Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Luz Santamaria-Granados"'
Autor:
Luz Santamaria-Granados, Mario Munoz-Organero, Gustavo Ramirez-Gonzalez, Enas Abdulhay, N. Arunkumar
Publikováno v:
IEEE Access, Vol 7, Pp 57-67 (2019)
Recommender systems have been based on context and content, and now the technological challenge of making personalized recommendations based on the user emotional state arises through physiological signals that are obtained from devices or sensors. T
Externí odkaz:
https://doaj.org/article/1d8d0d1de8b143778f93ae5ad0085804
Autor:
Ahmed Faeq Hussein, N. Arunkumar, Chandima Gomes, Abbas K. Alzubaidi, Qais Ahmed Habash, Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno, Gustavo Ramirez-Gonzalez
Publikováno v:
IEEE Access, Vol 6, Pp 49306-49324 (2018)
The focal and non-focal epilepsy is seen to be a chronic neurological brain disorder, which has affected $\approx ~60$ million people in the world. Hence, an early detection of the focal epileptic seizures can be carried out using the EEG signals, wh
Externí odkaz:
https://doaj.org/article/f265895d3f564b1db860cab992673d96
Autor:
Juan Francisco Mendoza-Moreno, Luz Santamaria-Granados, Anabel Fraga Vázquez, Gustavo Ramirez-Gonzalez
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 11061 (2021)
Tourist traceability is the analysis of the set of actions, procedures, and technical measures that allows us to identify and record the space–time causality of the tourist’s touring, from the beginning to the end of the chain of the tourist prod
Externí odkaz:
https://doaj.org/article/2844c615df1a4e2a89131189dc47c60a
Autor:
Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno, Angela Chantre-Astaiza, Mario Munoz-Organero, Gustavo Ramirez-Gonzalez
Publikováno v:
Sensors, Vol 21, Iss 23, p 7854 (2021)
The collection of physiological data from people has been facilitated due to the mass use of cheap wearable devices. Although the accuracy is low compared to specialized healthcare devices, these can be widely applied in other contexts. This study pr
Externí odkaz:
https://doaj.org/article/2cba03cd23d349d989185ddc53cf7119
Publikováno v:
Future Internet, Vol 13, Iss 1, p 2 (2020)
Recommendation systems have overcome the overload of irrelevant information by considering users’ preferences and emotional states in the fields of tourism, health, e-commerce, and entertainment. This article reviews the principal recommendation ap
Externí odkaz:
https://doaj.org/article/377291b9a1674975a9814c9c1a1796ef
Publikováno v:
Future Internet, Vol 13, Iss 2, p 2 (2021)
Future Internet
Volume 13
Issue 1
Future Internet
Volume 13
Issue 1
Recommendation systems have overcome the overload of irrelevant information by considering users&rsquo
preferences and emotional states in the fields of tourism, health, e-commerce, and entertainment. This article reviews the principal recommend
preferences and emotional states in the fields of tourism, health, e-commerce, and entertainment. This article reviews the principal recommend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29408c7f3d9cf6db1fd2b17c1301cff6
https://www.mdpi.com/1999-5903/13/1/2
https://www.mdpi.com/1999-5903/13/1/2
Autor:
Gustavo Ramirez-Gonzalez, Anabel Fraga Vázquez, Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno
Publikováno v:
Applied Sciences; Volume 11; Issue 22; Pages: 11061
Applied Sciences, Vol 11, Iss 11061, p 11061 (2021)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Applied Sciences, Vol 11, Iss 11061, p 11061 (2021)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Tourist traceability is the analysis of the set of actions, procedures, and technical measures that allows us to identify and record the space–time causality of the tourist’s touring, from the beginning to the end of the chain of the tourist prod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63d56ab4197c6dbdf7bd35c34e4f02d2
Autor:
Mario Munoz-Organero, Gustavo Ramirez-Gonzalez, Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno, Ángela Chantre-Astaiza
Publikováno v:
Sensors, Vol 21, Iss 7854, p 7854 (2021)
Sensors; Volume 21; Issue 23; Pages: 7854
Sensors (Basel, Switzerland)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Sensors; Volume 21; Issue 23; Pages: 7854
Sensors (Basel, Switzerland)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
The collection of physiological data from people has been facilitated due to the mass use of cheap wearable devices. Although the accuracy is low compared to specialized healthcare devices, these can be widely applied in other contexts. This study pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b88cf5aee91b3dd28d577c2df0027c30
https://www.mdpi.com/1424-8220/21/23/7854
https://www.mdpi.com/1424-8220/21/23/7854
Autor:
Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno, Gustavo Ramirez-Gonzalez, Chandima Gomes, Ahmed Faeq Hussein, N. Arunkumar, Qais Ahmed Habash, Abbas K. AlZubaidi
Publikováno v:
IEEE Access, Vol 6, Pp 49306-49324 (2018)
The focal and non-focal epilepsy is seen to be a chronic neurological brain disorder, which has affected $\approx ~60$ million people in the world. Hence, an early detection of the focal epileptic seizures can be carried out using the EEG signals, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::075bed2ca4eaf4fbfc644c421c7b123f
https://doi.org/10.1109/access.2018.2867078
https://doi.org/10.1109/access.2018.2867078
Autor:
Enas Abdulhay, Luz Santamaria-Granados, Gustavo Ramirez-Gonzalez, Mario Munoz-Organero, N. Arunkumar
Publikováno v:
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
IEEE Access, Vol 7, Pp 57-67 (2019)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Universidad Carlos III de Madrid (UC3M)
IEEE Access, Vol 7, Pp 57-67 (2019)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Recommender systems have been based on context and content, and now the technological challenge of making personalized recommendations based on the user emotional state arises through physiological signals that are obtained from devices or sensors. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4ee7804b1c12ba2b17e5fce09850751
https://hdl.handle.net/10016/31799
https://hdl.handle.net/10016/31799
