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    Mostrando ítems 87-106 de 112

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      • Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks 

        García-González, Jorge; Molina-Cabello, Miguel ÁngelAutoridad Universidad de Málaga; Luque-Baena, Rafael MarcosAutoridad Universidad de Málaga; Ortiz-de-Lazcano-Lobato, Juan MiguelAutoridad Universidad de Málaga; López-Rubio, EzequielAutoridad Universidad de Málaga (ELSEVIER, 2021-12)
        Air quality and reduction of emissions in the transport sector are determinant factors in achieving a sustainable global climate. The monitoring of emissions in traffic routes can help to improve route planning and to ...
      • Robust Off- and Online Separation of Intracellularly Recorded Up and Down Cortical States 

        Seamari, Yamina; Narváez-Bueno, José ÁngelAutoridad Universidad de Málaga; Vico-Vela, Francisco JoséAutoridad Universidad de Málaga; Lobo Fernández, Daniel; Sánchez Vives, María Victoria (2007)
        Background. The neuronal cortical network generates slow (<1 Hz) spontaneous rhythmic activity that emerges from the recurrent connectivity. This activity occurs during slow wave sleep or anesthesia and also in cortical ...
      • SAMGRID: Security Authorization and Monitoring Module Based on SealedGRID Platform 

        Suciu, George; Farao, Aristeidis; Bernardinetti, Giorgio; Palamà, Ivan; Sachian, Mari-Anais; Vochin, Marius-Constantin; Muresan, Pavel; Bampatsikos, Michail; Muñoz-Gallego, Antonio RománAutoridad Universidad de Málaga; Xenakis, Christos[et al.] (IOAP-MPDI, 2022-08-30)
        IoT devices present an ever-growing domain with multiple applicability. This technology has favored and still favors many areas by creating critical infrastructures that are as profitable as possible. This paper presents ...
      • Search based algorithms for test sequence generation in functional testing 

        Ferrer-Urbano, Francisco JavierAutoridad Universidad de Málaga; Kruse, Peter M.; Chicano-García, José-FranciscoAutoridad Universidad de Málaga; Alba-Torres, EnriqueAutoridad Universidad de Málaga (2014-10-03)
        The generation of dynamic test sequences from a formal specification, complementing traditional testing methods in order to find errors in the source code. Objective In this paper we extend one specific combinatorial ...
      • Selfo: A class of self-organizing connection games 

        Vico-Vela, Francisco JoséAutoridad Universidad de Málaga (2007)
        Selfo is defined as a class of abstract strategy board games subscribed to the category of connection games. Its name derives from the phenomenon of self-organization (i.e. the increase in a system’s organization without ...
      • Semantic modelling of Earth Observation remote sensing 

        Aldana Martín, José Francisco; García-Nieto, José ManuelAutoridad Universidad de Málaga; Roldán-García, María del MarAutoridad Universidad de Málaga; Aldana-Montes, José FranciscoAutoridad Universidad de Málaga (ELSEVIER, 2022-01)
        Earth Observation (EO) based on Remote Sensing (RS) is gaining importance nowadays, since it offers a well-grounded technological framework for the development of advanced applications in multiple domains, such as climate ...
      • Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification 

        Toutouh-el-Alamin, JamalAutoridad Universidad de Málaga; Nalluru, Subhash; Hemberg, Erik; O’Reilly, Una-May (Elsevier, 2023-09-30)
      • SERA: Sistema para la Evaluación y Retroalimentación Automática de Prácticas 

        Agudo-Ruiz, IsaacAutoridad Universidad de Málaga; Ríos-del-Pozo, RubénAutoridad Universidad de Málaga; Nieto, Ana (2020-06-10)
        En este artículo presentamos una sistema modular y altamente configurable que permite no sólo la generación y evaluación automática de prácticas de laboratorio sino también proporcionar una retroalimentación instantánea ...
      • Skin lesion classification by ensembles of deep convolutional networks and regularly spaced shifting 

        Thurnhofer Hemsi, Karl; López-Rubio, EzequielAutoridad Universidad de Málaga; Domínguez, Enrique; Elizondo Acuña, David Alberto (2021)
        Skin lesions are caused due to multiple factors, like allergies, infections, exposition to the sun, etc. These skin diseases have become a challenge in medical diagnosis due to visual similarities, where image classification ...
      • Software project management with GAs 

        Alba-Torres, EnriqueAutoridad Universidad de Málaga; Chicano-García, José-FranciscoAutoridad Universidad de Málaga (2014-10-01)
        A Project Scheduling Problem consists in deciding who does what during the software project lifetime. This is a capital issue in the practice of software engineering, since the total budget and human resources involved ...
      • Some operations preserving primitivity of words 

