• 2TRAIN – Análisis deportivo de la ciudad de Málaga 

      Ruiz Lara, Alejandro (2018-04-17)
      El avance del concepto que se entiende por web, sus aplicaciones y toda la capacidad informativa que ofrece crece a un ritmo exponencial. Este crecimiento centra su fundamento en aumentar el bienestar de sus usuarios y ...
    • A characterisation of reliability tools for Software Defined Networks 

      Lavado, Leticia; Panizo, Laura; Gallardo, María del Mar; Merino-Gomez, Pedro (2017)
      Software Defined Network (SDN) is a new paradigm in networking that introduces great flexibility, allowing the dynamic configuration of parts of the network through centralised programming. SDN has been successfully applied ...
    • A Configurable Smart E-Nose for Spatio-Temporal Olfactory Analysis 

      Sanchez-Garrido, Jose Carlos; G. Monroy, Javier; Gonzalez-Jimenez, Antonio Javier (2014-11-12)
      This paper describes a novel electronic nose (enose) aimed at applications that require knowing not only the gas composition and concentration, but also its temporal and spatial evolution. This is done by capturing ...
    • A Framework For TV Logos Learning Using Linear Inverse Diffusion Filters For Noise Removal 

      Ramos-Cozar, Julian; Zeljković, Vesna; Gonzalez-Linares, Jose Maria; Guil-Mata, Nicolas; Tameze, Claude; [et al.] (IEEE, 2013)
      Different logotypes represent significant cues for video annotations. A combination of temporal and spatial segmentation methods can be used for logo extraction from various video contents. To achieve this segmentation, ...
    • A Genetic Algorithm for solving the Discrete Ordered Median Problem with Induced Order 

      Domínguez, Enrique (2017-07-18)
      The Discrete Ordered Median Problem with Induced Ordered (DOMP+IO) is a multi-facility version of the classical discrete ordered median problem (DOMP), which has been widely studied. Several exact methods have been ...
    • A Hybrid Piece-Wise Slowdown Model for Concurrent Kernel Execution on GPU 

      López Albelda, Bernabé; Castro, Francisco M.; Gonzalez-Linares, Jose Maria; Guil-Mata, Nicolas (José Cano, Phil Trinder, 2022-08)
      Current execution of kernels on GPUs allows improving the use of hardware resources and reducing the execution time of co-executed kernels. In addition, efficient kernel-oriented scheduling policies pursuing criteria based ...
    • A Linda-based Platform for the Parallel Execution of Out-place Model Transformations 

      Burgueño, Loli; Wimmer, Manuel; Vallecillo-Moreno, Antonio Jesus (2017)
      Context: The performance and scalability of model transformations is gaining interest as industry is progressively adopting model-driven techniques and multicore computers are becoming commonplace. However, existing model ...
    • A methodology for obtaining More Realistic Cross-Layer QoS Measurements in mobile networks: A VoIP over LTE Use Case 

      Rivas-Tocado, Francisco Javier (Servicio de Publicaciones y Divulgación Científica, 2015)
      Los servicios de voz han sido durante mucho tiempo la primera fuente de ingresos para los operadores móviles. Incluso con el protagonismo creciente del tráfico de datos, los servicios de voz seguirán jugando un papel ...
    • A methodology to find the elementary landscape decomposition of combinatorial optimization problems 

      Chicano, Francisco; Whitley, L. Darrell; Alba-Torres, Enrique (2014-10-03)
      A small number of combinatorial optimization problems have search spaces that correspond to elementary landscapes, where the objective function f is an eigenfunction of the Laplacian that describes the neighborhood structure ...
    • A Milestone-Driven Approach for Lab Assignments Evaluation in Information Security 

      Nuñez, David; Moyano, Francisco; Nieto, Ana; Ortega, Juan J.; Agudo-Ruiz, Isaac; [et al.] (2014-09-17)
      In this paper we describe a methodology for designing and evaluating lab assignments based on the fulfilment of milestones. The approach relies on the integration of ICTs with an automatic, milestone-based evaluation. The ...
    • A multi-hierarchical symbolic model of the environment for improving mobile robot operation 

