Georgii V. Valuev

According to our database, Georgii V. Valuev authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption.

Mikhail G. Babenko, Elena Golimblevskaia, Andrei Tchernykh, Egor M. Shiriaev, Tatiana Ermakova, Luis Bernardo Pulido-Gaytan, Georgii V. Valuev, Arutyun Avetisyan, Lana A. Gagloeva

Big Data Cogn. Comput., 2023

Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System.

Georgii V. Valuev, Maria V. Valueva, Mikhail G. Babenko, Andrei Tchernykh

IEEE Access, 2023

2022

Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System.

Maria V. Valueva, Georgii V. Valuev, Mikhail G. Babenko, Andrei Tchernykh, Jorge M. Cortés-Mendoza

Program. Comput. Softw., 2022

SNS-Based Secret Sharing Scheme for Security of Smart City Communication Systems.

Andrei Gladkov, Egor M. Shiriaev, Andrei Tchernykh, Maxim Deryabin, Ekaterina Bezuglova, Georgii V. Valuev, Mikhail G. Babenko

Proceedings of the Smart Cities - 5th Ibero-American Congress, 2022

2021

Digital Filter Architecture With Calculations in the Residue Number System by Winograd Method F (2 × 2, 2 × 2).

Maria V. Valueva, Pavel Alekseevich Lyakhov, Georgii V. Valuev, Nikolay N. Nagornov

IEEE Access, 2021

Single Image Super-Resolution Method Based on Bilinear Interpolation and U-Net Combination.

Pavel Alekseevich Lyakhov, Georgii V. Valuev, Maria V. Valueva, Dmitry I. Kaplun, Aleksandr Sinitca

Proceedings of the 10th Mediterranean Conference on Embedded Computing, 2021

2020

Application of the residue number system to reduce hardware costs of the convolutional neural network implementation.

Maria V. Valueva, N. N. Nagornov, Pavel Alekseevich Lyakhov, Georgii V. Valuev, Nikolay I. Chervyakov

Math. Comput. Simul., 2020

Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network.

Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Maxim Anatolievich Deryabin, N. N. Nagornov, Maria V. Valueva, Georgii V. Valuev

Neurocomputing, 2020

High-Performance Digital Filtering on Truncated Multiply-Accumulate Units in the Residue Number System.

Pavel Alekseevich Lyakhov, Maria V. Valueva, Georgii V. Valuev, Nikolay N. Nagornov

IEEE Access, 2020

2018

Area-Efficient FPGA Implementation of Minimalistic Convolutional Neural Network Using Residue Number System.

Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Maria V. Valueva, Georgii V. Valuev, Dmitrii I. Kaplun, George A. Efimenko, Denis V. Gnezdilov

Proceedings of the 23rd Conference of Open Innovations Association, 2018