Search Results - "Tereshonok, Maxim V."
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Issues with Modeling a Tunnel Communication Channel through a Plasma Sheath
Published in Sensors (Basel, Switzerland) (01-01-2022)“…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
Published in Sensors (Basel, Switzerland) (31-01-2023)“…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
Published in Beilstein journal of nanotechnology (2022)“…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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Adiabatic superconducting cells for ultra-low-power artificial neural networks
Published in Beilstein journal of nanotechnology (2016)“…We propose the concept of using superconducting quantum interferometers for the implementation of neural network algorithms with extremely low power…”
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Multilayer Bolometric Structures for Efficient Wideband Communication Signal Reception
Published in Nanomaterials (Basel, Switzerland) (08-01-2024)“…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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Toward the Nonstationary Theory of a Telecommunication Channel Through a Plasma Sheath
Published in IEEE transactions on antennas and propagation (01-06-2020)“…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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Energy Efficient Superconducting Neural Networks for High-Speed Intellectual Data Processing Systems
Published in IEEE transactions on applied superconductivity (01-10-2018)“…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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