j.jqsrt.2023.108891
2 Gas-mixture IR absorption spectra denoising using deep learning / Y.V. Kistenev, V.E. Skiba, V.V. Prishchepa, A.V. Borisov [et al] // Journal of Quantitative Spectroscopy and Radiative Transfer. 2023. Vol. 313. Art. num. 108825. DOI: 10.1016/j.jqsrt.2023.108825
3 A. Altynbekov, A.V. Borisov, V.E. Skiba, Y.V. Kistenev. The possibility of increasing the efficiency of terahertz absorption spectra noise reduction using a sliding window variant of Savitzky- Golay filter // Proceedings of SPIE - The International Society for Optical Engineering. 2023. Vol. 12920. Art. num. 1292013. DOI: 10.1117/12.3009811
4 Prishchepa V.V., Skiba V.E., Vrazhnov D.A., Kistenev Y.V. Gas mixtures IR absorption spectra decomposition using a deep neural network // Journal of Quantitative Spectroscopy and Radiative Transfer. 2023. Vol. 301. Art. num. 108521. DOI: 10.1016/j.jqsrt.2023.108521
5 Super-resolution reconstruction of noisy gas-mixture absorption spectra using deep learning / Y.V. Kistenev, V.E. Skiba, V.V. Prishchepa, D.A. Vrazhnov [et al] // Journal of Quantitative Spectroscopy and Radiative Transfer. 2022. Vol. 289. Art. num. 108278. DOI: 10.1016/j.jqsrt.2022.108278
6 Prishchepa V.V., Skiba V.E., Borisov A.V., Vrazhnov D. A. Application of machine learningalgorithms and laser absorptionspectroscopy to solve the problem ofdetermining components with a lowconcentration in multicomponent gasmixtures // Proceedings of SPIE - The International Society for Optical Engineering. 2021. Vol. 12086. Art. num. 120861. DOI: 10.1117/12.2614040
7 Skiba V.E., Vrazhnov D.A., Prishchepa V.V., Miroshnichenko M.B. Improving low-resolution gas-mixture absorption spectra using neural networks // Proceedings of SPIE - The International Society for Optical Engineering. 2020. Vol. 11582. P. 115821C—115821C-7. DOI: 10.1117/12.2580678
8 Prishchepa V.V., Skiba V.E., Vrazhnov D.A., Markelov А. А. Application of laser absorption spectroscopy and machine learning for component analysis of multicomponent gas media // Proceedings of SPIE - The International Society for Optical Engineering. 2020. Vol. 11582. P. 115821J—115821J-7. DOI: 10.1117/12.2581568
9 Study of Blood Serum in Rats with Transplanted Cholangiocarcinoma Using Raman Spectroscopy / Lazareva E.N., Timoshina P.A., Kistenev Y.V., Vrazhnov D.A. [et al] // Optics and Spectroscopy. 2020. Vol. 128, № 7. P. 964‒971. DOI: 10.1134/S0030400X20070115
Учебная деятельность
Научная деятельность
Конкурсная деятельность