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Georgii V. Valuev
ORCID
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 10
Top Topics
Smart City
Bilinear Interpolation
Convolutional Neural Network
Fpga Implementation
Top Venues
IEEE Access
Math. Comput. Simul.
FRUCT
ICSC-Cities
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Publications
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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)
Mikhail G. Babenko
,
Elena Golimblevskaia
,
Andrei Tchernykh
,
Egor Shiriaev
,
Tatiana Ermakova
,
Luis Bernardo Pulido-Gaytan
,
Georgii V. Valuev
,
Arutyun Avetisyan
,
Lana A. Gagloeva
A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption.
Big Data Cogn. Comput.
7 (2) (2023)
Andrei Gladkov
,
Egor Shiriaev
,
Andrei Tchernykh
,
Maxim Deryabin
,
Ekaterina Bezuglova
,
Georgii V. Valuev
,
Mikhail G. Babenko
SNS-Based Secret Sharing Scheme for Security of Smart City Communication Systems.
ICSC-Cities
(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
,
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)
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)
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
,
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)