| Raman spectroscopy of water–ethanol solutions: the estimation of hydrogen bonding energy and the appearance of clathrate-like structures in solutions TA Dolenko, SA Burikov, SA Dolenko, AO Efitorov, IV Plastinin, ... The Journal of Physical Chemistry A 119 (44), 10806-10815, 2015 | 142 | 2015 |
| Selective detection of individual gases and CO/H2 mixture at low concentrations in air by single semiconductor metal oxide sensors working in dynamic temperature mode V Krivetskiy, A Efitorov, A Arkhipenko, S Vladimirova, M Rumyantseva, ... Sensors and Actuators B: Chemical 254, 502-513, 2018 | 79 | 2018 |
| Multifold acceleration of neural network computations using GPU A Guzhva, S Dolenko, I Persiantsev Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009 | 56 | 2009 |
| Decomposition of water Raman stretching band with a combination of optimization methods S Burikov, S Dolenko, T Dolenko, S Patsaeva, V Yuzhakov Molecular Physics 108 (6), 739-747, 2010 | 43 | 2010 |
| Practical implementation and use of group method of data handling (GMDH): prospects and problems SA Dolenko, YV Orlov, IG Persiantsev Proceedings of ACEDC 96, 291-293, 1996 | 41 | 1996 |
| New opportunity solutions to inverse problems in laser spectroscopy involving artificial neural networks IV Gerdova, SA Dolenko, TA Dolenko, IV Churina, VV Fadeev Izvestiya Akademii Nauk Seriya Fizicheskaya 66 (8), 1116-1124, 2002 | 37 | 2002 |
| Application of artificial neural networks to solve problems of identification and determination of concentration of salts in multi-component water solutions by Raman spectra SA Burikov, SA Dolenko, TA Dolenko, IG Persiantsev Optical Memory and Neural Networks 19, 140-148, 2010 | 34 | 2010 |
| New approaches to determination of temperature and salinity of seawater by laser Raman spectroscopy SA Burikov, IV Churina, SA Dolenko, TA Dolenko, VV Fadeev EARSeL eProceedings 3 (3), 298-305, 2004 | 33 | 2004 |
| Time-resolved fluorimetry of two-fluorophore organic systems using artificial neural networks SA Dolenko, TA Dolenko, VV Fadeev, IV Gerdova, M Kompitsas Optics Communications 213 (4-6), 309-324, 2002 | 30 | 2002 |
| A method for optical imaging and monitoring of the excretion of fluorescent nanocomposites from the body using artificial neural networks OE Sarmanova, SA Burikov, SA Dolenko, IV Isaev, KA Laptinskiy, ... Nanomedicine: Nanotechnology, Biology and Medicine 14 (4), 1371-1380, 2018 | 29 | 2018 |
| Chemically modified nanocrystalline SnO2-based materials for nitrogen-containing gases detection using gas sensor array V Krivetskiy, I Malkov, A Garshev, N Mordvinova, OI Lebedev, S Dolenko, ... Journal of Alloys and Compounds 691, 514-523, 2017 | 28 | 2017 |
| Adaptive methods for solving inverse problems in laser Raman spectroscopy of multi-component solutions SA Dolenko, SA Burikov, TA Dolenko, IG Persiantsev Pattern Recognition and Image Analysis 22, 550-557, 2012 | 27 | 2012 |
| Significant feature selection in neural network solution of an inverse problem in spectroscopy A Efitorov, S Burikov, T Dolenko, K Laptinskiy, S Dolenko Procedia computer science 66, 93-102, 2015 | 26 | 2015 |
| Optical imaging of fluorescent carbon biomarkers using artificial neural networks TA Dolenko, SA Burikov, AM Vervald, II Vlasov, SA Dolenko, ... Journal of biomedical optics 19 (11), 117007-117007, 2014 | 25 | 2014 |
| Raman spectroscopy of micellization-induced liquid–liquid fluctuations in sodium dodecyl sulfate aqueous solutions TA Dolenko, SA Burikov, SA Dolenko, AO Efitorov, YA Mirgorod Journal of Molecular Liquids 204, 44-49, 2015 | 24 | 2015 |
| Solution of inverse problem in nonlinear laser fluorimetry of organic compounds with the use of artificial neural networks SA Dolenko, TA Dolenko, VV Fadeev, EM Filippova, OV Kozyreva, ... Pattern Recognition and Image Analysis (Advances in Mathematical Theory and …, 1999 | 24 | 1999 |
| Neural network approaches to solution of the inverse problem of identification and determination of partial concentrations of salts in multi-сomponent water solutions S Dolenko, S Burikov, T Dolenko, A Efitorov, K Gushchin, I Persiantsev Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014 | 22 | 2014 |
| Development of the fluorescent carbon nanosensor for pH and temperature of liquid media with artificial neural networks OE Sarmanova, KA Laptinskiy, MY Khmeleva, SA Burikov, SA Dolenko, ... Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 258, 119861, 2021 | 21 | 2021 |
| Study of influence of parameter grouping on the error of neural network solution of the inverse problem of electrical prospecting S Dolenko, I Isaev, E Obornev, I Persiantsev, M Shimelevich Engineering Applications of Neural Networks: 14th International Conference …, 2013 | 21 | 2013 |
| Comparison of adaptive algorithms for significant feature selection in neural network based solution of the inverse problem of electrical prospecting S Dolenko, A Guzhva, E Obornev, I Persiantsev, M Shimelevich Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009 | 21 | 2009 |
