Zobrazeno 1 - 6
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pro vyhledávání: '"María Paz‐Sesmero"'
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss S1, Pp 2977-2994 (2024)
Abstract Intelligent Transportation Systems (ITS) are crucial for developing fully automated vehicles. While significant progress has been made with advanced driver assistance systems and automation technology, challenges remain, such as improving tr
Externí odkaz:
https://doaj.org/article/5d769631879a43019b4faba76d131701
Publikováno v:
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems.
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Electronics, Vol 10, Iss 3113, p 3113 (2021)
Electronics; Volume 10; Issue 24; Pages: 3113
instname
Electronics, Vol 10, Iss 3113, p 3113 (2021)
Electronics; Volume 10; Issue 24; Pages: 3113
There are various techniques to approach learning in autonomous driving; however, all of them suffer from some problems. In the case of imitation learning based on artificial neural networks, the system must learn to correctly identify the elements o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbbeccbf51a6144053dfc35e53907ede
https://hdl.handle.net/10016/34737
https://hdl.handle.net/10016/34737
Publikováno v:
Expert systems with applications, vol. 207, no. 117881, 2022.
In this paper, we present an evolving data-based approach to automatically cluster Twitter users according to their behavior. The clustering method is based on the Gaussian probability density distribution combined with a Takagi-Sugeno fuzzy conseque
Akademický článek
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Autor:
Raquel Fuentetaja Pizán, Ángel García Olaya, Maria Paz Sesmero Lorente, Jose Antonio Iglesias Martínez, Agapito Ledezma Espino
The book reports on cutting-edge theories and methods aimed at the control and coordination of agents acting and moving in a dynamic environment. It covers a wide range of systems, including multiagent systems, domotic agents, robotic manipulators, s