Zobrazeno 1 - 10
of 20
pro vyhledávání: '"O. L. Quintero"'
Autor:
Alejandro Murillo-González, David González, Laura Jaramillo, Carlos Galeano, Fabby Tavera, Marcia Mejía, Alejandro Hernández, David Restrepo Rivera, J. G. Paniagua, Leandro Ariza-Jiménez, José Julián Garcés Echeverri, Christian Andrés Diaz León, Diana Lucia Serna-Higuita, Wayner Barrios, Wiston Arrázola, Miguel Ángel Mejía, Sebastián Arango, Daniela Marín Ramírez, Emmanuel Salinas-Miranda, O. L. Quintero
Publikováno v:
Frontiers in Medical Technology, Vol 4 (2022)
PurposeDetermination and development of an effective set of models leveraging Artificial Intelligence techniques to generate a system able to support clinical practitioners working with COVID-19 patients. It involves a pipeline including classificati
Externí odkaz:
https://doaj.org/article/01900547ed744fee83e3e8d56b693275
Autor:
Santiago Lopez-Restrepo, Andres Yarce, Nicolás Pinel, O. L. Quintero, Arjo Segers, A. W. Heemink
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 8 (2022)
This work proposes a robust and non-Gaussian version of the shrinkage-based knowledge-aided EnKF implementation called Ensemble Time Local H∞ Filter Knowledge-Aided (EnTLHF-KA). The EnTLHF-KA requires a target covariance matrix to integrate previou
Externí odkaz:
https://doaj.org/article/ced0cb4d845f4f1a86a8bc221abc1741
Publikováno v:
Environmental Science and Pollution Research. 27:35993-36012
Air pollution assessment in the Tropical Andes requires a multidisciplinary approach. This can be supported from the understanding of the underlying biological dynamics and atmospheric behavior, to the mathematical approach for the proper use of all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e390da8d299a835f4de2bf473fd8becd
https://doi.org/10.1007/s11356-020-08268-4
https://doi.org/10.1007/s11356-020-08268-4
Autor:
Arjo Segers, Santiago Lopez-Restrepo, Andres Yarce, Luis G. Guzman-Reyes, Arnold Heemink, Elias D. Nino-Ruiz, Nicolás Pinel, O. L. Quintero
Publikováno v:
Computational Geosciences: modeling, simulation and data analysis, 25(3)
In this paper, we propose an efficient and practical implementation of the ensemble Kalman filter via shrinkage covariance matrix estimation. Our filter implementation combines information brought by an ensemble of model realizations, and that based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d097a740b5fe50d97eac1747aeda5ec4
https://doi.org/10.1007/s10596-021-10035-4
https://doi.org/10.1007/s10596-021-10035-4
Autor:
Arjo Segers, Santiago Lopez-Restrepo, O. L. Quintero, Nicolás Pinel, Andres Yarce, Arnold Heemink
Publikováno v:
Atmosphere, Vol 12, Iss 91, p 91 (2021)
Atmosphere, 12(1)
Atmosphere
Volume 12
Issue 1
Atmosphere, 12(1)
Atmosphere
Volume 12
Issue 1
The use of low air quality networks has been increasing in recent years to study urban pollution dynamics. Here we show the evaluation of the operational Aburrá
Valley&rsquo
s low-cost network against the official monitoring network.
Valley&rsquo
s low-cost network against the official monitoring network.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce451380bb958b0bb6e346a94d433d01
https://www.mdpi.com/2073-4433/12/1/91
https://www.mdpi.com/2073-4433/12/1/91
Autor:
Mario Guzmán, Tatiana Juliao, Nelson Sánchez, Felipe de la Parra, O. L. Quintero, Juan José Gomez, Angelica Maria Carreño
Publikováno v:
Journal of South American Earth Sciences. 109:103276
The compositional, geochemical and petrophysical characterization of a stratigraphic section from the Coniacian-Campanian in the South of the Middle Magdalena Valley basin allowed identifying the potential of this area for unconventional shale reserv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70b962ae62c29fc33e0096bc209f23ac
https://doi.org/10.1016/j.jsames.2021.103276
https://doi.org/10.1016/j.jsames.2021.103276
Publikováno v:
IFMBE Proceedings ISBN: 9783030306472
Unsupervised learning methods are commonly used to perform the non-trivial task of uncovering structure in biological data. However, conventional approaches rely on methods that make assumptions about data distribution and reduce the dimensionality o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99a2786c1b1f2f178d962864527c1b12
https://doi.org/10.1007/978-3-030-30648-9_41
https://doi.org/10.1007/978-3-030-30648-9_41
Autor:
Camilo Isaza, Andres Yarce Botero, O. L. Quintero, Jose Fernando Duque, Jimmy Florez, Santiago Lopez-Restrepo, Diego Valle Lopera, Julian Galvez, Andres Felipe Zapata, Monica Lucia Alvarez Lainez, Angela M. Rendón, Juan Sebastian Rodriguez, Jose Ignacio Marulanda, Elena Montilla, Nicolás Pinel
Publikováno v:
2019 Congreso Colombiano y Conferencia Internacional de Calidad de Aire y Salud Pública (CASP).
La denominada mision HIPAE (Helicopter-borne In-situ Pollution Assessment Experiment) desarrollo una prueba de concepto dentro de una aeronave de la Fuerza Aerea Colombiana, sobrevolando el Valle de Aburra para transportar dos tipos de contadores de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::681f2f9e5026b3b775774e60aafe3762
https://doi.org/10.1109/casap48673.2019.9364040
https://doi.org/10.1109/casap48673.2019.9364040
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030310189
WEA
WEA
Visualizing the cluster structure of high-dimensional data is a non-trivial task that must be able to deal with the large dimensionality of the input data. Unlike hard clustering structures, visualization of fuzzy clusterings is not as straightforwar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9f844c6be22a90f8ea5135dbdf28642
https://doi.org/10.1007/978-3-030-31019-6_23
https://doi.org/10.1007/978-3-030-31019-6_23