Listar Lenguajes y Ciencias de la Computación - (LCC) por título
Mostrando ítems 406-425 de 568
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Padé numerical schemes for the sine–Gordon equation
(Elsevier, 2019)The sine-Gordon equation turn up in several problems in science and engineering. Although it is integrable, in practical applications, its numerical solution is powerful and versatile. Four novel implicit finite difference ... -
Padé numerical schemes with Richardson extrapolation for the sine–Gordon equation
Martin Vergara, Francisca; Rus-Mansilla, Francisco de Asis
; Villatoro-Machuca, Francisco Roman (Elsevier, 2020)
Four novel implicit finite difference methods with ( q + s ) -th order in space based on ( q, s )-Padé approximations have been analyzed and developed for the sine-Gordon equation. Specifically, (4,0)-, (2,2)-, (4,2)-, and ... -
Panoramic Background Modeling for PTZ Cameras with Competitive Learning Neural Networks
Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Luque-Baena, Rafael Marcos; Molina-Cabello, Miguel Angel (2017-05-29)
The construction of a model of the background of a scene still remains as a challenging task in video surveillance systems, in particular for moving cameras. This work presents a novel approach for constructing a panoramic ... -
El papel de los ciudadanos en las ciudades inteligentes: un escenario de movilidad urbana
Perez-Vereda, Alejandro; Canal-Velasco, Jose Carlos; Berrocal, Javier; García-Alonso, José; Murillo, Juan M. (2017-05-04)
Gran parte de los esfuerzos dedicados al desarrollo de las llamadas ciudades inteligentes se centran en el campo del Internet of Things (IoT). Las instituciones ofrecen habitualmente la información recolectada mediante IoT ... -
Parallel Hybrid Trajectory Based Metaheuristics for Real-World Problems
Luque-Polo, Gabriel Jesús; Alba-Torres, Enrique (2015-09-10)
This paper proposes a novel algorithm combining path relinking with a set of cooperating trajectory based parallel algorithms to yield a new metaheuristic of enhanced search features. Algorithms based on the exploration ... -
Parallel In-place Model Transformations with LinTra
As software systems have grown large and complex in the last few years, the problems with which Model-Driven Development has to cope have increased at the same pace. In particular, the need to improve the performance and ... -
Peer assessments in Engineering: A pilot project
Thurnhofer-Hemsi, Karl; Molina-Cabello, Miguel Angel; Palomo, Esteban José; López-Rubio, Ezequiel; Domínguez, Enrique (2021)
The evaluation methods employed in a course are the most important point for the students, above any other learning aspect. For teachers, this task is arduous when the number of students is high. Traditional evaluation ... -
People as a Service: a mobile-centric model for providing collective sociological profiles
García-Alonso, José; Miranda, Javier; Berrocal, Javier; Murillo, Juan Manuel; Canal-Velasco, Jose Carlos (2014-10-06)
Mobile devices have become increasingly popular in the everyday life of many individuals. By taking an insight into the most common uses of mobile devices we clearly appreciate that accessing internetbased services has ... -
Performance analysis of the Multi‑connection Tactile Internet Protocol over 5G
Rico, Delia; Grinemmo, Karl‑Johan; Brunstrom, Anna; Merino-Gomez, Pedro (Springer Nature, 2023)
Tactile Internet is an Internet network that combines ultra-low latency with extremely high availability and reliability. Since traditional protocols, such as UDP and TCP, cannot support this operation, other transport ... -
Phase Shifter for Millimeter-Wave Frequency Range Based on Glide Symmetric Structures
(2019-03-13)The use of glide symmetry in radiofrequency devices to introduce dispersive effects has been recently proposed and demonstrated. One of these effects is to control the propagation constant of the structure. Here, we propose ... -
Photovoltaic energy prediction using machine learning techniques.
Solar energy is becoming one of the most promising power sources in residential, commercial, and industrial applications. Solar photovoltaic (PV) facilities use PV cells that convert solar irradiation into electric power. ... -
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments
Molina-Cabello, Miguel Angel; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos; Domínguez, Enrique; Palomo, Esteban José
Among current foreground detection algorithms for video sequences, methods based on self-organizing maps are obtaining a greater relevance. In this work we propose a probabilistic self-organising map based model, which ... -
Plataforma de supercomputación para bioinformática
(Servicio de Publicaciones y Divulgacion Científica, 2015)En el año 2007 la Universidad de Málaga amplió y trasladó sus recursos de cálculo a un nuevo centro dedicado exclusivamente a la investigación: el edificio de Supercomputación y Bioinnovación sito en el Parque Tecnológico ... -
Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks
Pneumonia is an infectious and deadly disease which strikes over millions of people. Usually, chest X-rays are used by radiotherapist to diagnose pneumonia. In this paper, a Computer- Aided Diagnosis (CAD) system for ... -
PQ-learning: aprendizaje por refuerzo multiobjetivo
En este artí culo describimos y analizamos PQ-learning, un algoritmo para problemas de aprendizaje por refuerzo multiobjetivo. El algoritmo es una extensi ón de Q-learning, un algoritmo para problemas de aprendizaje ... -
Predicting Car Park Occupancy Rates in Smart Cities
Stolfi, Daniel H.; Alba-Torres, Enrique; Yao, Xin (Springer, 2017)
In this article we address the study of parking occupancy data published by the Birmingham city council with the aim of testing several prediction strategies (polynomial fitting, Fourier series, k-means clustering, and ... -
Prediction of Protein Oxidation Sites
Veredas-Navarro, Francisco Javier; Cantón, Francisco R.; Aledo-Ramos, Juan Carlos (Springer International Publishing AG, 2017-05-18)
Although reactive oxygen species are best known as damag- ing agents linked to aerobic metabolism, it is now clear that they can also function as messengers in cellular signalling processes. Methionine, one of the two ... -
Preprocesado de flujos de datos para aprendizaje automático mediante reglas CEP
Ramirez, Aurora; Moreno, Nathalie; Fernández-Bertoa, Manuel; Vallecillo-Moreno, Antonio Jesus (2019-09-20)
El procesamiento de flujos de información constituye un área de gran relevancia dentro de la gestión de datos, pues sus métodos deben ser ágiles y eficientes para soportar el volumen y la velocidad con la que los datos se ... -
Preventing Advanced Persistent Threats in Complex Control Networks
Rubio, Juan E.; Alcaraz-Tello, María Cristina; Lopez, Javier (2017-10-03)
An Advanced Persistent Threat (APT) is an emerging attack against Industrial Control and Automation Systems, that is executed over a long period of time and is difficult to detect. In this context, graph theory can be ... -
Primitive Operators for the Concurrent Execution of Model Transformations Based on LinTra
Burgueño-Caballero, Lola; Syriani, Eugene; Wimmer, Manuel; Gray, Jeff; Vallecillo-Moreno, Antonio Jesus
Performance and scalability of model transformations are becoming prominent topics in Model-Driven Engineering. In previous work, we introduced LinTra, a platform for executing out-place model transformations in parallel. ...