Zobrazeno 1 - 10
of 379
pro vyhledávání: '"Beltrán, Jorge"'
Publikováno v:
Universidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPC.
Jorge Beltran (Perú) - Panelista; Sandra Echaiz (Perú) - Panelista; Leandro García (Perú) - Panelista; Alfredo Soria (Perú) - Moderador
Este evento abordará la temática del incumplimiento de los contratos y sus consecuencias jurídicas. S
Este evento abordará la temática del incumplimiento de los contratos y sus consecuencias jurídicas. S
Externí odkaz:
http://hdl.handle.net/10757/655872
In recent years, the field of autonomous driving has witnessed remarkable advancements, driven by the integration of a multitude of sensors, including cameras and LiDAR systems, in different prototypes. However, with the proliferation of sensor data
Externí odkaz:
http://arxiv.org/abs/2310.05785
Autor:
Beltrán, Jorge F.1 (AUTHOR) beltran.lissabet.jf@gmail.com, Belén, Lisandra Herrera2 (AUTHOR), Yáñez, Alejandro J.3,4 (AUTHOR), Jimenez, Luis1 (AUTHOR)
Publikováno v:
BMC Bioinformatics. 11/9/2024, Vol. 25 Issue 1, p1-13. 13p.
Autor:
Beltrán, Jorge F.1 (AUTHOR) beltran.lissabet.jf@gmail.com, Herrera-Belén, Lisandra2 (AUTHOR), Yáñez, Alejandro J.3,4 (AUTHOR), Jimenez, Luis1 (AUTHOR)
Publikováno v:
Scientific Reports. 11/7/2024, Vol. 14 Issue 1, p1-11. 11p.
Autor:
Missiego-Beltrán, Jorge1 (AUTHOR) jmissiegob@alumnos.nebrija.es, Beltrán-Velasco, Ana Isabel1 (AUTHOR) abeltranv@nebrija.es
Publikováno v:
International Journal of Molecular Sciences. Sep2024, Vol. 25 Issue 18, p10041. 27p.
Autor:
Missiego-Beltrán, Jorge1 (AUTHOR) jmissiegob@alumnos.nebrija.es, Olalla-Álvarez, Eva María1 (AUTHOR), González-Brugera, Ana1 (AUTHOR), Beltrán-Velasco, Ana Isabel1 (AUTHOR) abeltranv@nebrija.es
Publikováno v:
International Journal of Molecular Sciences. Aug2024, Vol. 25 Issue 16, p8998. 16p.
Autor:
Machuca-Sepúlveda, Jorge, López, Matilde, Fierro, Pablo, Beltrán, Jorge F., Norambuena, Juan-Alejandro, Pinheiro S. Oliveira, Ricardo, Zamorano, Mauricio, Farias, Jorge G.
Publikováno v:
In Ecological Indicators July 2024 164
Autor:
Barrera, Alejandro, Beltrán, Jorge, Guindel, Carlos, Iglesias, Jose Antonio, García, Fernando
The performance of object detection methods based on LiDAR information is heavily impacted by the availability of training data, usually limited to certain laser devices. As a result, the use of synthetic data is becoming popular when training neural
Externí odkaz:
http://arxiv.org/abs/2104.11021
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems, 2022
Most sensor setups for onboard autonomous perception are composed of LiDARs and vision systems, as they provide complementary information that improves the reliability of the different algorithms necessary to obtain a robust scene understanding. Howe
Externí odkaz:
http://arxiv.org/abs/2101.04431