Listar LCC - Artículos por título
Mostrando ítems 79-98 de 237
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EARMO: An Energy-Aware Refactoring Approach for Mobile Apps
(IEEE, 2017)The energy consumption of mobile apps is a trending topic and researchers are actively investigating the role of coding practices on energy consumption. Recent studies suggest that design choices can conflict with energy ... -
Edge-Assisted Vehicular Networks Security.
Onieva-González, José Antonio
; Ríos-del-Pozo, Rubén; Román-Castro, Rodrigo; López-Muñoz, Francisco Javier (2019)
Edge Computing paradigms are expected to solve some major problems affecting current application scenarios that rely on Cloud computing resources to operate. These novel paradigms will bring computational resources ... -
Effect of the initial conditions on a one-dimensional model of small-amplitude wave propagation in shallow water: II: Blowup for nonsmooth conditions.
Ramos-Sobrados, Juan Ignacio; García-López, Carmen María (Emerald, 2023-11-27)
Abstract Purpose – The purpose of this paper is to analyze numerically the blowup in finite time of the solutions to a one-dimensional, bidirectional, nonlinear wave model equation for the propagation of small-amplitude ... -
Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors.
Rebeen, Hamad; Salguero-Hidalgo, Alberto Gabriel; Bouguelia, Mohamed-Rafik; Espinilla-Estévez, Macarena; Medina-Quero, Javier (IEEE, 2019)
Human activity recognition has become an active research field over the past few years due to its wide application in various fields such as health-care, smart home monitoring, and surveillance. Existing approaches for ... -
Efficient anytime algorithms to solve the bi-objective Next Release Problem
Domínguez-Ríos, Miguel Ángel; Chicano-García, José-Francisco; Alba-Torres, Enrique; Del Águila, Isabel María; Del Sagrado, José (2019-06-27)
The Next Release Problem consists in selecting a subset of requirements to develop in the next release of a software product. The selection should be done in a way that maximizes the satisfaction of the stakeholders while ... -
Elementary landscape decomposition of the 0-1 unconstrained quadratic optimization
Chicano-García, José-Francisco; Alba-Torres, Enrique (2014-10-01)
Landscapes’ theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of an especial kind of landscape called elementary landscape. The elementary landscape ... -
Elementary landscape decomposition of the frequency assignment problem
Chicano-García, José-Francisco; Whitley, L. Darrell; Alba-Torres, Enrique; Luna, Francisco (2014-09-30)
The Frequency Assignment Problem (FAP) is an important problem that arises in the design of radio networks, when a channel has to be assigned to each transceiver of the network. This problem is a generalization of the graph ... -
Embryomorphic Engineering: Emergent innovation through evolutionary development
(2014-01-07)Embryomorphic Engineering, a particular instance of Morpho-genetic Engineering, takes its inspiration directly from biological development to create new hardware, software or network architectures by decentralized ... -
Emergent diversity in an open-ended evolving virtual community
Fernández-Rodríguez, Jose David; Lobo Fernández, Daniel; Martín Reyes, Gema María; Doursat, René; Vico-Vela, Francisco José (MIT Press, 2012)
Understanding the dynamics of biodiversity has become an important line of research in theoretical ecology and, in particular, conservation biology. However, studying the evolution of ecological communities under ... -
Empirical analysis of the tool support for software product lines
Horcas-Aguilera, José Miguel; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (Springer, 2022-06-08)
For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. ... -
Energy-efficient reprogramming in wsn using constructive neural networks.
Urda, Daniel; Cañete, Eduardo; Subirats Contreras, José Luis; Franco, Leónardo; Llopis-Torres, Luis Manuel; Jerez-Aragonés, José Manuel[et al.] (International Journal of Innovative Computing, Information and Control, 2012-11)
In this paper, we propose the use of neural based technologies to carry out the dynamic reprogramming of wireless sensor networks as an alternative to traditional methodology. An analysis an comparison of the energy cost ... -
Ensemble ellipse fitting by spatial median consensus
Thurnhofer Hemsi, Karl; López-Rubio, Ezequiel; Blázquez-Parra, Elidia Beatriz; Ladrón-de-Guevara-Muñoz, María del Carmen; De-Cózar-Macías, Óscar (2021)
Ellipses are among the most frequently used geometric models in visual pattern recognition and digital image analysis. This work aims to combine the outputs of an ensemble of ellipse fitting methods, so that the deleterious ... -
Ensemble methods for meningitis aetiology diagnosis
Guzmán-de-los-Riscos, Eduardo Francisco; Belmonte-Martínez, María Victoria; Lélis Carvalho, Viviane Marie (Wiley, 2022-03-18)
In this work, we explore data-driven techniques for the fast and early diagnosis concerning the etiological origin of meningitis, more specifically with regard to differentiating between viral and bacterial meningitis. We ... -
Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset
Nematzadeh, Hossein; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (Elsevier, 2023)
Explainable Artificial Intelligence (XAI) makes AI understandable to the human user particularly when the model is complex and opaque. Local Interpretable Model-agnostic Explanations (LIME) has an image explainer package ... -
Estimación del estado de salud de la batería de iones de litio basada en características con redes neuronales artificiales
Driscoll, Lewis; De-la-Torre-Fazio, Sebastián Bienvenido; Gómez-Ruiz, José Antonio (Elsevier, 2022-06)
Precise online lithium-ion battery state of health estimation is critical for the correct operation and management of battery-based energy storage systems such as microgrids and electric vehicles. However, in such applications ... -
Estimating Software Testing Complexity
Ferrer-Urbano, Francisco Javier; Chicano-García, José-Francisco; Alba-Torres, Enrique (Science Direct, 2013-07-29)
Context: Complexity measures provide us some information about software artifacts. A measure of the difficulty of testing a piece of code could be very useful to take control about the test phase. Objective: The aim in ... -
Evolution of form and function in a model of differentiated multicellular organisms with gene regulatory networks
Lobo Fernández, Daniel; Vico-Vela, Francisco José (Elsevier, 2010)
The emergence of novelties, as a generator of diversity, in the form and function of the organisms have long puzzled biologists. The study of the developmental process and the anatomical properties of an organism provides ... -
Evolutionary algorithms for the multi-objective test data generation problem
Automatic test data generation is a very popular domain in the field of search-based software engineering. Traditionally, the main goal has been to maximize coverage. However, other objectives can be defined, such as the ... -
Evolutionary development of tensegrity structures
Lobo Fernández, Daniel; Vico-Vela, Francisco José (Elsevier, 2010)
Contributions from the emerging fields of molecular genetics and evo-devo (evolutionary developmental biology) are greatly benefiting the field of evolutionary computation, initiating a promise of renewal in the traditional ... -
Evolutionary multi-objective optimization algorithms for fuzzy portfolio selection
(2015)In this paper, we consider a recently proposed model for portfolio selection, called Mean-Downside Risk-Skewness (MDRS) model. This modelling approach takes into account both the multidimensional nature of the portfolio ...