Digital filtering of images in a residue number system using finite-field wavelets. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Mikhail G. Babenko (Autom. Control. Comput. Sci., 2014)

The EC Sequences on Points of an Elliptic Curve Realization Using Neural Networks. - Nikolay Ivanovich Chervyakov; Mikhail Grigorevich Babenko; Maxim Anatolievich Deryabin; Nikolay Nikolaevich Kucherov; Nataliya Nikolaevna Kuchukova (AECIA, 2015)

Researches of Algorithm of PRNG on the Basis of Bilinear Pairing on Points of an Elliptic Curve with Use of a Neural Network. - Nikolay Ivanovich Chervyakov; Mikhail Grigorevich Babenko; Nikolay Nikolaevich Kucherov; Viktor Andreevich Kuchukov; Maria Nikolaevna Shabalina (AECIA, 2015)

The Effective Neural Network Implementation of the Secret Sharing Scheme with the Use of Matrix Projections on FPGA. - Nikolay Ivanovich Chervyakov; Mikhail Grigorevich Babenko; Nikolay Nikolaevich Kucherov; Anastasiia Igorevna Garianina (ICSI (3), 2015)

Comparison of modular numbers based on the chinese remainder theorem with fractional values. - Nikolay I. Chervyakov; Amir Sabbagh Molahosseini; Pavel Alekseevich Lyakhov; Mikhail G. Babenko; Irina N. Lavrinenko; Anton V. Lavrinenko (Autom. Control. Comput. Sci., 2015)

An efficient method of error correction in fault-tolerant modular neurocomputers. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Mikhail G. Babenko; A. I. Garyanina; Irina N. Lavrinenko; Anton V. Lavrinenko; Maxim Anatolievich Deryabin (Neurocomputing, 2016)

Unfairness Correction in P2P Grids Based on Residue Number System of a Special Form. - Mikhail Grigorevich Babenko; Nikolay Ivanovich Chervyakov; Andrei Tchernykh; Nikolay Nikolaevich Kucherov; Maria Nikolaevna Shabalina; Irina Vashchenko; Gleb I. Radchenko; Daniil Murga (DEXA Workshops, 2017)

Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing. - 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 (DEXA Workshops, 2017)

Efficient implementation of modular multiplication by constants applied to RNS reverse converters. - Roberto de Matos; Rogerio Paludo; Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Héctor Pettenghi (ISCAS, 2017)

Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem. - Nikolay I. Chervyakov; Amir Sabbagh Molahosseini; Pavel Alekseevich Lyakhov; Mikhail G. Babenko; Maxim Anatolievich Deryabin (Int. J. Comput. Math., 2017)

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 (FRUCT, 2018)

Secure Verifiable Secret Short Sharing Scheme for Multi-Cloud Storage. - Maxim Anatolievich Deryabin; Nikolay I. Chervyakov; Andrei Tchernykh; Mikhail G. Babenko; Nikolay Nikolaevich Kucherov; Vanessa Miranda-López; Arutyun Avetisyan (HPCS, 2018)

AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. - 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 (Int. J. Approx. Reason., 2018)

High Performance Parallel Computing in Residue Number System. - Maxim Anatolievich Deryabin; Nikolay I. Chervyakov; Andrei Tchernykh; Mikhail G. Babenko; Maria Nikolaevna Shabalina (Int. J. Comb. Optim. Probl. Informatics, 2018)

Reliability Improvement of Information Systems by Residue Number System Code. - Anton S. Nazarov; Nikolay I. Chervyakov; Andrei Tchernykh; Mikhail G. Babenko (Int. J. Comb. Optim. Probl. Informatics, 2018)

A new model to optimize the architecture of a fault-tolerant modular neurocomputer. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Mikhail G. Babenko; Irina N. Lavrinenko; Anton V. Lavrinenko; Maxim Anatolievich Deryabin; Anton S. Nazarov (Neurocomputing, 2018)

The architecture of a fault-tolerant modular neurocomputer based on modular number projections. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Mikhail G. Babenko; Irina N. Lavrinenko; Anton V. Lavrinenko; Anton S. Nazarov (Neurocomputing, 2018)

Comparative Performance Analysis of Information Dispersal Methods. - Maxim Anatolievich Deryabin; Nikolay I. Chervyakov; Andrei Tchernykh; Viktor Berezhnoy; Anvar Djurabaev; Anton S. Nazarov; Mikhail G. Babenko (FRUCT, 2019)

Implementation of Smoothing Image Filtering in the Residue Number System. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Nikolay N. Nagornov; Dmitrii I. Kaplun; Alexander S. Voznesenskiy; Danil V. Bogayevskiy (MECO, 2019)

Hardware Implementation of Video Processing Device using Residue Number System. - Dmitrii I. Kaplun; Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Andrey S. Ionisyan; Maria V. Valueva; Vyacheslav V. Gulvanskiy; Rangababu Peesapati (TSP, 2019)

AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security. - Nikolay I. Chervyakov; Mikhail G. Babenko; Andrei Tchernykh; Nikolay Nikolaevich Kucherov; Vanessa Miranda-López; Jorge M. Cortés-Mendoza (Future Gener. Comput. Syst., 2019)

Positional Characteristics for Efficient Number Comparison over the Homomorphic Encryption. - Mikhail G. Babenko; Andrei Tchernykh; Nikolay I. Chervyakov; Viktor Andreevich Kuchukov; Vanessa Miranda-López; Raúl Rivera-Rodríguez; Zhihui Du; El-Ghazali Talbi (Program. Comput. Softw., 2019)

High-Performance Hardware 3D Medical Imaging using Wavelets in the Residue Number System. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Nikolay N. Nagornov; Maria V. Valueva; Dmitrii I. Kaplun (MECO, 2020)

Method for Determining Skin Lesions from Images Using Neural Network. - Uliana A. Lyakhova; Pavel Alekseevich Lyakhov; Nikolay I. Chervyakov; Dmitrii I. Kaplun; Alexander S. Voznesensky (MECO, 2020)

Classification of Moduli Sets for Residue Number System With Special Diagonal Functions. - Peter G. Boyvalenkov; Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Nataliya Semyonova; Anton S. Nazarov; Maria V. Valueva; Georgi Boyvalenkov; Danil Bogaevskiy; Dmitry I. Kaplun (IEEE Access, 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)

Scalable Data Storage Design for Nonstationary IoT Environment With Adaptive Security and Reliability. - Andrei Tchernykh; Mikhail G. Babenko; Nikolay I. Chervyakov; Vanessa Miranda-López; Arutyun Avetisyan; Alexander Yu. Drozdov; Raúl Rivera-Rodríguez; Gleb I. Radchenko; Zhihui Du (IEEE Internet Things J., 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)