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Viktor Andreevich Kuchukov
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2020 – today
- 2022
- [j8]Mikhail G. Babenko, Andrei Tchernykh, Viktor Andreevich Kuchukov:
Improved Modular Division Implementation with the Akushsky Core Function. Comput. 10(1): 9 (2022) - [j7]Andrei Tchernykh, Mikhail G. Babenko, Egor M. 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): 17 (2022) - [j6]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): 376-384 (2022) - [j5]Andrei 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): 598-605 (2022) - 2021
- [j4]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): 830-838 (2021) - [c7]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: 8-20 - [c6]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: 107-118 - [c5]Nikolay A. Vershkov, Viktor Andreevich Kuchukov, Natalia Nikolaevna Kuchukova, Nikolay Nikolaevich Kucherov, Egor M. Shiriaev:
Optimization of computational complexity of an artificial neural network. ICCS-DE 2021: 220-226 - 2020
- [j3]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): 609-618 (2020) - [c4]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: 166-180
2010 – 2019
- 2019
- [j2]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) - [c3]Vanessa Miranda-López, Andrei Tchernykh, Mikhail G. Babenko, Viktor Andreevich Kuchukov, Maxim Anatolievich Deryabin, Elena Golimblevskaia, Egor M. 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: 915-922 - [c2]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: 565-572 - 2018
- [j1]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) - 2015
- [c1]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
Coauthor Index
aka: Mikhail Grigorevich Babenko
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