        Dassow, Jürgen; Martín Reyes, Gema María; Vico-Vela, Francisco JoséAutoridad Universidad de Málaga (Elsevier, 2009)
        We investigate some operations where essentially, from a given word w, the word ww′ is constructed where w′ is a modified copy of w or a modified mirror image of w. We study whether ww′ is a primitive word provided that w ...
      • STAN: analysis of data traces using an event-driven interval temporal logic 

        Panizo-Jaime, LauraAutoridad Universidad de Málaga; Gallardo-Melgarejo, María del MarAutoridad Universidad de Málaga (Springer Nature, 2022-11-30)
        The increasing integration of systems into people’s daily routines, especially smartphones, requires ensuring correctness of their functionality and even some performance requirements. Sometimes, we can only observe the ...
      • A temporal difference method for multi-objective reinforcement learning 

        Ruiz-Montiel, Manuela; Mandow-Andaluz, LorenzoAutoridad Universidad de Málaga; Pérez-de-la-Cruz-Molina, José LuisAutoridad Universidad de Málaga (2019-10-17)
        This work describes MPQ-learning, an temporal-difference method that approximates the set of all non-dominated policies in multi-objective Markov decision problems, where rewards are vectors and each component stands for ...
      • The component model for elementary landscapes and partial neighborhoods 

        Whitley, L. Darrell; Sutton, Andrew M.; Ochoa, Gabriela; Chicano-García, José-FranciscoAutoridad Universidad de Málaga (2014-09-29)
        Local search algorithms exploit moves on an adjacency graph of the search space. An “elementary landscape” exists if the objective function f is an eigenfunction of the Laplacian of the graph induced by the neighborhood ...
      • The orchestration of Machine Learning frameworks with datastreams and GPU acceleration in Kafka-ML: A deep-learning performance comparative 

        Chaves García, Antonio Jesús; Martin-Fernandez, CristianAutoridad Universidad de Málaga; Díaz-Rodríguez, ManuelAutoridad Universidad de Málaga (Wiley, 2023)
        Machine Learning (ML) applications need large volumes of data to train their modelsso that they can make high-quality predictions. Given digital revolution enablers suchas the Internet of Things (IoT) and the Industry 4.0, ...
      • The software project scheduling problem: A scalability analysis of multi-objective metaheuristics 

        Luna, Francisco; González-Álvarez, David L.; Chicano-García, José-FranciscoAutoridad Universidad de Málaga; Vega-Rodríguez, Miguel A. (2014-10-02)
        Computer aided techniques for scheduling software projects are a crucial step in the software development process within the highly competitive software industry. The Software Project Scheduling (SPS) problem relates to ...
      • 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 

        Núñez-Paz, MarlonAutoridad Universidad de Málaga (IOAP-MDPI, 2022-01-07)
        The prediction of solar energetic particle (SEP) events may help to improve the mitigation of adverse effects on humans and technology in space. UMASEP (University of Málaga Solar particle Event Predictor) is an empirical ...
      • TITAN: A knowledge-based platform for Big Data workflow management 

        Benítez-Hidalgo, Antonio; Barba-González, CristóbalAutoridad Universidad de Málaga; Gutiérrez-Moncayo, Pedro; Paneque, Manuel; Nebro-Urbaneja, Antonio JesúsAutoridad Universidad de Málaga; Roldán-García, María del MarAutoridad Universidad de Málaga; Aldana-Montes, José FranciscoAutoridad Universidad de Málaga; Navas-Delgado, IsmaelAutoridad Universidad de Málaga[et al.] (ELSEVIER, 2021-11-28)
        Modern applications of Big Data are transcending from being scalable solutions of data processing and analysis, to now provide advanced functionalities with the ability to exploit and understand the underpinning knowledge. ...
      • Transforming numerical feature models into propositional formulas and the universal variability language 

        Muñoz-Guerra, Daniel Jesús; Pinto-Alarcón, MónicaAutoridad Universidad de Málaga; Fuentes-Fernández, LidiaAutoridad Universidad de Málaga; Batory, Don (Elsevier, 2023)
        Real-world Software Product Lines (SPLs) need Numerical Feature Models (NFMs) whose features have not only boolean values that satisfy boolean constraints but also have numeric attributes that satisfy arithmetic constraints. ...
      • Using Bayesian networks to improve knowledge assessment 

        Millán-Valldeperas, EvaAutoridad Universidad de Málaga; Descalço, Luis; Castillo, Gladys; Oliveira, Paula; Diogo, Sandra (Elsevier, 2013-01)
        In this paper, we describe the integration and evaluation of an existing generic Bayesian student model (GBSM) into an existing computerized testing system within the Mathematics Education Project (PmatE - Projecto ...
        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
         

         

        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA