Viktor Andreevich Kuchukov

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 14

Top Topics

Polynomial Approximation

Error Detection

Secret Sharing Scheme

Top Venues

Program. Comput. Softw.

Publications

Andrei Tchernykh, Mikhail G. Babenko, Egor Shiriaev, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Arutyun Avetisyan, Alexander Yu. Drozdov, Viktor Andreevich Kuchukov
An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges. Comput. 10 (2) (2022)
Mikhail G. Babenko, Andrei Tchernykh, Viktor Andreevich Kuchukov
Improved Modular Division Implementation with the Akushsky Core Function. Comput. 10 (1) (2022)
A. Gladkov, Viktor Andreevich Kuchukov, Mikhail G. Babenko, Andrei Tchernykh, Viktor Berezhnoy, Alexander Yu. Drozdov
Modified Error Detection and Localization in the Residue Number System. Program. Comput. Softw. 48 (8) (2022)
Nikolay A. Vershkov, Mikhail G. Babenko, Andrei Tchernykh, Viktor Andreevich Kuchukov, Nikolay Nikolaevich Kucherov, Nataliya Nikolaevna Kuchukova, Alexander Yu. Drozdov
Optimization of Artificial Neural Networks using Wavelet Transforms. Program. Comput. Softw. 48 (6) (2022)
Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, Andrei Tchernykh, Viktor Andreevich Kuchukov, Elena Golimblevskaia, Ekaterina Kuchukova, Irina Vashchenko
Determining the rank of a number in the residue number system. ICCS-DE (2021)
Nikolay Nikolaevich Kucherov, Viktor Andreevich Kuchukov, Elena Golimblevskaia, Nataliya Nikolaevna Kuchukova, Irina Vashchenko, Ekaterina Kuchukova
Efficient implementation of error correction codes in modular code. ICCS-DE (2021)
Nikolay A. Vershkov, Viktor Andreevich Kuchukov, Natalia Nikolaevna Kuchukova, Nikolay Nikolaevich Kucherov, Egor Shiriaev
Optimization of computational complexity of an artificial neural network. ICCS-DE (2021)
Nikolay A. Vershkov, Mikhail G. Babenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Viktor Andreevich Kuchukov, Nataliya Nikolaevna Kuchukova
Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation. Program. Comput. Softw. 47 (8) (2021)
Nikolay Nikolaevich Kucherov, Mikhail G. Babenko, Andrei Tchernykh, Viktor Andreevich Kuchukov, Irina Vashchenko
Increasing reliability and fault tolerance of a secure distributed cloud storage. ICCS-DE (2020)
Nikolay A. Vershkov, Maxim A. Babenko, Viktor Andreevich Kuchukov, Nataliya Nikolaevna Kuchukova
Search for the Global Extremum Using the Correlation Indicator for Neural Networks Supervised Learning. Program. Comput. Softw. 46 (8) (2020)
Vanessa Miranda-López, Andrei Tchernykh, Mikhail G. Babenko, Viktor Andreevich Kuchukov, Maxim Anatolievich Deryabin, Elena Golimblevskaia, Egor Shiryaev, Arutyun Avetisyan, Raúl Rivera-Rodríguez, Gleb I. Radchenko, El-Ghazali Talbi
Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds Data Storage with Increased Reliability. HPCS (2019)
Andrei Tchernykh, Mikhail G. Babenko, Viktor Andreevich Kuchukov, Vanessa Miranda-López, Arutyun Avetisyan, Raúl Rivera-Rodríguez, Gleb I. Radchenko
Data Reliability and Redundancy Optimization of a Secure Multi-cloud Storage Under Uncertainty of Errors and Falsifications. IPDPS Workshops (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)
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)
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)