Search Results - "Lyakhov, P. A."

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  1. 1

    Reliable Kalman Filtering with Conditionally Local Calculations in Wireless Sensor Networks by Lyakhov, P. A., Kalita, D. I.

    Published in Automatic control and computer sciences (01-04-2023)
    “…Wireless sensor networks state assessment is one of the areas of research in digital signal processing. Traditional algorithms include centralized and…”
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    Journal Article
  2. 2

    Reducing the Computational Complexity of Image Processing Using Wavelet Transform Based on the Winograd Method by Lyakhov, P. A., Nagornov, N. N., Semyonova, N. F., Abdulsalyamova, A. S.

    Published in Pattern recognition and image analysis (01-06-2023)
    “…Modern computer technology devices do not keep pace with the high growth rate of quantitative and qualitative characteristics of digital images. The…”
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    Journal Article
  3. 3

    Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem by Chervyakov, N.I., Molahosseini, A. S., Lyakhov, P. A., Babenko, M. G., Deryabin, M. A.

    “…The residue number system (RNS) is an unconventional number system which can lead to parallel and fault-tolerant arithmetic operations. However, the complexity…”
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    Journal Article
  4. 4

    An efficient method of error correction in fault-tolerant modular neurocomputers by Chervyakov, N.I., Lyakhov, P.A., Babenko, M.G., Garyanina, A.I., Lavrinenko, I.N., Lavrinenko, A.V., Deryabin, M.A.

    Published in Neurocomputing (Amsterdam) (12-09-2016)
    “…In this paper, we propose the architecture of a fault-tolerant unit in a modular neurocomputer that is based on decoding with computation of errors syndromes…”
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    Journal Article
  5. 5

    Application of the residue number system to reduce hardware costs of the convolutional neural network implementation by Valueva, M.V., Nagornov, N.N., Lyakhov, P.A., Valuev, G.V., Chervyakov, N.I.

    Published in Mathematics and computers in simulation (01-11-2020)
    “…Convolutional neural networks are a promising tool for solving the problem of pattern recognition. Most well-known convolutional neural networks…”
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    Journal Article
  6. 6

    Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects by Lyakhova, U.A., Lyakhov, P.A.

    Published in Computers in biology and medicine (01-08-2024)
    “…In recent years, there has been a significant improvement in the accuracy of the classification of pigmented skin lesions using artificial intelligence…”
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    Journal Article
  7. 7

    Area-Efficient digital filtering based on truncated multiply-accumulate units in residue number system 2n-1,2n,2n+1 by Lyakhov, P.A.

    “…High resource consumption of digital filtering devices is one of the main practical problems of digital signal processing. Parallel data processing is one of…”
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    Journal Article
  8. 8

    A new approach to training neural networks using natural gradient descent with momentum based on Dirichlet distributions by Abdulkadirov, R.I., Lyakhov, P.A.

    Published in Kompʹûternaâ optika (01-02-2023)
    “…In this paper, we propose a natural gradient descent algorithm with momentum based on Dirichlet distributions to speed up the training of neural networks. This…”
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    Journal Article
  9. 9

    Neural network recognition system for video transmitted through a binary symmetric channel by Baboshina, V.A., Orazaev, A.R., Lyakhov, P.A., Boyarskaya, E.E.

    Published in Kompʹûternaâ optika (01-08-2024)
    “…The demand for transmitting video data is increasing annually, necessitating the use of high-quality equipment for reception and processing. The paper presents…”
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    Journal Article
  10. 10

    Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network by Chervyakov, N.I., Lyakhov, P.A., Deryabin, M.A., Nagornov, N.N., Valueva, M.V., Valuev, G.V.

    Published in Neurocomputing (Amsterdam) (24-09-2020)
    “…Convolutional neural networks (CNNs) represent deep learning architectures that are currently used in a wide range of applications, including computer vision,…”
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    Journal Article
  11. 11

    High-speed smoothing filter in the Residue Number System by Chervyakov, N. I., Lyakhov, P. A., Ionisyan, A. S., Valueva, M. V.

