T. A. Dolenko

Matrix method in laser fluorimetry of organic compounds

V. V. Fadeev, T. A. Dolenko, A. A. Banishev, 2005, SPIE OPTO-Ireland.

Manifestation of Fermi resonance in Raman spectra of micellar aqueous solutions of sodium octanoate

T. A. Dolenko, I. V. Plastinin, S. A. Burikov, 2020, Saratov Fall Meeting.

Application of artificial neural networks to solve problems of identification and determination of concentration of salts in multi-component water solutions by Raman spectra

I. G. Persiantsev, T. A. Dolenko, S. A. Dolenko, 2010, Optical Memory and Neural Networks.

Adaptive methods of solving inverse problems for improvement of fidelity of molecular DNA computations

T. A. Dolenko, S. A. Dolenko, S. A. Burikov, 2016, Optical Memory and Neural Networks.

Monitoring of the excretion of fluorescent nanocomposites out of the body using artificial neural networks

K. A. Laptinskiy, T. A. Dolenko, S. A. Burikov, 2018, Photonics Europe.

Use of neural network algorithms for elaboration of fluorescent biosensors on the base of nanoparticles

K. A. Laptinskiy, T. A. Dolenko, I. I. Vlasov, 2013, Optical Memory and Neural Networks.

Adaptive methods for solving inverse problems in laser raman spectroscopy of multi-component solutions

I. G. Persiantsev, T. A. Dolenko, S. A. Burikov, 2012, Pattern Recognition and Image Analysis.

Comparison of the quality of solving the inverse problems of spectroscopy of multi-component solutions with neural network methods and with the method of projection to latent structures

I. G. Persiantsev, T. A. Dolenko, S. A. Burikov, 2015, Optical Memory and Neural Networks.