Zobrazeno 1 - 6
of 6
pro vyhledávání: '"MCarmen Romero-Ternero"'
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
Artificial intelligence has the potential to support and improve the quality of life of people with disabilities. Mobility is a potentially dangerous activity for people with impaired ability. This article presents an assistive technology solution to
Externí odkaz:
https://doaj.org/article/40e8d99ffc5c44c787049bdab1b94ad4
Autor:
Andreea M. Oprescu, Gloria Miro-Amarante, Lutgardo Garcia-Diaz, Luis M. Beltran, Victoria E. Rey, MCarmen Romero-Ternero
Publikováno v:
IEEE Access, Vol 8, Pp 181450-181484 (2020)
Artificial Intelligence has been widely applied to a majority of research areas, including health and medicine. Certain complications or disorders that can appear during pregnancy can endanger the life of both mother and fetus. There is enough scient
Externí odkaz:
https://doaj.org/article/b5d693af16194b8db79817e109067a18
Publikováno v:
Sensors, Vol 19, Iss 22, p 4998 (2019)
A common problem in solar farms is to predict when accumulators stop working optimally and start losing efficiency. This paper proposes and describes how to use Bayesian networks together with expert systems to predict this moment by using a telecont
Externí odkaz:
https://doaj.org/article/047e5ce1e3734901b71de5b07897779d
Publikováno v:
Engineering Applications of Artificial Intelligence. 119:105728
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c2c22590ccc7fcb5ecb979f099fffa4
https://doi.org/10.1016/j.engappai.2022.105728
https://doi.org/10.1016/j.engappai.2022.105728
Autor:
MCarmen Romero-Ternero, Victoria E. Rey, Gloria Miro-Amarante, Andreea M. Oprescu, Lutgardo García-Díaz, Luis M. Beltran
Publikováno v:
IEEE Access, Vol 8, Pp 181450-181484 (2020)
Artificial Intelligence has been widely applied to a majority of research areas, including health and medicine. Certain complications or disorders that can appear during pregnancy can endanger the life of both mother and fetus. There is enough scient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f5d29d189d542d8afefd284536e0138
http://hdl.handle.net/10261/238663
http://hdl.handle.net/10261/238663
Publikováno v:
Sensors, Vol 19, Iss 22, p 4998 (2019)
Sensors
Volume 19
Issue 22
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 22
Sensors (Basel, Switzerland)
A common problem in solar farms is to predict when accumulators stop working optimally and start losing efficiency. This paper proposes and describes how to use Bayesian networks together with expert systems to predict this moment by using a telecont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20c2a29583169541ee6c7dd9f5098da0
https://www.mdpi.com/1424-8220/19/22/4998
https://www.mdpi.com/1424-8220/19/22/4998