Search Results - "Trofimov, G A"

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    Model for Early Detection of Emergency Conditions in Power Plant Equipment Based on Machine Learning Methods by Korshikova, A. A., Trofimov, A. G.

    Published in Thermal engineering (01-03-2019)
    “…— The article discusses a method for early detection and prediction of abnormality in operation of power-unit process equipment taking as an example the PTN…”
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    Journal Article
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    Ossification Variability in the Cranial Skeleton of Lissotriton vulgaris (L.) (Caudata) from Urbanization Areas by Vershinin, V. L., Trofimov, A. G., Perekhrest, E. V., Berzin, D. L.

    Published in Inland water biology (01-06-2019)
    “…This paper considers the influence of environmental conditions on the specificity of the process of ossification of the skull of yearlings of common newt…”
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    Journal Article
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    Mitochondrial Heteroplasmy in Marsh Frog (Pelophylax ridibundus Pallas, 1771) by Vershinin, V. L., Sitnikov, I. A., Vershinina, S. D., Trofimov, A. G., Lebedinsky, A. A., Miura, I. J.

    Published in Russian journal of genetics (01-08-2019)
    “…The population features of nuclear and mitochondrial genomes of P. ridibundus Pallas, 1771 and related species of green frogs from Nizhny Novgorod and…”
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    Journal Article
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    Comparative analysis on distribution of common cetacean and fish species in the Barents Sea by R. N. Klepikovskiy, V. А. Ivshin, A. G. Trofimov

    “…Comparative analysis of cetacean and fish species distribution in the Barents Sea is conducted on the data of joint Russian-Norwegian ecosystem surveys in…”
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    Journal Article
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    Neural network-based approximation of aircraft attainability boundary by Voronov, E. M., Karpenko, A. P., Kozlova, O. G., Fedin, V. A., Trofimov, A. G.

    Published in Optical memory & neural networks (2010)
    “…The problem of the approximate dynamic system attainability domain boundary construction is considered. Results of neural network-based methods efficiency…”
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    Journal Article
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    Extraction and recognition of electroencephalogram dynamic patterns for brain-computer interfaces by Trofimov, A. G., Skrugin, V. I., Rodriguez, A. M. Herrera

    “…We discuss an original approach to multidimensional non-stationary time series classification based on dynamic patterns analysis. The main problem in time…”
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    Conference Proceeding
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