| 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 | 610 | 2020 |
| 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 | 44 | 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 |
| 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 |
| Survey of optimization algorithms in modern neural networks R Abdulkadirov, P Lyakhov, N Nagornov Mathematics 11 (11), 2466, 2023 | 26 | 2023 |
| 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 |
| 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 | 16 | 2022 |
| 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 | 16 | 2020 |
| 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 | 16* | 2018 |
| 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 | 13 | 2019 |
| 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 | 10 | 2022 |
| 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 | 9 | 2021 |
| 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 | 9 | 2020 |
| 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 | 9 | 2019 |
| 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 | 7 | 2022 |
| 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 | 7 | 2020 |
| 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 | 6 | 2022 |
| Коррекция ошибок при передаче и обработке информации, представленной в СОК, методом синдромного декодирования НИ Червяков, НН Нагорнов Наука. Инновации. Технологии, 15-40, 2015 | 5 | 2015 |
| Semantic segmentation system of pigmented skin lesions based on convolutional neural networks VV Fedorenko, UA Lyakhova, NN Nagornov, GA Efimenko, DI Kaplun 2022 11th Mediterranean conference on embedded computing (MECO), 1-5, 2022 | 4 | 2022 |
| 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 | 4 | 2022 |
Pavel LyakhovNorth Caucasus Federal UniversityVerified email at stavsu.ru
