Improving the accuracy of the solution of ill-posed discrete problem by random projection von E. G. Revunova

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Recovering Signals Obtained by Indirect Measurements Based on Truncated Singular Value Decomposition and Random Projection von E. G. Revunova

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Linear model selection criteria for the solution of discrete ill-posed problems on the basis of singular value decomposition and random projection von E. G. Revunova

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Randomization approach to the recovery of signals resulted from indirect measurements von E. G. Revunova

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Random projection and truncated SVD for estimating direction of arrival in antenna array von E. G. Revunova, D. A. Rachkovskij

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The Technology of the Stable Solution for Discrete Ill-Posed Problems by Modified Random Projection Method von E. G. Revunova, O. V. Tyshchuk, O. O. Desiateryk

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Neural Distributed Representations of Vector Data in Intelligent Information Technologies von V. I. Gritsenko, D. A. Rachkovskij, E. G. Revunova

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A linear system output transformation for sparse approximation von O. V. Tyshchuk, O. O. Desiateryk, O. E. Volkov, E. G. Revunova, D. A. Rachkovskij

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Neural Distributed Representations for Artificial Intelligence and Modeling of Thinkingl von D. A. Rachkovskij, V. I. Gritsenko, O. Y. Volkov, A. D. Goltsev, E. G. Revunova, D. Kleyko, V. V. Lukovich, E. Osipov

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Neural distributed representation for intelligent information technologies and modeling of thinking von V. I. Gritsenko, D. A. Rachkovskij, A. D. Goltsev, V. V. Lukovich, I. S. Misuno, E. G. Revunova, S. V. Slipchenko, A. M. Sokolov, S. A. Talaev

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