V. Skiba

Study of Blood Serum in Rats with Transplanted Cholangiocarcinoma Using Raman Spectroscopy

P. A. Dyachenko, V. V. Tuchin, V. Tuchin, 2020, Optics and Spectroscopy.

Super-resolution reconstruction of noisy gas-mixture absorption spectra using deep learning

D. Vrazhnov, Y. Kistenev, A. Borisov, 2022, Journal of Quantitative Spectroscopy and Radiative Transfer.

Gas mixtures IR absorption spectra decomposition using a deep neural network

D. Vrazhnov, Y. Kistenev, V. Skiba, 2023, Journal of Quantitative Spectroscopy and Radiative Transfer.

Improving low-resolution gas-mixture absorption spectra using neural networks

D. A. Vrazhnov, V. V. Prischepa, V. E. Skiba, 2020, Other Conferences.

Application of laser absorption spectroscopy and machine learning for component analysis of multicomponent gas media

D. A. Vrazhnov, V. V. Prischepa, V. E. Skiba, 2020, Other Conferences.

Contemporaneously growing speleothems and their value to decipher in-cave processes

J. Fohlmeister, V. Skiba, 2021, Geochimica et Cosmochimica Acta.

Gas-mixture IR absorption spectra denoising using deep learning

V. V. Prischepa, D. Vrazhnov, Y. Kistenev, 2023, Journal of Quantitative Spectroscopy and Radiative Transfer.