      Galindo, Cipriano (Servicio de Publicaciones y Divulgación Científica, 2015)
      El trabajo desarrollado en esta tesis se centra en el estudio y aplicación de estructuras multijerárquicas, que representan el entorno de un robot móvil, con el objetivo de mejorar su capacidad de realizar tareas complejas ...
    • A Multi-Objective Optimization Framework for Multiple Sequence Alignment with Metaheuristics 

      Zambrano-Vega, Cristian; Nebro-Urbaneja, Antonio Jesus; García-Nieto, José; Aldana-Montes, Jose Francisco (2017-05-02)
      The alignment of more than two biological sequences is a widely used technique in a number of areas of computational biology. However, finding an optimal alignment has been shown to be an NP-complete optimization problem. ...
    • A New Multi-Objective Approach for Molecular Docking Based on RMSD and Binding Energy 

      López-Camacho, Esteban; García Godoy, María Jesús; García-Nieto, José; Nebro-Urbaneja, Antonio Jesus; Aldana-Montes, Jose Francisco (2016-07-12)
      Ligand-protein docking is an optimization problem based on predicting the position of a ligand with the lowest binding energy in the active site of the receptor. Molecular docking problems are traditionally tackled with ...
    • A novel continual learning approach for competitive neural networks 

      Fernández Rodríguez, José David; Maza Quiroga, Rosa María; Palomo Ferrer, Esteban José; Ortiz-de-lazcano-Lobato, Juan Miguel; López-Rubio, Ezequiel (2022)
      Continual learning tries to address the stability-plasticity dilemma to avoid catastrophic forgetting when dealing with non-stationary distributions. Prior works focused on supervised or reinforcement learning, but few ...
    • A Novel Multiobjective Formulation of the Robust Software Project Scheduling Problem 

      Chicano, Francisco; Cervantes, Alejandro; Luna, Francisco; Recio, Gustavo (2014-10-07)
      The Software Project Scheduling (SPS) problem refers to the distribution of tasks during a software project lifetime. Software development involves managing human resources and a total budget in an optimal way for a ...
    • A parallel evolutionary algorithm for prioritized pairwise testing of software product lines 

      Lopez-Herrejon, Roberto E.; Ferrer, Javier; Chicano, Francisco; Haslinger, Evelyn Nicole; Eyed, Alexander; [et al.] (2014-10-07)
      Software Product Lines (SPLs) are families of related software systems, which provide different feature combinations. Different SPL testing approaches have been proposed. However, despite the extensive and successful use ...
    • A people-oriented paradigm for smart cities 

      Pérez-Vereda, Alejandro; Canal-Velasco, Jose Carlos (2017-05-04)
      Most works in the literature agree on considering the Internet of Things (IoT) as the base technology to collect information related to smart cities. This information is usually offered as open data for its analysis, and ...
    • A Primal-Dual Framework for Real-Time Dense RGB-D Scene Flow 

      Jaimez, Mariano; Souiai, Mohamed; Gonzalez-Jimenez, Antonio Javier; Cremers, Daniel (IEEE, 2015-05)
      This paper presents the first method to compute dense scene flow in real-time for RGB-D cameras. It is based on a variational formulation where brightness constancy and geometric consistency are imposed. Accounting for ...
    • A Requirements-Driven Approach for Building Architecture Projects of Self-Adaptive Systems 

      Araujo De Oliveira, Patricia (UMA Editorial, 2022)
      A well-structured software architectural project allows us to analyze and describe the properties of a complex system towards a general and complete overview, thus enabling the alternative decision-making in the face of ...
    • A Robotic Experiment Toward Understanding Human Gas-Source Localization Strategies 

      Gongora, Andres; Monroy, Javier G.; Gonzalez-Jimenez, Antonio Javier (2017-06-15)
      This paper describes an experiment for gas-source localization with a human-teleoperated mobile robot devised to gather data on how humans search for odor-sources. To that end, more than 150 repetitions of the search ...