Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Silvia Oviedo"'
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0187754 (2017)
The large patient variability in human physiology and the effects of variables such as exercise or meals challenge current prediction modeling techniques. Physiological models are very precise but they are typically complex and specific physiological
Externí odkaz:
https://doaj.org/article/74fb7731e9ef4666878608df2584b792
Publikováno v:
Ingeniare: Revista Chilena de Ingeniería, Vol 20, Iss 3, Pp 343-349 (2012)
En el presente artículo se propone el uso de las emisiones acústicas para el monitoreo de la cavitación en una bomba centrífuga. Este monitoreo se ejecuta a través del seguimiento a unos indicadores de falla obtenidos a partir del valor RMS de l
Externí odkaz:
https://doaj.org/article/2faaf977782f4615b85dd4c8ff422858
Publikováno v:
Ingeniería e Investigación, Vol 31, Iss 2, Pp 18-28 (2011)
Este artículo introduce la arquitectura de un CBM (mantenimiento basado en la condición) en una aplicación eléctrica. La detección de fallas de manera oportuna y eficiente constituye uno de los retos más importantes asociados al CBM y el enfoqu
Externí odkaz:
https://doaj.org/article/d9bc3b92d9e64ec48cba28a39c4af091
Publikováno v:
Dyna, Vol 78, Iss 170, Pp 214-220 (2011)
En este artículo se utilizan las técnicas MCSA y componentes secuenciales para la detección de cortocircuito de una fase del bobinado del estator de un motor de inducción. La detección de esta falla se realiza usando el análisis de corriente de
Externí odkaz:
https://doaj.org/article/9b8c8917bf254c5aa5a058c39cd1fccf
Autor:
Ignacio Conget, Silvia Oviedo, Ivan Contreras, Arthur Bertachi, Josep Vehí, Marga Giménez, Carmen Quirós
Publikováno v:
Computer Methods and Programs in Biomedicine. 178:175-180
Background: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using mac
Prediction and prevention of hypoglycaemic events in type-1 diabetic patients using machine learning
Publikováno v:
Health Informatics Journal. 26:703-718
Tight blood glucose control reduces the risk of microvascular and macrovascular complications in patients with type 1 diabetes. However, this is very difficult due to the large intra-individual variability and other factors that affect glycaemic cont
Publikováno v:
PLoS ONE
PLoS ONE, 2017, vol. 12, núm. 11, p. e0187754
Articles publicats (D-EEEiA)
DUGiDocs – Universitat de Girona
instname
PLoS ONE, Vol 12, Iss 11, p e0187754 (2017)
PLoS ONE, 2017, vol. 12, núm. 11, p. e0187754
Articles publicats (D-EEEiA)
DUGiDocs – Universitat de Girona
instname
PLoS ONE, Vol 12, Iss 11, p e0187754 (2017)
The large patient variability in human physiology and the effects of variables such as exercise or meals challenge current prediction modeling techniques. Physiological models are very precise but they are typically complex and specific physiological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb517e0f175449dc48467eb81cbb681f
https://hdl.handle.net/2072/373039
https://hdl.handle.net/2072/373039
Autor:
Charrise Mary Ramkissoon, Lyvia Biagi, Arthur Bertachi, Josep Vehí, Ivan Contreras, Silvia Oviedo
The promising potential of artificial intelligence methods and its convergence with the latest technologies such as medical devices, mobile computing, and sensor technologies allows for creation and delivery of better management services to deal with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b46b63431ddbeb0b2f0aa801c54645a
https://doi.org/10.1016/b978-0-12-817133-2.00014-8
https://doi.org/10.1016/b978-0-12-817133-2.00014-8
Autor:
Said Agrebi, Omar Arnaout, Göksu Bozdereli Berikol, Gürkan Berikol, Arthur Bertachi, Lyvia Biagi, Alessandro Boaro, Durhasan Bozdereli, Vitória Negri Braz, Massimo Buscema, Aletha Silva Caetano, Francisco Edgar Castillo-Barrera, Ana Cernea, Myriam Cilla, Ivan Contreras, Nicholas Cummins, Giuliano Roberto da Silva, Enrique J. deAndrés-Galiana, John Jaime Sprockel Díaz, Jorge Luis Machado do Amaral, Estela S. Estapé, Juan Luis Fernández-Martínez, Francisco Javier Fernández-Ovies, Ana Claudia Barbosa Honório Ferreira, Danton Diego Ferreira, Eric Fornaciari, Preetam Ghosh, Guillermo A. Gomez, William B. Gormley, Enzo Grossi, Michael Hagan, Alexander F.C. Hulsbergen, Anushtha Kalia, Rishabh Kapoor, Vasileios Kavouridis, Julia Klapper, Andrzej Kloczkowski, Linda Laras, Anis Larbi, Saul Oswaldo Lugo Reyes, Adria Mallol-Ragolta, Marco Mammi, Javier Martínez, Miguel Ángel Martínez, Francisco Eduardo Martínez-Pérez, Giulia Massini, Faith Matcham, Mary Helen Mays, Pedro Lopes de Melo, Maria Helena Baena de Moraes Lopes, Aditya Nagori, Joseph J. Nalluri, Sandra Edith Nava-Muñoz, Jose I. Nunez-Varela, Carlos Ortíz, Silvia Oviedo, Jatinder Palta, Estefanía Peña, Héctor Gerardo Pérez-González, Charrise Ramkissoon, Zhao Ren, Björn Schuller, Joeky T. Senders, Tavpritesh Sethi, Arjun Sharma, William C. Sleeman, Timothy R. Smith, Abdulhamit Subasi, Khajamoinuddin Syed, Josep Vehi, Amin Zadeh Shirazi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c08c6cd5f281238504ed359c3d790b9a
https://doi.org/10.1016/b978-0-12-817133-2.09992-4
https://doi.org/10.1016/b978-0-12-817133-2.09992-4
Autor:
Silvia Oviedo, UniversidadPontificia Bolivariana, Efraín Mariotte, Jabid Eduardo Quiroga Méndez
Publikováno v:
Revista UIS Ingenierías, Vol 17, Iss 1 (2018)
espanolEn este articulo se estudia un Control Vibratorio Activo (AVC) para un problema de tres carritos. Se comparan los algoritmos de minimos cuadrados filtrados (FxLMS) y minimos cuadrados recurrentes (RLS) en terminos de rechazo de perturbaciones,