Nikolay I. Chervyakov

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 22

Top Topics

Chinese Remainder Theorem

Convolutional Neural Network

Top Venues

Autom. Control. Comput. Sci.

Publications

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)
Andrei Tchernykh, Mikhail G. Babenko, Nikolay I. Chervyakov, Vanessa Miranda-López, Arutyun Avetisyan, Alexander Yu. Drozdov, Raúl Rivera-Rodríguez, Gleb I. Radchenko, Zhihui Du
Scalable Data Storage Design for Nonstationary IoT Environment With Adaptive Security and Reliability. IEEE Internet Things J. 7 (10) (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)
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)
Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Viktor Berezhnoy, Anvar Djurabaev, Anton Nazarov, Mikhail G. Babenko
Comparative Performance Analysis of Information Dispersal Methods. FRUCT (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, Mikhail G. Babenko, Andrei Tchernykh, Nikolay Nikolaevich Kucherov, Vanessa Miranda-López, Jorge M. Cortés-Mendoza
AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security. Future Gener. Comput. Syst. 92 (2019)
Mikhail G. Babenko, Andrei Tchernykh, Nikolay I. Chervyakov, Viktor Andreevich Kuchukov, Vanessa Miranda-López, Raúl Rivera-Rodríguez, Zhihui Du, El-Ghazali Talbi
Positional Characteristics for Efficient Number Comparison over the Homomorphic Encryption. Program. Comput. Softw. 45 (8) (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)
Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, Vanessa Miranda-López, Arutyun Avetisyan
Secure Verifiable Secret Short Sharing Scheme for Multi-Cloud Storage. HPCS (2018)
Anton Nazarov, Nikolay I. Chervyakov, Andrei Tchernykh, Mikhail G. Babenko
Reliability Improvement of Information Systems by Residue Number System Code. Int. J. Comb. Optim. Probl. Informatics 9 (1) (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)
Andrei Tchernykh, Mikhail G. Babenko, Nikolay I. Chervyakov, Vanessa Miranda-López, Viktor Andreevich Kuchukov, Jorge M. Cortés-Mendoza, Maxim Anatolievich Deryabin, Nikolay Nikolaevich Kucherov, Gleb I. Radchenko, Arutyun Avetisyan
AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. Int. J. Approx. Reason. 102 (2018)
Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Mikhail G. Babenko, Maria Nikolaevna Shabalina
High Performance Parallel Computing in Residue Number System. Int. J. Comb. Optim. Probl. Informatics 9 (1) (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)