Pavel A. Lyakhov

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 36

Top Topics

Chinese Remainder Theorem

Bilinear Interpolation

Median Filtering

Top Venues

Autom. Control. Comput. Sci.

Publications

Mohsen Vahabi, Ehsan Rahimi, Pavel A. Lyakhov
Efficient design and implementation of a reversible switched network in quantum cellular automata technology. J. King Saud Univ. Comput. Inf. Sci. 36 (1) (2024)
Uliana A. Lyakhova, Pavel A. Lyakhov
Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects. Comput. Biol. Medicine 178 (2024)
Nikolay N. Nagornov, Pavel A. Lyakhov, Maxim V. Bergerman, Diana I. Kalita
Modern Trends in Improving the Technical Characteristics of Devices and Systems for Digital Image Processing. IEEE Access 12 (2024)
Maria R. Kiladze, Ulyana A. Lyakhova, Pavel A. Lyakhov, Nikolay N. Nagornov, Mohsen Vahabi
Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-Load Electrocardiogram Signals. IEEE Access 11 (2023)
Pavel A. Lyakhov, Ulyana A. Lyakhova, Diana I. Kalita
Multimodal Analysis of Unbalanced Dermatological Data for Skin Cancer Recognition. IEEE Access 11 (2023)
Pavel A. Lyakhov, Diana I. Kalita
Reliable Kalman Filtering with Conditionally Local Calculations in Wireless Sensor Networks. Autom. Control. Comput. Sci. 57 (2) (2023)
Pavel A. Lyakhov, Maxim V. Bergerman, Ruslan Abdulkadirov, Albina S. Abdulsalyamova, Nikolay N. Nagornov, Alexander S. Voznesenskiy, Dmitrii V. Minenkov, Dmitrii I. Kaplun
A novel sign detection method in residue number system based on Chinese remainder theorem with fractional values. Microprocess. Microsystems 102 (2023)
Peter G. Boyvalenkov, Pavel A. Lyakhov, Nataliya Semyonova, Maria V. Valueva, Georgi Boyvalenkov, Dmitrii V. Minenkov, Dmitrii I. Kaplun
Residue number systems with six modules and efficient circuits based on power-of-two diagonal modulus. Comput. Electr. Eng. 110 (2023)
Pavel A. Lyakhov
Area-Efficient digital filtering based on truncated multiply-accumulate units in residue number system 2n-1,2n,2n+1. J. King Saud Univ. Comput. Inf. Sci. 35 (6) (2023)
Mohsen Vahabi, Ehsan Rahimi, Pavel A. Lyakhov, Akira Otsuki
A novel QCA circuit-switched network with power dissipation analysis for nano communication applications. Nano Commun. Networks 35 (2023)
Pavel A. Lyakhov, Albina S. Abdulsalyamova, Nataliya Semyonova, Nikolay N. Nagornov, Alexander S. Voznesensky, Dmitrii I. Kaplun
On the Computational Complexity of 2D Filtering by Winograd Method. MECO (2022)
Pavel A. Lyakhov, Alexander S. Voznesensky, Evgeniy D. Shalugin, Anzor R. Orazaev, Valentina A. Baboshina
Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images. MECO (2022)
Pavel A. Lyakhov, Diana I. Kalita, Aleksandr M. Sinitca, Alexander S. Voznesensky
Efficient Probabilistic Filtering of Data Subject to Channel Noise Under Local Pooling Conditions. MECO (2022)
Nikolay N. Nagornov, Pavel A. Lyakhov, Maria V. Valueva, Maxim V. Bergerman
RNS-Based FPGA Accelerators for High-Quality 3D Medical Image Wavelet Processing Using Scaled Filter Coefficients. IEEE Access 10 (2022)
Alla Levina, Daniyar Mukhamedjanov, Danil Bogaevskiy, Pavel A. Lyakhov, Maria V. Valueva, Dmitrii I. Kaplun
High Performance Parallel Pseudorandom Number Generator on Cellular Automata. Symmetry 14 (9) (2022)
Diana I. Kalita, Pavel A. Lyakhov
Moving Object Detection Based on a Combination of Kalman Filter and Median Filtering. Big Data Cogn. Comput. 6 (4) (2022)
Pavel A. Lyakhov, Maxim Bergerman, Nataliya Semyonova, Dmitrij Kaplun, Alexander S. Voznesensky
Design Reverse Converter for Balanced RNS with Three Low-cost Modules. MECO (2021)
Maria V. Valueva, Pavel A. Lyakhov, Georgii V. Valuev, Nikolay N. Nagornov
Digital Filter Architecture With Calculations in the Residue Number System by Winograd Method F (2 × 2, 2 × 2). IEEE Access 9 (2021)
Pavel A. Lyakhov, Maria V. Valueva, Dmitry I. Kaplun, Alexander S. Voznesensky
A New Method of Sign Detection in RNS Based on Modified Chinese Remainder Theorem. MECO (2021)
Pavel A. Lyakhov, Georgii V. Valuev, Maria V. Valueva, Dmitry I. Kaplun, Aleksandr Sinitca
