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ORCIDNikolay I. Chervyakov
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Journal Articles
- 2020
[j15]Peter G. Boyvalenkov
, Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Nataliya Semyonova, Anton S. 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: 156104-156116 (2020)- [j14]Nikolay I. Chervyakov, Pavel Alekseevich 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: 439-453 (2020) - [j13]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): 10171-10188 (2020) - [j12]Maria V. Valueva, N. N. Nagornov, Pavel Alekseevich 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: 232-243 (2020) - 2019
- [j11]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: 1080-1092 (2019) - [j10]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): 532-543 (2019) - 2018
- [j9]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: 60-73 (2018) - [j8]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): 62-67 (2018) - [j7]Anton S. 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): 81-84 (2018) - [j6]Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko, Anton S. Nazarov:
The architecture of a fault-tolerant modular neurocomputer based on modular number projections. Neurocomputing 272: 96-107 (2018) - [j5]Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko, Maxim Anatolievich Deryabin, Anton S. Nazarov:
A new model to optimize the architecture of a fault-tolerant modular neurocomputer. Neurocomputing 303: 37-46 (2018) - 2017
- [j4]Nikolay I. Chervyakov, Amir Sabbagh Molahosseini, Pavel Alekseevich 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): 1833-1849 (2017) - 2016
- [j3]Nikolay I. Chervyakov, Pavel Alekseevich 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: 32-44 (2016) - 2015
- [j2]Nikolay I. Chervyakov, Amir Sabbagh Molahosseini, Pavel Alekseevich 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): 354-365 (2015) - 2014
- [j1]Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko:
Digital filtering of images in a residue number system using finite-field wavelets. Autom. Control. Comput. Sci. 48(3): 180-189 (2014)
Conference and Workshop Papers
- 2020
- [c13]Nikolay I. Chervyakov, Pavel Alekseevich 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: 1-4 - [c12]Uliana A. Lyakhova, Pavel Alekseevich Lyakhov, Nikolay I. Chervyakov, Dmitrii I. Kaplun, Alexander S. Voznesensky:
Method for Determining Skin Lesions from Images Using Neural Network. MECO 2020: 1-4 - 2019
- [c11]Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Viktor Berezhnoy, Anvar Djurabaev, Anton S. Nazarov, Mikhail G. Babenko:
Comparative Performance Analysis of Information Dispersal Methods. FRUCT 2019: 67-74 - [c10]Nikolay I. Chervyakov, Pavel Alekseevich 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: 1-4 - [c9]Dmitrii I. Kaplun, Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Andrey S. Ionisyan, Maria V. Valueva, Vyacheslav V. Gulvanskiy, Rangababu Peesapati:
Hardware Implementation of Video Processing Device using Residue Number System. TSP 2019: 701-704 - 2018
- [c8]Nikolay I. Chervyakov, Pavel Alekseevich 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: 112-118 - [c7]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: 700-706 - 2017
- [c6]Andrei Tchernykh, Mikhail Grigorevich Babenko, Nikolay Ivanovich Chervyakov, Jorge M. Cortés-Mendoza, Nikolay Nikolaevich Kucherov, Vanessa Miranda-López, Maxim Anatolievich Deryabin, Inna Dvoryaninova, Gleb I. Radchenko:
Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing. DEXA Workshops 2017: 137-141 - [c5]Mikhail Grigorevich Babenko, Nikolay Ivanovich Chervyakov, Andrei Tchernykh, Nikolay Nikolaevich Kucherov, Maria Nikolaevna Shabalina, Irina Vashchenko, Gleb I. Radchenko, Daniil Murga:
Unfairness Correction in P2P Grids Based on Residue Number System of a Special Form. DEXA Workshops 2017: 147-151 - [c4]Roberto de Matos, Rogerio Paludo, Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Héctor Pettenghi:
Efficient implementation of modular multiplication by constants applied to RNS reverse converters. ISCAS 2017: 1-4 - 2015
- [c3]Nikolay Ivanovich Chervyakov, Mikhail Grigorevich Babenko, Maxim Anatolievich Deryabin, Nikolay Nikolaevich Kucherov, Nataliya Nikolaevna Kuchukova:
The EC Sequences on Points of an Elliptic Curve Realization Using Neural Networks. AECIA 2015: 147-154 - [c2]Nikolay Ivanovich Chervyakov, Mikhail Grigorevich Babenko, Nikolay Nikolaevich Kucherov, Viktor Andreevich Kuchukov, Maria Nikolaevna Shabalina:
Researches of Algorithm of PRNG on the Basis of Bilinear Pairing on Points of an Elliptic Curve with Use of a Neural Network. AECIA 2015: 167-173 - [c1]Nikolay Ivanovich Chervyakov, Mikhail Grigorevich Babenko, Nikolay Nikolaevich Kucherov, Anastasiia Igorevna Garianina:
The Effective Neural Network Implementation of the Secret Sharing Scheme with the Use of Matrix Projections on FPGA. ICSI (3) 2015: 3-10
Coauthor Index
aka: Mikhail Grigorevich Babenko
aka: Pavel Alekseevich Lyakhov
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