Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Eduard Puerto"'
Publikováno v:
Computers, Vol 13, Iss 3, p 76 (2024)
Currently, approaches to correcting misspelled words have problems when the words are complex or massive. This is even more serious in the case of Spanish, where there are very few studies in this regard. So, proposing new approaches to word recognit
Externí odkaz:
https://doaj.org/article/858457f962ac4ca3ba668a5a2eef7b91
Publikováno v:
IEEE Access, Vol 9, Pp 117178-117203 (2021)
The microservice granularity directly affects the quality attributes and usage of computational resources of the system, determining optimal microservice granularity is an open research topic. Microservices granularity is defined by the number of ope
Externí odkaz:
https://doaj.org/article/c574afe32b2c4d5f832d71dd60912837
Publikováno v:
Applied Artificial Intelligence, Vol 32, Iss 4, Pp 419-432 (2018)
This paper defines a new recursive pattern matching model based on the theory of the systemic functioning of the human brain, called pattern recognition theory of mind, in the context of the dynamic pattern recognition problem. Dynamic patterns are c
Externí odkaz:
https://doaj.org/article/68c143459bbe4f0896ad7ea9c511e1c0
Publikováno v:
Publicaciones en Ciencias y Tecnología, Vol 11, Iss 2, Pp 79-85 (2017)
En esta reseña se describe el quehacer y razón de ser de la Red TEPUY como un grupo interdisciplinar de expertos dedicados a la investigación, desarrollo e implantación de tecnologías de Inteligencia Artificial, Internet de las Cosas (IoT) y Sis
Externí odkaz:
https://doaj.org/article/ba0e46af7fbb470582e414f05e95b703
Publikováno v:
Sensors, Vol 20, Iss 9, p 2597 (2020)
This paper presents three different approaches to recognize driving style based on a hierarchical-model. Specifically, it proposes a hierarchical model for the recognition of the driving style for advanced driver-assistance systems (ADAS) for vehicle
Externí odkaz:
https://doaj.org/article/75699e68277743dc8db7371f2429e0bc
Publikováno v:
Repositorio Digital UFPS
UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
instacron:Universidad Francisco de Paula Santander
UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
instacron:Universidad Francisco de Paula Santander
The microservice granularity directly affects the quality attributes and usage of computational resources of the system, determining optimal microservice granularity is an open research topic. Microservices granularity is defined by the number of ope
Publikováno v:
2021 XLVII Latin American Computing Conference (CLEI).
Publikováno v:
Repositorio Digital UFPS
UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
instacron:Universidad Francisco de Paula Santander
UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
instacron:Universidad Francisco de Paula Santander
In the context of pattern recognition processes with machine learning algorithms, either through supervised, semi-supervised or unsupervised methods, one of the most important elements to consider are the features that are used to represent the pheno
Publikováno v:
Repositorio Digital UFPS
UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
instacron:Universidad Francisco de Paula Santander
UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
instacron:Universidad Francisco de Paula Santander
In this paper, we propose an emotional model for robots in a multi-robot system, in order to allow emerging behaviors. The emotional model uses four universal emotions: anger, disgust, sadness, and joy, assigned to each robot based on the level of sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4154de3dec0697dd447e9eb4870fbb76
http://repositorio.ufps.edu.co/handle/ufps/1562
http://repositorio.ufps.edu.co/handle/ufps/1562
Publikováno v:
Sensors (Basel, Switzerland)
Repositorio Digital UFPS
UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
instacron:Universidad Francisco de Paula Santander
Sensors
Volume 20
Issue 9
Sensors, Vol 20, Iss 2597, p 2597 (2020)
Repositorio Digital UFPS
UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
instacron:Universidad Francisco de Paula Santander
Sensors
Volume 20
Issue 9
Sensors, Vol 20, Iss 2597, p 2597 (2020)
This paper presents three different approaches to recognize driving style based on a hierarchical-model. Specifically, it proposes a hierarchical model for the recognition of the driving style for advanced driver-assistance systems (ADAS) for vehicle