Nikolay I. Chervyakov

发表

AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security

Nikolay I. Chervyakov, Mikhail G. Babenko, Andrei Tchernykh, 2017, Future Gener. Comput. Syst..

Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing

Nikolay I. Chervyakov, Mikhail G. Babenko, Andrei Tchernykh, 2017, 2017 28th International Workshop on Database and Expert Systems Applications (DEXA).

Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for 3D Medical Imaging

Nikolay I. Chervyakov, P. A. Lyakhov, N. N. Nagornov, 2020, Applied Sciences.

Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem

Nikolay I. Chervyakov, Mikhail G. Babenko, Amir Sabbagh Molahosseini, 2017, Int. J. Comput. Math..

An efficient method of error correction in fault-tolerant modular neurocomputers

Nikolay I. Chervyakov, Mikhail G. Babenko, Maxim Anatolievich Deryabin, 2016, Neurocomputing.

Reliability Improvement of Information Systems by Residue Number System Code

Andrei Tchernykh, Nikolay I. Chervyakov, Mikhail G. Babenko, 2018, Int. J. Comb. Optim. Probl. Informatics.

A new model to optimize the architecture of a fault-tolerant modular neurocomputer

Nikolay I. Chervyakov, Mikhail G. Babenko, Maxim Anatolievich Deryabin, 2018, Neurocomputing.

Secure Verifiable Secret Short Sharing Scheme for Multi-Cloud Storage

Arutyun Avetisyan, Nikolay I. Chervyakov, Mikhail G. Babenko, 2018, 2018 International Conference on High Performance Computing & Simulation (HPCS).

RNS-Based Image Processing

Nikolay I. Chervyakov, P. A. Lyakhov, 2017 .

The Effective Neural Network Implementation of the Secret Sharing Scheme with the Use of Matrix Projections on FPGA

Nikolay I. Chervyakov, Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, 2015, ICSI.

Researches of Algorithm of PRNG on the Basis of Bilinear Pairing on Points of an Elliptic Curve with Use of a Neural Network

Nikolay I. Chervyakov, Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, 2015, AECIA.

The architecture of a fault-tolerant modular neurocomputer based on modular number projections

Nikolay I. Chervyakov, Mikhail G. Babenko, A. S. Nazarov, 2018, Neurocomputing.

Construction of Residue Number System Using Hardware Efficient Diagonal Function

Nikolay I. Chervyakov, D. V. Bogaevskiy, D. I. Kaplun, 2019 .

Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for Image Processing

D. I. Kaplun, Nikolay I. Chervyakov, Denis N. Butusov, 2018, Electronics.

Unfairness Correction in P2P Grids Based on Residue Number System of a Special Form

Andrei Tchernykh, Nikolay I. Chervyakov, Mikhail G. Babenko, 2017, 2017 28th International Workshop on Database and Expert Systems Applications (DEXA).

Comparison of modular numbers based on the chinese remainder theorem with fractional values

Nikolay I. Chervyakov, Mikhail G. Babenko, Amir Sabbagh Molahosseini, 2015, Automatic Control and Computer Sciences.

About selection of residue system range for image processing

Nikolay I. Chervyakov, P. A. Lyakhov, D. I. Kalita, 2016 .

High-Performance Hardware 3D Medical Imaging using Wavelets in the Residue Number System

Nikolay I. Chervyakov, Dmitrii I. Kaplun, Pavel A. Lyakhov, 2020, 2020 9th Mediterranean Conference on Embedded Computing (MECO).

Low-Bit Hardware Implementation of DWT for 3D Medical Images Processing

Nikolay I. Chervyakov, Dmitrii I. Kaplun, Pavel A. Lyakhov, 2020, 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

High Performance Parallel Computing in Residue Number System

Andrei Tchernykh, Nikolay I. Chervyakov, Mikhail G. Babenko, 2018, Int. J. Comb. Optim. Probl. Informatics.

Efficient implementation of modular multiplication by constants applied to RNS reverse converters

Nikolay I. Chervyakov, Héctor Pettenghi, Roberto de Matos, 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

Secure and Reliable Data Transmission Over MANET Based On Principles of Computationally Secure Secret Sharing

Nikolay I. Chervyakov, Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, 2019 .

AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage

Andrei Tchernykh, Arutyun Avetisyan, Nikolay I. Chervyakov, 2018, Int. J. Approx. Reason..

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

Nikolay I. Chervyakov, Dmitrii I. Kaplun, Pavel A. Lyakhov, 2018, 2018 23rd Conference of Open Innovations Association (FRUCT).

Classification of Moduli Sets for Residue Number System With Special Diagonal Functions

Nikolay I. Chervyakov, Peter Boyvalenkov, Pavel Lyakhov, 2020, IEEE Access.

The EC Sequences on Points of an Elliptic Curve Realization Using Neural Networks

Nikolay I. Chervyakov, Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, 2015, AECIA.

A New Method for Adaptive Median Filtering of Images

Nikolay I. Chervyakov, Dmitrii I. Kaplun, Pavel A. Lyakhov, 2019, 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

The Study of Monotonic Core Functions and Their Use to Build RNS Number Comparators

Stanislaw J. Piestrak, Nikolay I. Chervyakov, Mikhail Babenko, 2021 .