Výsledky vyhledávání - "Andrey Pestunov"

Application of Artificial Intelligence Technology to Formalizing the Fuzzy Data Processing Results

Autor: Edik K. Arakelyan, Viktor S. Mukhin, Andrey Pestunov, Gennadiy D. Krokhin

Publikováno v: Vestnik MEI. :130-138

One of the distinctive features pertinent to the present-day conditions under which the power plant equipment operate is the necessity to run it in variable modes, as a result of which certain changes occur in the equipment technical state with time.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0bc75a890fa1bf4e61f88bba92e58018
https://doi.org/10.24160/1993-6982-2017-5-130-138

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Evaluation of the Technical Condition of the Turbine Unit During Diagnostics Using Fuzzy Information

Autor: E K Arakelyan, G Krokhin, A E Kibireva, Andrey Pestunov, S V Mezin

Publikováno v: Journal of Physics: Conference Series. 1683:042046

The report is devoted to the problem of applying fuzzy set theory and fuzzy logic methods in models of diagnostics and assessment of the technical condition of TPP equipment using artificial intelligence methods. Are given here: description of fuzzy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a21a333fee9bcaedc25f0d6676e3ed47
https://doi.org/10.1088/1742-6596/1683/4/042046

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On the Issue of Information Security Risks Assessment of Business Processes

Autor: Tamara M. Pestunova, Andrey Pestunov, Viktor M. Belov

Publikováno v: 2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE).

In this paper, the authors develop their earlier introduced approach of how to evaluate information security risks basing on business processes analysis, where business processes are represented in formal notations. We review known risks evaluating m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3108b1a8d1192abb40e2aa4ae64e41ba
https://doi.org/10.1109/apeie.2018.8545576

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Compression-Based Integral Prior Classification for Improving Steganalysis

Autor: Ilja Duplischev, Viktor Monarev, Andrey Pestunov

Publikováno v: Information and Communications Security ISBN: 9783319500102
ICICS

We propose the integral prior classification approach for binary steganalysis which imply that several detectors are trained, and each detector is intended for processing only images with certain compression rate. In particular, the training set is s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb9508f47eb5dfa21470f0aa9a4739f4
https://doi.org/10.1007/978-3-319-50011-9_11

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Prior Classification of Stego Containers as a New Approach for Enhancing Steganalyzers Accuracy

Autor: Viktor Monarev, Andrey Pestunov

Publikováno v: Information and Communications Security ISBN: 9783319298139
ICICS

We introduce a novel “prior classification” approach which can be employed in order to enhance the accuracy of stego detectors as well as to estimate it more subtly. The prior classification is intended for selection a subset of a testing set wit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e937c53fc27bdee3a204199c63103f9e
https://doi.org/10.1007/978-3-319-29814-6_38

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