Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Angélica González-Arrieta"'
Autor:
Miguel García García, María Angélica González Arrieta, Sara Rodríguez-González, Sergio Márquez-Sánchez, Carlos Fernando Da Silva Ramos
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 6, Pp 51-60 (2024)
This article introduces the possibility of studying graffiti using a colorimeter developed with Arduino hardware technology according to the Do It Yourself (DIY) philosophy. Through the obtained Red Green Blue (RGB) data it is intended to study and c
Externí odkaz:
https://doaj.org/article/de9dafb4a27c4c62bb0cb824c2045408
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 3, Pp 43-54 (2023)
Rural areas have been marginalized when it comes to flexible, quality transportation research. This review article brings together papers that discuss, analyze, model, or experiment with demand-responsive transportation systems applied to rural settl
Externí odkaz:
https://doaj.org/article/f5bdc2b9880b497ab0adc5b40286dc9c
Autor:
Guillermo Hernández, Carlos González-Sánchez, Angélica González-Arrieta, Guillermo Sánchez-Brizuela, Juan-Carlos Fraile
Publikováno v:
Sensors, Vol 24, Iss 10, p 3157 (2024)
Livestock monitoring is a task traditionally carried out through direct observation by experienced caretakers. By analyzing its behavior, it is possible to predict to a certain degree events that require human action, such as calving. However, this c
Externí odkaz:
https://doaj.org/article/e5b367bbc4a2439491e5675e50bfc672
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 6, Iss 4, Pp 15-23 (2018)
The textile industry is characterized by the economic activity whose objective is the production of fibres, yarns, fabrics, clothing and textile goods for home and decoration, as well as technical and industrial purposes. Within manufacturing, the Te
Externí odkaz:
https://doaj.org/article/6123fd33f4754e2cbf79710eb5a46f90
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 6, Iss 1, Pp 41-50 (2017)
The textile industry is characterized by the economic activity whose objective is the production of fibres, yarns, fabrics, clothing and textile goods for home and decoration,as well as technical and industrial purposes. Within manufacturing, the Tex
Externí odkaz:
https://doaj.org/article/e2f8368bea1a4aa494cd67b7fe8fe765
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 5, Iss 1, Pp 51-61 (2016)
The problem of face recognition has been extensively studied in the available literature, however, some aspects of this field require further research. The design and implementation of face recognition systems that can efficiently handle unconstraine
Externí odkaz:
https://doaj.org/article/f980f1dd11fd4ff5b74928285b2e2e29
Publikováno v:
Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference ISBN: 9783031232091
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ea8a62c69446a586a23fedcf4c1c6eb
https://doi.org/10.1007/978-3-031-23210-7_21
https://doi.org/10.1007/978-3-031-23210-7_21
Autor:
Angélica González Arrieta, Guillermo Hernández González, Juan Manuel Corchado Rodríguez, María Belén Pérez Lancho, José Rafael García-Bermejo Giner, Iván Álvarez Navia, Juan Andrés Hernández Simón, Ángel Luis Sánchez Lázaro, Pastora Isabel Vega Cruz
Publikováno v:
Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality ISBN: 9789819909414
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0d53ca665b92eb309716fe6d57bc9db
https://doi.org/10.1007/978-981-99-0942-1_91
https://doi.org/10.1007/978-981-99-0942-1_91
Autor:
Sergio Márquez-Sánchez, Jorge Huerta-Muñoz, Jorge Herrera-Santos, Angélica González Arrieta, Fernando De la Prieta
Publikováno v:
Ad Hoc Networks. 148:103205
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d3f6a67ab7431f8c2fcede48779d66c
https://doi.org/10.1016/j.adhoc.2023.103205
https://doi.org/10.1016/j.adhoc.2023.103205
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 3, Iss 1, Pp 28-35 (2014)
We introduce a hybrid system composed of a convolutional neural network and a discrete graphical model for image recognition. This system improves upon traditional sliding window techniques for analysis of an image larger than the training data by ef
Externí odkaz:
https://doaj.org/article/0c22693495d5476fafe729c148985d1d