Ranking requirements using MoSCoW methodology in practice T Kravchenko, T Bogdanova, T Shevgunov Computer Science On-line Conference, 188-199, 2022 | 37 | 2022 |
A comparative example of cyclostationary description of a non-stationary random process T Shevgunov Journal of Physics: Conference Series 1163 (1), 012037, 2019 | 34 | 2019 |
Применение нейронных сетей для прогнозирования платежеспособности российских предприятий обрабатывающих отраслей ТК Богданова, ТЯ Шевгунов, ОМ Уварова Бизнес-информатика, 40-48, 2013 | 31 | 2013 |
Time delay estimation of cyclostationary signals on PCB using spectral correlation function E Efimov, T Shevgunov, Y Kuznetsov 2018 Baltic URSI Symposium (URSI), 184-187, 2018 | 21 | 2018 |
Using Ground-Based Passive Reflectors for Improving UAV Landing D Yasentsev, T Shevgunov, E Efimov, B Tatarskiy Drones 5 (4), 137, 2021 | 20 | 2021 |
Artificial neural networks implementing maximum likelihood estimator for passive radars T Shevgunov, E Efimov Computer Science On-line Conference, 144-153, 2018 | 19 | 2018 |
Cyclostationary approach to the analysis of the power in electric circuits under periodic excitations T Shevgunov, O Guschina, Y Kuznetsov Applied Sciences 11 (20), 9711, 2021 | 17 | 2021 |
A new model of human respiration for algorithm simulation modeling in radar applications KY Gavrilov, TY Shevgunov 2020 Systems of Signals Generating and Processing in the Field of on Board …, 2020 | 17 | 2020 |
Averaged absolute spectral correlation density estimator T Shevgunov, E Efimov, D Zhukov 2018 Moscow Workshop on Electronic and Networking Technologies (MWENT), 1-4, 2018 | 17 | 2018 |
Stepped-Frequency Continuous-Wave Signal Processing Method for Human Detection Using Radars for Sensing Rooms through the Wall R Kozlov, K Gavrilov, T Shevgunov, V Kirdyashkin Inventions 7 (3), 79, 2022 | 16 | 2022 |
Estimation of resources required for restoring a system of computer complexes with elements of different significance AI Maron, TK Kravchenko, TY Shevgunov Бизнес-информатика 13 (2 (eng)), 18-28, 2019 | 16 | 2019 |
Angle of arrival estimator based on artificial neural networks E Efimov, T Shevgunov, D Filimonova 2016 17th International Radar Symposium (IRS), 1-3, 2016 | 16 | 2016 |
Циклостационарные модели радиосигналов с квадратурной амплитудной модуляцией ЕН Ефимов, ТЯ Шевгунов Электросвязь, 65-71, 2016 | 16 | 2016 |
Unmanned aerial vehicle antenna measurement using anechoic chamber EM Dobychina, MV Snastin, EN Efimov, TY Shevgunov TEM Journal 9 (4), 1480, 2020 | 15 | 2020 |
USING ARTIFICIAL NEURAL NETWORKS FOR TIME DIFFERENCE OF ARRIVAL TARGET LOCALIZATION BASED ON REDUCED DISCRETE COSINE TRANSFORM. T Shevgunov Periodico Tche Quimica 16 (33), 2019 | 15 | 2019 |
Алгоритм 2М-БПФ для оценки циклической спектральной плотности мощности ТЯ Шевгунов, ЕН Ефимов, ДМ Жуков Электросвязь, 50-57, 2017 | 14 | 2017 |
Построение нейронных сетей прямого распространения с использованием адаптивных элементов ЕН Ефимов, ТЯ Шевгунов Журнал радиоэлектроники, 51-74, 2012 | 14 | 2012 |
Estimation of a Spectral Correlation Function Using a Time-Smoothing Cyclic Periodogram and FFT Interpolation—2N-FFT Algorithm T Shevgunov, E Efimov, O Guschina Sensors 23 (1), 215, 2022 | 13 | 2022 |
Fraction-of-time density estimation based on linear interpolation of time series T Shevgunov, A Napolitano 2021 Systems of Signals Generating and Processing in the Field of on Board …, 2021 | 13 | 2021 |
The development of fast algorithm for continuous-time subsectional polynomial E-pulse synthesis TY Shevgunov TEM Journal 9 (3), 881-888, 2020 | 13 | 2020 |