Envíos recientes

  • Competición CAEPIA-App: senseUMA 

    Toutouh, Jamal; Alba, Enrique (2018-12-10)
    El Campus de Teatinos de la Universidad de Málaga cubre un área considerable dentro de la cuidad de Málaga (aproximadamente 2 kilómetros 2 ). Por dicho campus cada dı́a transitan miles de personas pertenecientes a la ...
  • Reduction of the size of datasets by using evolutionary feature selection: the case of noise in a modern city 

    Luque, Javier; Toutouh, Jamal; Alba, Enrique (2018-12-10)
    Smart city initiatives have emerged to mitigate the negative effects of a very fast growth of urban areas. Most of the population in our cities are exposed to high levels of noise that generate discomfort and different ...
  • Complex event processing for health monitoring 

    Pérez-Vereda, Alejandro; Flores-Martín, Daniel; Murillo, Juan M.; Canal-Velasco, Jose Carlos (2018-11-26)
    The increase of the life expectancy has become a problem in regions with a low population density. This fact is caused by the existence of small towns all far from one another and with the peculiarity of many elders with ...
  • An Intelligent Advisor for City Traffic Policies 

    Stolfi, Daniel H.; Cintrano López, Christian; Chicano, Francisco; Alba, Enrique (2018-11-26)
    Nowadays, city streets are populated not only by private vehicles but also by public transport, fleets of workers, and deliveries. Since each vehicle class has a maximum cargo capacity, we study in this article how ...
  • Studying Solutions of the p-Median Problem for the Location of Public Bike Stations 

    Cintrano, Christian; Chicano, Francisco; Stützle, Thomas; Alba, Enrique (2018-11-26)
    The use of bicycles as a means of transport is becoming more and more popular today, especially in urban areas, to avoid the disadvantages of individual car traffic. In fact, city managers react to this trend and actively ...
  • Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach 

    Camero, Andrés; Toutouh, Jamal; Alba, Enrique (2018-11-26)
    Recurrent neural networks have demonstrated to be good at tackling prediction problems, however due to their high sensitivity to hyper-parameter configuration, finding an appropriate network is a tough task. Automatic ...
  • Measuring the Quality of Machine Learning and Optimization Frameworks 

    Villalobos, Ignacio; Ferrer, Javier; Alba, Enrique (2018-11-26)
    Software frameworks are daily and extensively used in research, both for fundamental studies and applications. Researchers usually trust in the quality of these frameworks without any evidence that they are correctly build, ...
  • Running Genetic Algorithms in the Edge: A First Analysis 

    Alba, Enrique; Morell, José Ángel (2018-11-26)
    Nowadays, the volume of data produced by different kinds of devices is continuously growing, making even more difficult to solve the many optimization problems that impact directly on our living quality. For instance, ...
  • Finding Best Compiler Options for Critical Software Using Parallel Algorithms 

    Alba, Enrique; Luque-Polo, Gabriel Jesús (2018-11-21)
    The efficiency of a software piece is a key factor for many systems. Real-time programs, critical software, device drivers, kernel OS functions and many other software pieces which are executed thousands or even millions ...
  • Anytime Algorithms for Multi-Objective Hub Location Problems 

    Luque-Polo, Gabriel Jesús; Domínguez-Merino, Enrique; Chicano, Francisco; Ruiz, Ana B. (2018-11-20)
    In many logistic, telecommunications and computer networks, direct routing of commodities between any origin and destination is not viable due to economic and technological constraints. Hub locations problems (HLPs) are ...
  • Comparación de marcos de trabajo de Aprendizaje Profundo para la detección de objetos 

    Benito Picazo, Jesús; Thurnhofer Hemsi, Karl; Molina-Cabello, Miguel Angel; Domínguez, Enrique (2018-11-08)
    Muchas aplicaciones en visión por computador necesitan de sistemas de detección precisos y eficientes. Esta demanda coincide con el auge de la aplicación de técnicas de aprendizaje profundo en casi todos las áreas del ...
  • Metaheurísticas híbridas para el problema del apagado de celdas en redes 5G 

    Zapata Cano, Pablo Helio; Mora García, Antonio; Luna-Valero, Francisco; Padilla-de-la-Torre, Pablo; Valenzuela-Valdés, Juan Francisco (2018-10-30)
    La densificación masiva de estaciones base (BS) es una de las tecnologías facilitadoras bien reconocidas por la literatura para el desarrollo de la quinta generación de redes de telecomunicaciones (5G). Su implementación, ...
  • Enhancing semantic consistency in anti-fraud rule-based expert systems 

    Roldán-García, María del Mar; García-Nieto, José; Aldana-Montes, José F. (2018-10-29)
    En este estudio, se propone un servicio guiado por ontología para la detección y clasificación de problemas de incoherencia semántica en sistemas expertos con bases de reglas de decisión. Se centra en el caso crítico de ...
  • The use of observations of soft X-rays and protons in the UMASEP scheme for making real-time predictions of the SEP events that took place in july and september 2017 

    Nuñez-Paz, Marlon (2018-10-29)
    The UMASEP-10 tool [Núñez, 2011] works in an operational level since 2010, and its >10 MeV Solar Energetic Proton (SEP) predictions are diseminated by NASA’s integrated Space Weather Analysis system (iSWA). This presentation ...
  • Silent speech: restoring the power of speech to people whose larynx has been removed 

    Green, Phil D.; Murphy, Damian; Gully, Amelia; Gilbert, James M.; González López, José Andrés (2018-10-29)
    Every year, some 17,500 people in Europe and North America lose the power of speech after undergoing a laryngectomy, normally as a treatment for throat cancer. Several research groups have recently demonstrated that it is ...
  • Model Driven Evolution of an Agent-Based Home Energy Management System 

    Ayala, Inmaculada; Amor-Pinilla, Maria Mercedes; Horcas, José-Miguel; Fuentes-Fernández, Lidia (2018-10-17)
    Advanced smart home appliances and new models of energy tariffs imposed by energy providers pose new challenges in the automation of home energy management. Users need some assistant tool that helps them to make complex ...
  • Un primer enfoque para medir la calidad de FIWARE 

    Villalobos, Ignacio; Ferrer, Javier; Alba, Enrique (2018-10-15)
    FIWARE es un ecosistema tecnológico abierto que pretendeconvertirse en la plataforma de referencia para los servicios y aplicaciones del Internet del Futuro. Para ello, primero se necesita solventar lasdudas existentes en ...
  • Integrating the common variability language with multilanguage annotations for web engineering 

    Cortiñas, Alejandro; Luaces, Miguel-R; Horcas, José-Miguel; Fuentes-Fernández, Lidia; luaces (2018-10-05)
    Web applications development involves managing a high diversity of files and resources like code, pages or style sheets, implemented in different languages. To deal with the automatic generation of custom-made configurations ...
  • Mecanismos de reconfiguración eco-eficiente de código en aplicaciones móviles Android 

    Canete, Angel; Horcas, José M.; Fuentes-Fernández, Lidia (2018-10-03)
    Los dispositivos móviles ofrecen cada vez mayores prestaciones a costa de un mayor consumo energético. La energía consumida por un móvil no sólo depende de las aplicaciones en sí, sino también de las interacciones del ...
  • vEXgine: extendiendo el motor de ejecución de CVL 

    Horcas, José Miguel; Fuentes-Fernández, Lidia; Pinto-Alarcon, Monica (2018-10-01)
    El Lenguaje CVL (Common Variability Language) carece de una herramienta flexible que permita poner en práctica las necesidades industriales del modelado de la variabilidad en Líneas de Producto Software. Las herramientas ...

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