Zobrazeno 1 - 10
of 317
pro vyhledávání: '"Jesus Carretero"'
Autor:
Katharine Sherratt, Ajitesh Srivastava, Kylie Ainslie, David E. Singh, Aymar Cublier, Maria Cristina Marinescu, Jesus Carretero, Alberto Cascajo Garcia, Nicolas Franco, Lander Willem, Steven Abrams, Christel Faes, Philippe Beutels, Niel Hens, Sebastian Müller, Billy Charlton, Ricardo Ewert, Sydney Paltra, Christian Rakow, Jakob Rehmann, Tim Conrad, Christof Schütte, Kai Nagel, Sam Abbott, Rok Grah, Rene Niehus, Bastian Prasse, Frank Sandmann, Sebastian Funk
Publikováno v:
Epidemics, Vol 47, Iss , Pp 100765- (2024)
Background: Collaborative comparisons and combinations of epidemic models are used as policy-relevant evidence during epidemic outbreaks. In the process of collecting multiple model projections, such collaborations may gain or lose relevant informati
Externí odkaz:
https://doaj.org/article/ea2c6a12ffb7462bb32e28d130682b1f
Autor:
Javier Alvarez-Galvez, Esther Ortega-Martin, Begoña Ramos-Fiol, Victor Suarez-Lledo, Jesus Carretero-Bravo
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Abstract Multimorbidity –understood as the occurrence of chronic diseases together– represents a major challenge for healthcare systems due to its impact on disability, quality of life, increased use of services and mortality. However, despite th
Externí odkaz:
https://doaj.org/article/81547ef872ec463f80c096372c65336b
Autor:
J. Armando Barron-Lugo, Ivan Lopez-Arevalo, J.L. Gonzalez-Compean, M. Susana Alvarado-Barrientos, Jesus Carretero, Victor J. Sosa-Sosa, Raffaele Montella
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103736- (2024)
This paper presents Kawak, a GIS-bigdata model for merging retrospective meteorological data with ground-based observations to achieve comprehensive territorial coverage. This model identifies areas without active ground-based stations and creates vi
Externí odkaz:
https://doaj.org/article/1fa9e8dd11de42e0af23cb003b7880af
Publikováno v:
IEEE Access, Vol 11, Pp 36244-36263 (2023)
Virtualization has become one of the main tools for making efficient use of the resources offered by multicore embedded platforms. In recent years, even sectors such as space, aviation, and automotive, traditionally wary of adopting this type of tech
Externí odkaz:
https://doaj.org/article/ab9fcf629f5d4bca86a8c4ad27a9866d
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-16 (2022)
Abstract Background Nowadays doctors and radiologists are overwhelmed with a huge amount of work. This led to the effort to design different Computer-Aided Diagnosis systems (CAD system), with the aim of accomplishing a faster and more accurate diagn
Externí odkaz:
https://doaj.org/article/5e9a69da01c04d37b17ee5cd52133085
Autor:
David E. Singh, Maria-Cristina Marinescu, Miguel Guzmán-Merino, Christian Durán, Concepción Delgado-Sanz, Diana Gomez-Barroso, Jesus Carretero
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/11ae2ef50bfe43709ec578525b24dbab
Publikováno v:
IEEE Access, Vol 10, Pp 21853-21882 (2022)
This survey reviews the scientific literature on techniques for reducing interference in real-time multicore systems, focusing on the approaches proposed between 2015 and 2020. It also presents proposals that use interference reduction techniques wit
Externí odkaz:
https://doaj.org/article/93e0cd5827ae41d3916af2595296acc9
Autor:
Concepción Delgado-Sanz, Diana Gómez-Barroso, David E Singh, Carmen Olmedo Luceron, Aurora Limia Sanchez, Miguel Guzman Merino, Christian Duran Gonzalez, Jesus Carretero, Maria-Cristina Marinescu
Publikováno v:
BMJ Open, Vol 12, Iss 12 (2022)
Objective We analyse the impact of different vaccination strategies on the propagation of COVID-19 within the Madrid metropolitan area, starting on 27 December 2020 and ending in Summer of 2021.Materials and methods The predictions are based on simul
Externí odkaz:
https://doaj.org/article/e8f211591bfe42c68513fcc35c3d9344
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract The main purpose of this work is to investigate and compare several deep learning enhanced techniques applied to X-ray and CT-scan medical images for the detection of COVID-19. In this paper, we used four powerful pre-trained CNN models, VGG
Externí odkaz:
https://doaj.org/article/0e11f898e1e54fb7930e0a8c38edb33f
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
Externí odkaz:
https://doaj.org/article/30b4556957e3418bb9377d6e9489749a