Universal learning approach of an intelligent algorithm for Non-GNSS assisted beamsteering in V2I systems
E Lopukhova, A Abdulnagimov, G Voronkov… - Information, 2023 - mdpi.com
In intelligent transportation systems, an important task is to provide a highly efficient
communication channel between vehicles and other infrastructure objects that meets energy …
communication channel between vehicles and other infrastructure objects that meets energy …
Applying Decision Forest for Improving the Adaptation of the ML Algorithm for Beamsteering to Traffic Dynamics in V2I Systems
EA Lopukhova, EV Kuznetsova… - 2023 IEEE 24th …, 2023 - ieeexplore.ieee.org
The paper presents the simulation model and signal propagation environment to generate
synthetic data and test trained intelligent algorithms for an intelligent beamsteering unit. This …
synthetic data and test trained intelligent algorithms for an intelligent beamsteering unit. This …
Evaluation of Group Signal Transformation Efficiency for Earth Remote Sensing Systems
VV Ivanov, IO Abdreev, EA Lopukhova… - 2023 IX International …, 2023 - ieeexplore.ieee.org
In energy-deficient systems, such as satellite systems for remote sensing, the issue of
reducing power consumption is especially relevant. The group signal transformation has …
reducing power consumption is especially relevant. The group signal transformation has …
АНТЕННОЕ УСТРОЙСТВО С УПРАВЛЯЕМОЙ ДИАГРАММОЙ НАПРАВЛЕННОСТИ ДЛЯ СИСТЕМ V2X
ТЭ САЙФУЛЛИН, ЕП ГРАХОВА - Мавлютовские чтения, 2022 - elibrary.ru
АНТЕННОЕ УСТРОЙСТВО С УПРАВЛЯЕМОЙ ДИАГРАММОЙ НАПРАВЛЕННОСТИ ДЛЯ
СИСТЕМ V2X КОРЗИНА ПОИСК НАВИГАТОР ЖУРНАЛЫ КНИГИ ПАТЕНТЫ ПОИСК …
СИСТЕМ V2X КОРЗИНА ПОИСК НАВИГАТОР ЖУРНАЛЫ КНИГИ ПАТЕНТЫ ПОИСК …
[引用][C] АЛГОРИТМ ДООБУЧЕНИЯ ДЛЯ СИСТЕМЫ УПРАВЛЕНИЯ ЛУЧОМ ДИАГРАММЫ НАПРАВЛЕННОСТИ В V2I
ЕА Лопухова, ГС Воронков, ЕП Грахова - Проблемы техники и …, 2023 - elibrary.ru
This paper presents the concept of an algorithm for the Beamsteering intelligent system in
V2I for its adaptation to the differences between the simulated and real environment.
V2I for its adaptation to the differences between the simulated and real environment.