Single Image Super-Resolution Method Based on Bilinear Interpolation and U-Net Combination. MECO (2021)
Uliana A. Lyakhova, Pavel A. Lyakhov, Nikolay I. Chervyakov, Dmitrii I. Kaplun, Alexander S. Voznesensky
Method for Determining Skin Lesions from Images Using Neural Network. MECO (2020)
Nikolay I. Chervyakov, Pavel A. Lyakhov, Nikolay N. Nagornov, Maria V. Valueva, Dmitrii I. Kaplun
High-Performance Hardware 3D Medical Imaging using Wavelets in the Residue Number System. MECO (2020)
Maria V. Valueva, N. N. Nagornov, Pavel A. Lyakhov, Georgii V. Valuev, Nikolay I. Chervyakov
Application of the residue number system to reduce hardware costs of the convolutional neural network implementation. Math. Comput. Simul. 177 (2020)
Pavel A. Lyakhov, Albina S. Abdulsalyamova, Maria R. Kiladze, Dmitrii I. Kaplun, Alexander S. Voznesensky
Method of Oriented Contour Detection on Image Using Lorentz Function. MECO (2020)
Peter G. Boyvalenkov, Nikolay I. Chervyakov, Pavel A. Lyakhov, Nataliya Semyonova, Anton Nazarov, Maria V. Valueva, Georgi Boyvalenkov, Danil Bogaevskiy, Dmitry I. Kaplun
Classification of Moduli Sets for Residue Number System With Special Diagonal Functions. IEEE Access 8 (2020)
Nikolay I. Chervyakov, Pavel A. Lyakhov, Maxim Anatolievich Deryabin, N. N. Nagornov, Maria V. Valueva, Georgii V. Valuev
Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network. Neurocomputing 407 (2020)
Pavel A. Lyakhov, Maria V. Valueva, Georgii V. Valuev, Nikolay N. Nagornov
High-Performance Digital Filtering on Truncated Multiply-Accumulate Units in the Residue Number System. IEEE Access 8 (2020)
Nikolay I. Chervyakov, Pavel A. Lyakhov, Nikolay N. Nagornov, Dmitrii I. Kaplun, Alexander S. Voznesenskiy, Danil V. Bogayevskiy
Implementation of Smoothing Image Filtering in the Residue Number System. MECO (2019)
Dmitrii I. Kaplun, Nikolay I. Chervyakov, Pavel A. Lyakhov, Andrey S. Ionisyan, Maria V. Valueva, Vyacheslav V. Gulvanskiy, Rangababu Peesapati
Hardware Implementation of Video Processing Device using Residue Number System. TSP (2019)
Nikolay I. Chervyakov, Pavel A. Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko, Maxim Anatolievich Deryabin, A. S. Nazarov
A new model to optimize the architecture of a fault-tolerant modular neurocomputer. Neurocomputing 303 (2018)
Héctor Pettenghi, Rogerio Paludo, Roberto de Matos, Pavel A. Lyakhov
Efficient RNS Reverse Converters for Moduli Sets with Dynamic Ranges Up to \((10n+1)\) -bit. Circuits Syst. Signal Process. 37 (11) (2018)
Nikolay I. Chervyakov, Pavel A. Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko, A. S. Nazarov
The architecture of a fault-tolerant modular neurocomputer based on modular number projections. Neurocomputing 272 (2018)
Nikolay I. Chervyakov, Pavel A. Lyakhov, Maria V. Valueva, Georgii V. Valuev, Dmitrii I. Kaplun, George A. Efimenko, Denis V. Gnezdilov
Area-Efficient FPGA Implementation of Minimalistic Convolutional Neural Network Using Residue Number System. FRUCT (2018)
Roberto de Matos, Rogerio Paludo, Nikolay I. Chervyakov, Pavel A. Lyakhov, Héctor Pettenghi
Efficient implementation of modular multiplication by constants applied to RNS reverse converters. ISCAS (2017)
Nikolay I. Chervyakov, Amir Sabbagh Molahosseini, Pavel A. Lyakhov, Mikhail G. Babenko, Maxim Anatolievich Deryabin
Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem. Int. J. Comput. Math. 94 (9) (2017)
Nikolay I. Chervyakov, Pavel A. Lyakhov, Mikhail G. Babenko, A. I. Garyanina, Irina N. Lavrinenko, Anton V. Lavrinenko, Maxim Anatolievich Deryabin
An efficient method of error correction in fault-tolerant modular neurocomputers. Neurocomputing 205 (2016)
Nikolay I. Chervyakov, Amir Sabbagh Molahosseini, Pavel A. Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko
Comparison of modular numbers based on the chinese remainder theorem with fractional values. Autom. Control. Comput. Sci. 49 (6) (2015)
Nikolay I. Chervyakov, Pavel A. Lyakhov, Mikhail G. Babenko
Digital filtering of images in a residue number system using finite-field wavelets. Autom. Control. Comput. Sci. 48 (3) (2014)