Envíos recientes

  • Infering Air Quality from Traffic Data using Transferable Neural Network Models 

    Molina-Cabello, Miguel A.; Passow, Benjamin N.; Domínguez-Merino, Enrique; Elizondo, David; Obszynska, Jolanta (Springer, 2019-06)
    This work presents a neural network based model for inferring air quality from traffic measurements. It is important to obtain information on air quality in urban environments in order to meet legislative and policy ...
  • Solving Multi-Objective Hub Location Problems with Robustness 

    Domínguez, Miguel A.; Domínguez-Merino, Enrique; Chicano, Francisco; Luque-Polo, Gabriel Jesús (2019-06-19)
    Hub location problems (HLP) are considered in many logistic, telecommunications, and computer problems, where the design of these networks are optimized based on some objective(s) related to the cost or service. In those ...
  • Analyzing Digital Image by Deep Learning for Melanoma Diagnosis 

    Thurnhofer Hemsi, Karl; Domínguez-Merino, Enrique (2019-06-19)
    Image classi cation is an important task in many medical applications, in order to achieve an adequate diagnostic of di erent le- sions. Melanoma is a frequent kind of skin cancer, which most of them can be detected by ...
  • Coordinación de Dispositivos IoT mediante Web Semántica y Ontologías en Situational-Context 

    Flores-Martin, Daniel; Pérez-Vereda, Alejandro; Berrocal, Javier; Canal-Velasco, Jose Carlos; Murillo, Juan Manuel (2019-06-19)
    El ritmo al que crece Internet de las Cosas (IoT) es imparable. Existen multitud de fabricantes que desarrollan dispositivos IoT, siguiendo sus propias especificaciones y sin atender a un estándar que todavía no existe ...
  • Formalización de una arquitectura de computación móvil basada en Linda 

    Pérez-Vereda, Alejandro; Canal-Velasco, Jose Carlos; Pimentel, Ernesto (2019-06-19)
    Gracias a los avances y el desarrollo que está experimentando el campo de la Internet de las Cosas (Internet of Things, IoT), cada día hay más dispositivos a los que se llama inteligentes. Estos dispositivos disponen de ...
  • Procesamiento de Eventos Complejos para la determinación de rutas en ciudades inteligentes 

    Pérez-Vereda, Alejandro; Bandera, David; Canal-Velasco, Jose Carlos (2019-06-19)
    Una de las principales características de una ciudad inteligente es la publicación de datos abiertos que monitorizan diferentes aspectos de la misma, desde sistemas de movilidad a niveles de polen. Sin embargo, esta ...
  • Deep Learning networks with p-norm loss layers for spatial resolution enhancement of 3D medical images 

    Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Roé-Vellvé, Núria; Molina-Cabello, Miguel A. (2019-06-19)
    Nowadays, obtaining high-quality magnetic resonance (MR) images is a complex problem due to several acquisition factors, but is crucial in order to perform good diagnostics. The enhancement of the resolution is a typical ...
  • A transfer-learning approach to feature extraction from cancer transcriptomes with deep autoencoders 

    López-García, Guillermo; Jerez, José M; Franco, Leonardo; Veredas-Navarro, Francisco Javier (2019-06-18)
    The diagnosis and prognosis of cancer are among the more challenging tasks that oncology medicine deals with. With the main aim of fitting the more appropriate treatments, current personalized medicine focuses on using ...
  • Background modeling by shifted tilings of stacked denoising autoencoders 

    García-González, Jorge; Ortiz-de-lazcano-Lobato, Juan Miguel; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel (2019-06-18)
    The effective processing of visual data without interruption is currently of supreme importance. For that purpose, the analysis system must adapt to events that may affect the data quality and maintain its performance level ...
  • Dynamically programmable virtual profiles as a service 

    Pérez-Vereda, Alejandro; Canal-Velasco, Jose Carlos (2019-06-17)
    Many devices in our daily environments are being connected to the network, building what has been called the Web of Things. Although these things offer a web interface to interact with, this interaction must be performed ...
  • One step towards dynamically programmable things: an implementation using Beacons 

    Bandera, David; Pérez-Vereda, Alejandro; Canal-Velasco, Jose Carlos; Pimentel, Ernesto (2019-06-17)
    The number of devices connected to the internet is constantly increasing. This large amount of devices can be used to improve people’s interaction with their environment. However, this also implies an increase in the ...
  • Content Based Image Retrieval by Convolutional Neural Networks 

    Hamreras, Safa; Benitez-Rochel, Rafaela; Boucheham, Bachir; Molina-Cabello, Miguel A.; López-Rubio, Ezequiel (2019-06-07)
    In this paper, we present a Convolutional Neural Network (CNN) for feature extraction in Content based Image Retrieval (CBIR). The proposed CNN aims at reducing the semantic gap between low level and high-level features. ...
  • The Current Status of Social Risks on Educational Systems. An Analysis Through Social Media 

    Pelaez-Sanchez, Jose Ignacio; Vaccaro Witt, Gustavo Fabian; Cabrera Lara, Francisco Elias (L. Gómez Chova, A. López Martínez, I. Candel Torres. IATED Academy, 2018-11)
    Social Risk in education such as bullying, are usually invisible to teachers and parents, at all educational levels. However, these risks remain a reality everywhere in the world, turning into a problem that is rapidly ...
  • Gain-Reconfigurable Hybrid Metal-Graphene Printed Yagi Antenna for Energy Harvesting Applications 

    Alex-Amor, Antonio; Palomares-Caballero, Ángel; de la Fuente, Elena; Muriel-Barrado, Alfonso; Valenzuela-Valdés, Juan Francisco; [et al.] (2019-04-26)
    This paper presents a hybrid metal-graphene printed Yagi antenna with reconfigurable gain that operates in the 5.5-GHz band. The balun and the driven elements are made of copper, while the directors are made of graphene. ...
  • Phase Shifter for Millimeter-Wave Frequency Range Based on Glide Symmetric Structures 

    Palomares-Caballero, Ángel; Alex-Amor, Antonio; Valenzuela-Valdés, Juan; Luna, Francisco; Padilla, Pablo (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 ...
  • A Security Pattern for Cloud service certification 

    Muñoz-Gallego, Antonio Jesús; López, Javier (2019-02-22)
    Cloud computing is interesting from the economic, operational and even energy consumption perspectives but it still raises concerns regarding the security, privacy, governance and compliance of the data and software ...
  • 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 ...

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