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 | 611 | 2020 |
Модулярная арифметика и ее приложения в инфокоммуникационных технологиях НИ Червяков, АА Коляда, ПА Ляхов, МГ Бабенко, ИН Лавриненко, ... Москва: Физматлит, 2017 | 101* | 2017 |
An approximate method for comparing modular numbers and its application to the division of numbers in residue number systems NI Chervyakov, MG Babenko, PA Lyakhov, IN Lavrinenko Cybernetics and Systems Analysis 50 (6), 977-984, 2014 | 65* | 2014 |
Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem NI Chervyakov, AS Molahosseini, PA Lyakhov, MG Babenko, ... International Journal of Computer Mathematics 94 (9), 1833-1849, 2017 | 64 | 2017 |
Digital filtering of images in a residue number system using finite-field wavelets NI Chervyakov, PA Lyakhov, MG Babenko Automatic Control and Computer Sciences 48 (3), 180-189, 2014 | 58 | 2014 |
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 | 42 | 2020 |
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 | 42 | 2018 |
Approximate method of implementation non-modular operations in the residue number system NI Chervyakov, VM Averbukh, MG Babenko, PA Lyakhov, AV Gladkov, ... Fundamental research, 189-193, 2012 | 42* | 2012 |
Two methods of adaptive median impulse noise filtering on images NI Chervyakov, PA Lyakhov, AR Orazaev Computer optics 42 (4), 667-678, 2018 | 38* | 2018 |
An efficient method of error correction in fault-tolerant modular neurocomputers NI Chervyakov, PA Lyakhov, MG Babenko, AI Garyanina, IN Lavrinenko, ... Neurocomputing 205, 32-44, 2016 | 33 | 2016 |
Increasing of convolutional neural network performance using residue number system NI Chervyakov, PA Lyakhov, MV Valueva 2017 International Multi-Conference on Engineering, Computer and Information …, 2017 | 31 | 2017 |
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 | 28 | 2020 |
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 | 26 | 2020 |
A New Method for Adaptive Median Filtering of Images PA Lyakhov, AR Orazaev, NI Chervyakov, DI Kaplun 2019 IEEE Conference of Russian Young Researchers in Electrical and …, 2019 | 25 | 2019 |
Survey of Optimization Algorithms in Modern Neural Networks R Abdulkadirov, P Lyakhov, N Nagornov Mathematics 11 (11), 2466, 2023 | 20 | 2023 |
Design and Implementation of Novel Efficient Full Adder/Subtractor Circuits Based on Quantum-Dot Cellular Automata Technology M Vahabi, P Lyakhov, AN Bahar Applied Sciences 11 (18), 8717, 2021 | 20 | 2021 |
The architecture of a fault-tolerant modular neurocomputer based on modular number projections NI Chervyakov, PA Lyakhov, MG Babenko, IN Lavrinenko, AV Lavrinenko, ... Neurocomputing 272, 96-107, 2018 | 20 | 2018 |
Construction of Residue Number System Using Hardware Efficient Diagonal Function M Valueva, G Valuev, N Semyonova, P Lyakhov, N Chervyakov, D Kaplun, ... Electronics 8 (6), 694, 2019 | 19 | 2019 |
System for Neural Network Determination of Atrial Fibrillation on ECG Signals with Wavelet-Based Preprocessing P Lyakhov, M Kiladze, U Lyakhova Applied Sciences 11 (16), 7213, 2021 | 17 | 2021 |
Efficient implementation of modular multiplication by constants applied to RNS reverse converters R de Matos, R Paludo, N Chervyakov, PA Lyakhov, H Pettenghi 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 17 | 2017 |