Maria V. Valueva

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Hardware Implementation

Bilinear Interpolation

Computational Complexity

Convolutional Neural Network

Top Venues

Math. Comput. Simul.

Comput. Electr. Eng.

Publications

Georgii V. Valuev, Maria V. Valueva, Mikhail G. Babenko, Andrei Tchernykh
Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System. IEEE Access 11 (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)
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)
Maria V. Valueva, Georgii V. Valuev, Mikhail G. Babenko, Andrei Tchernykh, Jorge M. Cortés-Mendoza
Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System. Program. Comput. Softw. 48 (8) (2022)
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)
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)
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)
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, 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)