The use of artificial neural networks for classification of signal sources in cognitive radio systems. - S. S. Adjemov; Nikolay V. Klenov; M. V. Tereshonok; D. S. Chirov (Program. Comput. Softw., 2016)

Elements of Hybrid Opto-superconducting Convolutional Neural Networks. - A. E. Schegolev; Nikolay V. Klenov; M. V. Tereshonok; S. S. Adjemov (PHOTOPTICS, 2020)

Dynamic Processes in a Superconducting Adiabatic Neuron with Non-Shunted Josephson Contacts. - Marina Bastrakova; Anastasiya Gorchavkina; Andrey Schegolev; Nikolay V. Klenov; Igor Soloviev; Arkady M. Satanin; Maxim Tereshonok (Symmetry, 2021)

Issues with Modeling a Tunnel Communication Channel through a Plasma Sheath. - Anna V. Bogatskaya; Andrey Schegolev; Nikolay V. Klenov; Evgeniy M. Lobov; Maxim Tereshonok; Alexander M. Popov (Sensors, 2022)

Noise Immunity and Robustness Study of Image Recognition Using a Convolutional Neural Network. - Vadim Ziyadinov; Maxim Tereshonok (Sensors, 2022)

A Survey on Symmetrical Neural Network Architectures and Applications. - Olga Ilina; Vadim Ziyadinov; Nikolay V. Klenov; Maxim Tereshonok (Symmetry, 2022)

Peculiarities of Resonant Absorption of Electromagnetic Signals in Multilayer Bolometric Sensors. - Anna V. Bogatskaya; Nikolay V. Klenov; Alexander M. Popov; Andrey Schegolev; Pavel A. Titovets; Maxim Tereshonok (Sensors, 2023)

Low-Pass Image Filtering to Achieve Adversarial Robustness. - Vadim Ziyadinov; Maxim Tereshonok (Sensors, 2023)

Cross-Layer Methods for Ad Hoc Networks - Review and Classification. - Valeriy Ivanov; Maxim Tereshonok (Future Internet, 2024)