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Stabilisation System Synthesis for Motion along the Trajectory by Evolutionary Machine Learning Control
Diveev Askhat, Sofronova Elena, Konyrbaev Nurbek, Ibadulla Sabit
disturbances.In the work, machine learning control by symbolic regression was used to solve the control
Algorithm for individual learning content formation in automated machine learning system
Asadullaev, R. G., Lomakin, V. V., Zaharov, V. M., Dakhova, M. N., Bugaeva, E. S.
be used in machine learning. The algorithm for generating educational content based on the input test
Синтез системы пространственной стабилизации мобильного робота на основе обучения методом символьной регрессии
Дивеев А.И., Мендес Флорес Н.Х.
the method of machine learning based on the application of modern symbolic regression methods. This allows
Editorial: Applications of artificial intelligence, machine learning, and deep learning in plant breeding
Eftekhari M., Ma C., Orlov Y.L.
in artificial intelligence (AI) technologies, including machine learning (ML) and deep learning (DL
Forecasting the Passage Time of the Queue of Highly Automated Vehicles Based on Neural Networks in the Services of Cooperative Intelligent Transport Systems
Shepelev V., Zhankaziev S., Aliukov S., Varkentin V., Marusin A., Marusin A., Gritsenko A.
forecast for the release time of a controlled intersection by non-group vehicles, taking into account
Comparative analysis of Machine and deep Learning Algorithms in semantic analysis
Staradubets, A.
The article compare different approaches as machine learning and deep learning in semantic analysis
НОВЫЕ ТРЕНДЫ ВНУТРЕННЕГО КОНТРОЛЯ И АУДИТА КОРПОРАТИВНОГО МОШЕННИЧЕСТВА С БИЗНЕС-ДАННЫМИ
Абуева М.М.
), artificial intelligence (AI), and machine learning in improving the effectiveness of these procedures
Machine learning in SDN
Volkov S.S., Kurochkin I.I.
that it is possible to solve the security problem of software-defined networks using machine learning methods. A
Comparing Recurrent Neural Networks and Symbolic regression methods
Chavush H.S., Zhavush K.S., Mendes F.N.
for researchers and engineers striving to refine robot motion control using cutting-edge machine learning
Elevating Mobile Robotics: Pioneering Applications of Artificial Intelligence and Machine Learning
Nasrallah H.S., Stepanyan I.V., Nassrullah K.S., Florez N.J.M., Abdalameer AL-Khafaji I.M., Zidoun A.M., Sekhar R., Shah P., Parihar S.
of sophisticated AI and machine learning techniques in mobile robotics. © 2024 International Information

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