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Application of the residue number system to reduce hardware costs of the convolutional neural network implementation

Mathematics and computers in simulation, 2020-11, Vol.177, p.232-243

2020

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

Journal of King Saud University. Computer and information sciences, 2023-06, Vol.35 (6), p.101574, Article 101574

Lyakhov, P.A.

2023

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New method for detecting and removing random-valued impulse noise from images

Kompʹûternaâ optika, 2023-04, Vol.47 (2)

2023

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A new approach to training neural networks using natural gradient descent with momentum based on Dirichlet distributions

Kompʹûternaâ optika, 2023-02, Vol.47 (1), p.160-169

2023

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Neural network classification system for pigmented skin neoplasms with preliminary hair removal in photographs

Kompʹûternaâ optika, 2021-09, Vol.45 (5)

2021

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High-performance digital image filtering architectures in the residue number system based on the Winograd method

Kompʹûternaâ optika, 2022-10, Vol.46 (5)

2022

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Development of digital image processing algorithms based on the Winograd method in general form and analysis of their computational complexity

Kompʹûternaâ optika, 2023-02, Vol.47 (1), p.68-78

2023

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

Journal of King Saud University. Computer and information sciences, 2023-06, Vol.35 (6), p.101574, Article 101574

Lyakhov, P.A.

2023

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Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects

Computers in biology and medicine, 2024-08, Vol.178, p.108742, Article 108742

2024

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Method of Cleaning Hair Structures for Intellectual Image Classification of Skin Neoplasms

2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 2021, p.0020-0023

2021

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Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network

Neurocomputing (Amsterdam), 2020-09, Vol.407, p.439-453

2020

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The architecture of a fault-tolerant modular neurocomputer based on modular number projections

Neurocomputing (Amsterdam), 2018-01, Vol.272, p.96-107

2018

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Designing reverse converter for data transmission systems from two-level RNS to BNS

Journal of physics. Conference series, 2020-10, Vol.1658 (1), p.12005

2020

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3D-generalization of impulse noise removal method for video data processing

Kompʹûternaâ optika, 2020-02, Vol.44 (1)

2020

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Single Image Super-Resolution Method Based on Bilinear Interpolation and U-Net Combination

2021 10th Mediterranean Conference on Embedded Computing (MECO), 2021, p.1-4

2021

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An efficient method of error correction in fault-tolerant modular neurocomputers

Neurocomputing (Amsterdam), 2016-09, Vol.205, p.32-44

2016

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A New Method of Sign Detection in RNS Based on Modified Chinese Remainder Theorem

2021 10th Mediterranean Conference on Embedded Computing (MECO), 2021, p.1-4

2021

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A new model to optimize the architecture of a fault-tolerant modular neurocomputer

Neurocomputing (Amsterdam), 2018-08, Vol.303, p.37-46

2018

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Hardware implementation of a convolutional neural network using calculations in the residue number system

Kompʹûternaâ optika, 2019-10, Vol.43 (5)

2019

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An Approximate Method for Comparing Modular Numbers and its Application to the Division of Numbers in Residue Number Systems

Cybernetics and systems analysis, 2014-11, Vol.50 (6), p.977-984

2014

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A New Method of Cleaning Video from Impulse Noise

2019 International Conference on Engineering and Telecommunication (EnT), 2019, p.1-5

2019

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Method of Oriented Contour Detection on Image Using Lorentz Function

2020 9th Mediterranean Conference on Embedded Computing (MECO), 2020, p.1-4

2020

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Method for Determining Skin Lesions from Images Using Neural Network

2020 9th Mediterranean Conference on Embedded Computing (MECO), 2020, p.1-4

2020

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Integer smoothing filters in residue number system

Infokommunikacionnye tehnologii, 2018, Vol.16 (1), p.7-19

2018

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Removal of impulse noise from image using median filters with weighted central element

Infokommunikacionnye tehnologii, 2017-12, Vol.15 (4)

2017

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Application of the residue number system to reduce hardware costs of the convolutional neural network implementation

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

New method for detecting and removing random-valued impulse noise from images

A new approach to training neural networks using natural gradient descent with momentum based on Dirichlet distributions

Neural network classification system for pigmented skin neoplasms with preliminary hair removal in photographs

High-performance digital image filtering architectures in the residue number system based on the Winograd method

Development of digital image processing algorithms based on the Winograd method in general form and analysis of their computational complexity

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

Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects

Method of Cleaning Hair Structures for Intellectual Image Classification of Skin Neoplasms

Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network

The architecture of a fault-tolerant modular neurocomputer based on modular number projections

Designing reverse converter for data transmission systems from two-level RNS to BNS

3D-generalization of impulse noise removal method for video data processing

Single Image Super-Resolution Method Based on Bilinear Interpolation and U-Net Combination

An efficient method of error correction in fault-tolerant modular neurocomputers

A New Method of Sign Detection in RNS Based on Modified Chinese Remainder Theorem

A new model to optimize the architecture of a fault-tolerant modular neurocomputer

Hardware implementation of a convolutional neural network using calculations in the residue number system

An Approximate Method for Comparing Modular Numbers and its Application to the Division of Numbers in Residue Number Systems

A New Method of Cleaning Video from Impulse Noise

Method of Oriented Contour Detection on Image Using Lorentz Function

Method for Determining Skin Lesions from Images Using Neural Network

Integer smoothing filters in residue number system

Removal of impulse noise from image using median filters with weighted central element

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