    “…In this paper we propose a new architecture of a smoothing filter in the RNS. The problem of computationally complex division operation performing is solved by…”
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    Conference Proceeding
  12. 12

    Neural network classification system for pigmented skin neoplasms with preliminary hair removal in photographs by Lyakhov, P.A., Lyakhova, U.A.

    Published in Kompʹûternaâ optika (01-09-2021)
    “…The article proposes a neural network classification system for pigmented skin neoplasms with a preliminary processing stage to remove hair from the images…”
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    Journal Article
  13. 13

    Quantization Noise of Multilevel Discrete Wavelet Transform Filters in Image Processing by Chervyakov, N. I., Lyakhov, P. A., Nagornov, N. N.

    “…The effect of the quantization noise of the coefficients of discrete wavelet transform (DWT) filters on the image processing result is analyzed. A multilevel…”
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    Journal Article
  14. 14

    The architecture of a fault-tolerant modular neurocomputer based on modular number projections by Chervyakov, N.I., Lyakhov, P.A., Babenko, M.G., Lavrinenko, I.N., Lavrinenko, A.V., Nazarov, A.S.

    Published in Neurocomputing (Amsterdam) (10-01-2018)
    “…This paper suggests a rather efficient architecture for an error correction unit of a residue number system (RNS) that is based on a redundant RNS (RRNS) and…”
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    Journal Article
  15. 15

    High-performance digital image filtering architectures in the residue number system based on the Winograd method by Valueva, M.V., Lyakhov, P.A., Nagornov, N.N., Valuev, G.V.

    Published in Kompʹûternaâ optika (01-10-2022)
    “…Continuous improvement of methods for visual information registration, processing and storage leads to the need of improving technical characteristics of…”
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    Journal Article
  16. 16

    Development of digital image processing algorithms based on the Winograd method in general form and analysis of their computational complexity by Lyakhov, P.A., Nagornov, N.N., Semyonova, N.F., Abdulsalyamova, A.S.

    Published in Kompʹûternaâ optika (01-02-2023)
    “…The fast increase of the amount of quantitative and qualitative characteristics of digital visual data calls for the improvement of the performance of modern…”
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    Journal Article
  17. 17

    Two methods of adaptive median filtering of impulse noise in images by Chervyakov, N., Lyakhov, P., Orazaev, A.

    Published in Kompʹûternaâ optika (01-07-2018)
    “…Two new methods of adaptive median filtering of impulse noise in images are proposed in the paper. The first method is based on the joint application of…”
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    Journal Article
  18. 18

    A new model to optimize the architecture of a fault-tolerant modular neurocomputer by Chervyakov, N.I., Lyakhov, P.A., Babenko, M.G., Lavrinenko, I.N., Lavrinenko, A.V., Deryabin, M.A., Nazarov, A.S.

    Published in Neurocomputing (Amsterdam) (16-08-2018)
    “…In this paper, we present some results on error detection and correction in a modular neurocomputer that are based on redundant residue number systems. The…”
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    Journal Article
  19. 19

    3D-generalization of impulse noise removal method for video data processing by Chervyakov, N.I., Lyakhov, P.A., Orazaev, A.R.

    Published in Kompʹûternaâ optika (01-02-2020)
    “…The paper proposes a generalized method of adaptive median impulse noise filtering for video data processing. The method is based on the combined use of…”
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    Journal Article
  20. 20

    Digital filtering of images in a residue number system using finite-field wavelets by Chervyakov, N. I., Lyakhov, P. A., Babenko, M. G.

    Published in Automatic control and computer sciences (01-05-2014)
    “…A new approach for processing images based on joint application of the residue number system and finite-field wavelets is proposed in this work. It is shown…”
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    Journal Article