Pavel Alekseevich Lyakhov

29 papers C 1Misc 1Journal 16Unranked 11

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images. MECO Pavel Alekseevich Lyakhov, Alexander S. Voznesensky, Evgeniy D. Shalugin, Anzor R. Orazaev, Valentina A. Baboshina
2022	—	`conf`	Efficient Probabilistic Filtering of Data Subject to Channel Noise Under Local Pooling Conditions. MECO Pavel Alekseevich Lyakhov, Diana I. Kalita, Aleksandr M. Sinitca, Alexander S. Voznesensky
2022	J	`jnl`	High Performance Parallel Pseudorandom Number Generator on Cellular Automata. Symmetry Alla Levina, Daniyar Mukhamedjanov, Danil Bogaevskiy, Pavel Alekseevich Lyakhov, Maria V. Valueva, Dmitrii I. Kaplun
2022	J	`jnl`	Moving Object Detection Based on a Combination of Kalman Filter and Median Filtering. Big Data Cogn. Comput. Diana I. Kalita, Pavel Alekseevich Lyakhov
2022	J	`jnl`	Neural network system for analyzing statistical factors of patients for predicting the survival of dental implants. Frontiers Neuroinformatics Pavel Alekseevich Lyakhov, Alexander Alexandrovich Dolgalev, Uliana A. Lyakhova, Alexandr Alexandrovich Muraev, Kirill Evgenievich Zolotayev, Dmitry Yurievich Semerikov
2022	—	`conf`	On the Computational Complexity of 2D Filtering by Winograd Method. MECO Pavel Alekseevich Lyakhov, Albina S. Abdulsalyamova, Nataliya Semyonova, Nikolay N. Nagornov, Alexander S. Voznesensky, Dmitrii I. Kaplun
2022	J	`jnl`	RNS-Based FPGA Accelerators for High-Quality 3D Medical Image Wavelet Processing Using Scaled Filter Coefficients. IEEE Access Nikolay N. Nagornov, Pavel Alekseevich Lyakhov, Maria V. Valueva, Maxim V. Bergerman
2021	—	`conf`	A New Method of Sign Detection in RNS Based on Modified Chinese Remainder Theorem. MECO Pavel Alekseevich Lyakhov, Maria V. Valueva, Dmitry I. Kaplun, Alexander S. Voznesensky
2021	—	`conf`	Design Reverse Converter for Balanced RNS with Three Low-cost Modules. MECO Pavel Alekseevich Lyakhov, Maxim V. Bergerman, Nataliya Semyonova, Dmitrij I. Kaplun, Alexander S. Voznesensky
2021	J	`jnl`	Digital Filter Architecture With Calculations in the Residue Number System by Winograd Method F (2 × 2, 2 × 2). IEEE Access Maria V. Valueva, Pavel Alekseevich Lyakhov, Georgii V. Valuev, Nikolay N. Nagornov
2021	—	`conf`	Single Image Super-Resolution Method Based on Bilinear Interpolation and U-Net Combination. MECO Pavel Alekseevich Lyakhov, Georgii V. Valuev, Maria V. Valueva, Dmitry I. Kaplun, Aleksandr Sinitca
2020	J	`jnl`	Application of the residue number system to reduce hardware costs of the convolutional neural network implementation. Math. Comput. Simul. Maria V. Valueva, N. N. Nagornov, Pavel Alekseevich Lyakhov, Georgii V. Valuev, Nikolay I. Chervyakov
2020	J	`jnl`	Classification of Moduli Sets for Residue Number System With Special Diagonal Functions. IEEE Access Peter G. Boyvalenkov, Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Nataliya Semyonova, Anton S. Nazarov, Maria V. Valueva, Georgi Boyvalenkov, Danil Bogaevskiy, Dmitry I. Kaplun
2020	J	`jnl`	High-Performance Digital Filtering on Truncated Multiply-Accumulate Units in the Residue Number System. IEEE Access Pavel Alekseevich Lyakhov, Maria V. Valueva, Georgii V. Valuev, Nikolay N. Nagornov
2020	—	`conf`	High-Performance Hardware 3D Medical Imaging using Wavelets in the Residue Number System. MECO Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Nikolay N. Nagornov, Maria V. Valueva, Dmitrii I. Kaplun
2020	—	`conf`	Method for Determining Skin Lesions from Images Using Neural Network. MECO Uliana A. Lyakhova, Pavel Alekseevich Lyakhov, Nikolay I. Chervyakov, Dmitrii I. Kaplun, Alexander S. Voznesensky
2020	—	`conf`	Method of Oriented Contour Detection on Image Using Lorentz Function. MECO Pavel Alekseevich Lyakhov, Albina S. Abdulsalyamova, Maria R. Kiladze, Dmitrii I. Kaplun, Alexander S. Voznesensky
2020	J	`jnl`	Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network. Neurocomputing Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Maxim Anatolievich Deryabin, N. N. Nagornov, Maria V. Valueva, Georgii V. Valuev
2019	—	`conf`	Hardware Implementation of Video Processing Device using Residue Number System. TSP Dmitrii I. Kaplun, Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Andrey S. Ionisyan, Maria V. Valueva, Vyacheslav V. Gulvanskiy, Rangababu Peesapati
2019	—	`conf`	Implementation of Smoothing Image Filtering in the Residue Number System. MECO Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Nikolay N. Nagornov, Dmitrii I. Kaplun, Alexander S. Voznesenskiy, Danil V. Bogayevskiy
2018	J	`jnl`	A new model to optimize the architecture of a fault-tolerant modular neurocomputer. Neurocomputing Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko, Maxim Anatolievich Deryabin, Anton S. Nazarov
2018	Misc	`conf`	Area-Efficient FPGA Implementation of Minimalistic Convolutional Neural Network Using Residue Number System. FRUCT Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Maria V. Valueva, Georgii V. Valuev, Dmitrii I. Kaplun, George A. Efimenko, Denis V. Gnezdilov
2018	J	`jnl`	Efficient RNS Reverse Converters for Moduli Sets with Dynamic Ranges Up to \((10n+1)\) -bit. Circuits Syst. Signal Process. Héctor Pettenghi, Rogerio Paludo, Roberto de Matos, Pavel Alekseevich Lyakhov
2018	J	`jnl`	The architecture of a fault-tolerant modular neurocomputer based on modular number projections. Neurocomputing Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko, Anton S. Nazarov
2017	C	`conf`	Efficient implementation of modular multiplication by constants applied to RNS reverse converters. ISCAS Roberto de Matos, Rogerio Paludo, Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Héctor Pettenghi
2017	J	`jnl`	Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem. Int. J. Comput. Math. Nikolay I. Chervyakov, Amir Sabbagh Molahosseini, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, Maxim Anatolievich Deryabin
2016	J	`jnl`	An efficient method of error correction in fault-tolerant modular neurocomputers. Neurocomputing Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, A. I. Garyanina, Irina N. Lavrinenko, Anton V. Lavrinenko, Maxim Anatolievich Deryabin
2015	J	`jnl`	Comparison of modular numbers based on the chinese remainder theorem with fractional values. Autom. Control. Comput. Sci. Nikolay I. Chervyakov, Amir Sabbagh Molahosseini, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko
2014	J	`jnl`	Digital filtering of images in a residue number system using finite-field wavelets. Autom. Control. Comput. Sci. Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko