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Nikolay Nagornov
Nikolay Nagornov
North-Caucasus Federal University
Verified email at ncfu.ru
Title
Cited by
Cited by
Year
Application of the residue number system to reduce hardware costs of the convolutional neural network implementation
MV Valueva, NN Nagornov, PA Lyakhov, GV Valuev, NI Chervyakov
Mathematics and computers in simulation 177, 232-243, 2020
5862020
Analysis of the quantization noise in discrete wavelet transform filters for 3D medical imaging
N Chervyakov, P Lyakhov, N Nagornov
Applied Sciences 10 (4), 1223, 2020
402020
Analysis of the quantization noise in discrete wavelet transform filters for image processing
N Chervyakov, P Lyakhov, D Kaplun, D Butusov, N Nagornov
Electronics 7 (8), 135, 2018
402018
High-performance digital filtering on truncated multiply-accumulate units in the residue number system
P Lyakhov, M Valueva, G Valuev, N Nagornov
IEEE Access 8, 209181-209190, 2020
262020
Residue number system-based solution for reducing the hardware cost of a convolutional neural network
NI Chervyakov, PA Lyakhov, MA Deryabin, NN Nagornov, MV Valueva, ...
Neurocomputing 407, 439-453, 2020
262020
A method of increasing digital filter performance based on truncated multiply-accumulate units
P Lyakhov, M Valueva, G Valuev, N Nagornov
Applied Sciences 10 (24), 9052, 2020
152020
Quantization noise of multilevel discrete wavelet transform filters in image processing
NI Chervyakov, PA Lyakhov, NN Nagornov
Optoelectronics, Instrumentation and Data Processing 54, 608-616, 2018
15*2018
System for the recognizing of pigmented skin lesions with fusion and analysis of heterogeneous data based on a multimodal neural network
PA Lyakhov, UA Lyakhova, NN Nagornov
Cancers 14 (7), 1819, 2022
132022
Hardware implementation of a convolutional neural network using calculations in the residue number system
NI Chervyakov, PA Lyakhov, NN Nagornov, MV Valueva, GV Valuev
Computer Optics 43 (5), 857-868, 2019
132019
Survey of optimization algorithms in modern neural networks
R Abdulkadirov, P Lyakhov, N Nagornov
Mathematics 11 (11), 2466, 2023
102023
RNS-based FPGA accelerators for high-quality 3D medical image wavelet processing using scaled filter coefficients
NN Nagornov, PA Lyakhov, MV Valueva, MV Bergerman
IEEE Access 10, 19215-19231, 2022
92022
Digital filter architecture with calculations in the residue number system by Winograd method F (2× 2, 2× 2)
M Valueva, P Lyakhov, G Valuev, N Nagornov
IEEE Access 9, 143331-143340, 2021
92021
High-performance hardware 3D medical imaging using wavelets in the residue number system
NI Chervyakov, PA Lyakhov, NN Nagornov, MV Valueva, DI Kaplun
2020 9th Mediterranean Conference on Embedded Computing (MECO), 1-4, 2020
82020
Implementation of smoothing image filtering in the residue number system
NI Chervyakov, PA Lyakhov, NN Nagornov, DI Kaplun, AS Voznesenskiy, ...
2019 8th Mediterranean Conference on Embedded Computing (MECO), 1-4, 2019
82019
Accelerating extreme search of multidimensional functions based on natural gradient descent with Dirichlet distributions
R Abdulkadirov, P Lyakhov, N Nagornov
Mathematics 10 (19), 3556, 2022
72022
On the computational complexity of 2D filtering by Winograd method
PA Lyakhov, AS Abdulsalyamova, NF Semyonova, NN Nagornov, ...
2022 11th Mediterranean Conference on Embedded Computing (MECO), 1-4, 2022
62022
Low-bit hardware implementation of DWT for 3D medical images processing
PA Lyakhov, MV Valueva, NN Nagornov, NI Chervyakov, DI Kaplun
2020 IEEE Conference of Russian Young Researchers in Electrical and …, 2020
62020
Коррекция ошибок при передаче и обработке информации, представленной в СОК, методом синдромного декодирования
НИ Червяков, НН Нагорнов
Наука. Инновации. Технологии, 15-40, 2015
52015
High-performance digital image filtering architectures in the residue number system based on the Winograd method
MV Valueva, PA Lyakhov, NN Nagornov, GV Valuev
Computer Optics 46 (5), 752-762, 2022
32022
Analysis of the quantization noise of linear time-invariant filters for image processing
PA Lyakhov, NN Nagornov, NI Chervyakov, DI Kaplun
2019 IEEE Conference of Russian Young Researchers in Electrical and …, 2019
32019
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