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Journal Articles
- 2024
[j8]Valeriy Ivanov
, Maxim Tereshonok:
Cross-Layer Methods for Ad Hoc Networks - Review and Classification. Future Internet 16(1): 29 (2024)- 2023
- [j7]Anna V. Bogatskaya, Nikolay V. Klenov, Alexander M. Popov, Andrey Schegolev, Pavel A. Titovets, Maxim Tereshonok:
Peculiarities of Resonant Absorption of Electromagnetic Signals in Multilayer Bolometric Sensors. Sensors 23(3): 1549 (2023) - [j6]Vadim Ziyadinov, Maxim Tereshonok:
Low-Pass Image Filtering to Achieve Adversarial Robustness. Sensors 23(22): 9032 (2023) - 2022
- [j5]Anna V. Bogatskaya, Andrey Schegolev, Nikolay V. Klenov, Evgeniy M. Lobov, Maxim Tereshonok, Alexander M. Popov:
Issues with Modeling a Tunnel Communication Channel through a Plasma Sheath. Sensors 22(1): 398 (2022) - [j4]Vadim Ziyadinov, Maxim Tereshonok:
Noise Immunity and Robustness Study of Image Recognition Using a Convolutional Neural Network. Sensors 22(3): 1241 (2022) - [j3]Olga Ilina, Vadim Ziyadinov, Nikolay V. Klenov, Maxim Tereshonok:
A Survey on Symmetrical Neural Network Architectures and Applications. Symmetry 14(7): 1391 (2022) - 2021
- [j2]Marina Bastrakova, Anastasiya Gorchavkina, Andrey Schegolev, Nikolay V. Klenov, Igor Soloviev, Arkady M. Satanin, Maxim Tereshonok:
Dynamic Processes in a Superconducting Adiabatic Neuron with Non-Shunted Josephson Contacts. Symmetry 13(9): 1735 (2021) - 2016
- [j1]S. S. Adjemov, Nikolay V. Klenov, M. V. Tereshonok, D. S. Chirov:
The use of artificial neural networks for classification of signal sources in cognitive radio systems. Program. Comput. Softw. 42(3): 121-128 (2016)
Conference and Workshop Papers
- 2020
- [c1]A. E. Schegolev, Nikolay V. Klenov, M. V. Tereshonok, S. S. Adjemov:
Elements of Hybrid Opto-superconducting Convolutional Neural Networks. PHOTOPTICS 2020: 135-139
Coauthor Index
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