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pro vyhledávání: '"Victor de la Cueva"'
Autor:
David Garza, Roberto Reyes, Jorge Armando Cortes Ramirez, Leonardo Garrido, Victor de la Cueva
Publikováno v:
Advances in Soft Computing ISBN: 9783030337483
MICAI
MICAI
We developed a virtual assistant that enables students to access interactive content adapted for an introductory undergraduate course on artificial intelligence. This chatbot is able to show answers to frequently asked questions in a hierarchical str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66d0f514c3870956112a343df3c40208
https://doi.org/10.1007/978-3-030-33749-0_35
https://doi.org/10.1007/978-3-030-33749-0_35
Autor:
Javier Martínez-Sanz, Manuel Ponce-Alonso, Laura Martínez-García, Víctor de la Cueva, Leticia Olavarrieta, Laura Montero, María Jesús Pérez-Elías, Juan Carlos Galán
Publikováno v:
International Journal of Infectious Diseases, Vol 137, Iss , Pp 111-113 (2023)
Several possible mpox reinfections have been reported, however, the debate on whether these are confirmed reinfections remains open.A 30-year-old male living with HIV and a history of single-dose mpox vaccination, first diagnosed with mpox in Septemb
Externí odkaz:
https://doaj.org/article/b81ec94238d547deba07535bcac42e38
Publikováno v:
2013 IEEE International Autumn Meeting on Power Electronics and Computing (ROPEC).
When a Robot finds itself in an unknown and uncertain environment it needs to retrieve information from its surroundings so it can perform a task in the appropriate way. A task may demand far much more capabilities than the ones a robot can perform b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb6d809d2405024cd0d4fbc1d4e81e26
https://doi.org/10.1109/ropec.2013.6702730
https://doi.org/10.1109/ropec.2013.6702730
Autor:
Fernando Ramos, Victor de la Cueva
Publikováno v:
MICAI 2002: Advances in Artificial Intelligence ISBN: 9783540434757
MICAI
MICAI
We are presenting in this work a method to calculate collision free paths, for redundant and non redundant robots, through an adaptation of the Messy Genetic Algorithm with a fitness function weakly defined. The adaptation consists in replacing the t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::959557e86a8260aac5183c203188ca4d
https://doi.org/10.1007/3-540-46016-0_3
https://doi.org/10.1007/3-540-46016-0_3
Conference
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