Search Results - "Tereshonok, Maxim"

Low-Pass Image Filtering to Achieve Adversarial Robustness by Ziyadinov, Vadim, Tereshonok, Maxim

“…In this paper, we continue the research cycle on the properties of convolutional neural network-based image recognition systems and ways to improve noise…”
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Noise Immunity and Robustness Study of Image Recognition Using a Convolutional Neural Network by Ziyadinov, Vadim, Tereshonok, Maxim

“…The problem surrounding convolutional neural network robustness and noise immunity is currently of great interest. In this paper, we propose a technique that…”
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Toward the Nonstationary Theory of a Telecommunication Channel Through a Plasma Sheath by Bogatskaya, Anna V., Volkova, Ekaterina A., Klenov, Nikolay V., Tereshonok, Maxim V., Popov, Alexander M.

“…We present an analysis of dynamic processes for the electromagnetic wave packet passing through the opaque media with quasi-free charges. We consider plasma…”
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Cross-Layer Methods for Ad Hoc Networks—Review and Classification by Ivanov, Valeriy, Tereshonok, Maxim

“…The OSI model used to be a common network model for years. In the case of ad hoc networks with dynamic topology and difficult radio communications conditions,…”
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A Survey on Symmetrical Neural Network Architectures and Applications by Ilina, Olga, Ziyadinov, Vadim, Klenov, Nikolay, Tereshonok, Maxim

“…A number of modern techniques for neural network training and recognition enhancement are based on their structures’ symmetry. Such approaches demonstrate…”
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Issues with Modeling a Tunnel Communication Channel through a Plasma Sheath by Bogatskaya, Anna V, Schegolev, Andrey E, Klenov, Nikolay V, Lobov, Evgeniy M, Tereshonok, Maxim V, Popov, Alexander M

“…We consider two of the most relevant problems that arise when modeling the properties of a tunnel radio communication channel through a plasma layer. First, we…”
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Peculiarities of Resonant Absorption of Electromagnetic Signals in Multilayer Bolometric Sensors by Bogatskaya, Anna V, Klenov, Nikolay V, Popov, Alexander M, Schegolev, Andrey E, Titovets, Pavel A, Tereshonok, Maxim V

“…We examine the effect of resonant absorption of electromagnetic signals in a silicon semiconductor plasma layer when the dielectric plate is placed behind it…”
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Tunable superconducting neurons for networks based on radial basis functions by Schegolev, Andrey E, Klenov, Nikolay V, Bakurskiy, Sergey V, Soloviev, Igor I, Kupriyanov, Mikhail Yu, Tereshonok, Maxim V, Sidorenko, Anatoli S

“…The hardware implementation of signal microprocessors based on superconducting technologies seems relevant for a number of niche tasks where performance and…”
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Multilayer Bolometric Structures for Efficient Wideband Communication Signal Reception by Bogatskaya, Anna V, Klenov, Nikolay V, Popov, Alexander M, Schegolev, Andrey E, Titovets, Pavel A, Tereshonok, Maxim V, Yakovlev, Dmitry S

“…It is known that the dielectric layer (resonator) located behind the conducting plate of the bolometer system can significantly increase its sensitivity near…”
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Adiabatic superconducting cells for ultra-low-power artificial neural networks by Schegolev, Andrey E, Klenov, Nikolay V, Soloviev, Igor I, Tereshonok, Maxim V

“…We propose the concept of using superconducting quantum interferometers for the implementation of neural network algorithms with extremely low power…”
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Energy Efficient Superconducting Neural Networks for High-Speed Intellectual Data Processing Systems by Klenov, Nikolay V., Schegolev, Andrey E., Soloviev, Igor I., Bakurskiy, Sergey V., Tereshonok, Maxim V.

“…We present the results of circuit simulations for the adiabatic flux-operating neuron. The proposed cell with one-shot calculation of activation function is…”
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Dynamic Processes in a Superconducting Adiabatic Neuron with Non-Shunted Josephson Contacts by Bastrakova, Marina, Gorchavkina, Anastasiya, Schegolev, Andrey, Klenov, Nikolay, Soloviev, Igor, Satanin, Arkady, Tereshonok, Maxim

“…We investigated the dynamic processes in a superconducting neuron based on Josephson contacts without resistive shunting (SC-neuron). Such a cell is a key…”
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