Listar LCC - Artículos por título
Mostrando ítems 67-86 de 237
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Data driven tools to assess the location of photovoltaic facilities in urban areas
Rodríguez-Gómez, Francisco; Del-Campo-Ávila, José
; Ferrer Cuesta, Marta; Mora-López, Llanos (Elsevier, 2022-10-01)
Urban sustainability is a significant factor in combating climate change. Replacing polluting by renewable energies is fundamental to reduce the emission of greenhouse gases. Photovoltaic (PV) facilities harnessing solar ... -
Data mining process to detect suicidal behaviour in out-of-hospital emergency departments
Del-Campo-Ávila, José; Ramos Martín, Javier; Gómez-Sánchez-Lafuente, Carlos; García-Pedrosa, Johanna; García-Martín, Saúl; Martínez-García, Ana I.; Guzmán-Parra, José; Morales-Bueno, Rafael; Moreno-Kustner, Berta[et al.] (Elsevier, 2024-07-13)
Out-of-hospital emergency departments receive multiple types of requests daily. Their management requires a balance to be found between available resources and the actual needs of the requesting party. Those regarding ... -
Deep Learning-Based Attack Detection and Classification in Android Devices.
Gómez Alfonso, Bernardo; Muñoz-Gallego, Antonio Jesús (MDPI, 2023-07-28)
The increasing proliferation of Androidbased devices, which currently dominate the market with a staggering 72% global market share, has made them a prime target for attackers. Consequently, the detection of Android ... -
Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting
Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Luque-Baena, Rafael Marcos; Roé-Vellvé, Núria (Elsevier, 2020-07-20)
The image acquisition process in the field of magnetic resonance imaging (MRI) does not always provide high resolution results that may be useful for a clinical analysis. Super-resolution (SR) techniques manage to increase ... -
Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras
Benito-Picazo, Jesús; Domínguez-Merino, Enrique; Palomo-Ferrer, Esteban José; López-Rubio, Ezequiel (IOS Press, 2020)
The design of automated video surveillance systems often involves the detection of agents which exhibit anomalous or dangerous behavior in the scene under analysis. Models aimed to enhance the video pattern recognition ... -
Designing problem-specific operators for solving the Cell Switch-Off problem in ultra-dense 5G networks with hybrid MOEAs
Galeano-Brajones, Jesús; Luna-Valero, Francisco; Carmona Murillo, Javier; Zapata Cano, Pablo Helio; Valenzuela-Valdés, Juan Francisco (Elsevier, 2023)
The massive deployment of base stations is one of the key pillars of the fifth generation (5G) of mobile communications. However, this network densification entails high energy consumption that must be addressed to enhance ... -
Detecting feature influences to quality attributes in large and partially measured spaces using smart sampling and dynamic learning
Muñoz-Guerra, Daniel Jesús; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (Elsevier, 2023)
Emergent application domains (e.g., Edge Computing/Cloud/B5G systems) are complex to be built manually. They are characterised by high variability and are modelled by large Variability Models (VMs), leading to large ... -
Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size
García Aguilar, Iván; García-González, Jorge; Medina, Daniel; Luque-Baena, Rafael Marcos; Domínguez-Merino, Enrique; López-Rubio, Ezequiel[et al.] (Elsevier, 2023-11-17)
Autonomous driving requires information such as the velocity of other vehicles to prevent potential hazards. This work proposes a real-time deep learning-based framework to estimate vehicle speeds from image captures through ... -
Determining drivers of private equity return with computational approaches
(Springer, 2024)Private equity (PE) represents the acquisition of stakes in non-listed companies, often long-term, with the objective of improving the performance and value of the company to obtain significant benefits at time of ... -
Development and Implementation of a Hybrid Wireless Sensor Network of Low Power and Long Range for Urban Environments
Bravo-Arrabal, Juan; Fernández-Lozano, Juan Jesús; Serón-Barba, Javier; Gómez-Ruiz, José Antonio; García-Cerezo, Alfonso José (MDPI, 2021)
The urban population, worldwide, is growing exponentially and with it the demand for information on pollution levels, vehicle traffic, or available parking, giving rise to citizens connected to their environment. This ... -
Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices
Morell Martínez, José Ángel; Alba-Torres, Enrique (Elsevier, 2022)
The number of devices, from smartphones to IoT hardware, interconnected via the Internet is growing all the time. These devices produce a large amount of data that cannot be analyzed in any data center or stored in the ... -
Dynamic learning rates for continual unsupervised learning.
Fernández-Rodríguez, Jose David; Palomo-Ferrer, Esteban José; Ortiz-de-Lazcano-Lobato, Juan Miguel; Ramos-Jiménez, Gonzalo Pascual; López-Rubio, Ezequiel (IOS Press, 2023)
The dilemma between stability and plasticity is crucial in machine learning, especially when non-stationary input distributions are considered. This issue can be addressed by continual learning in order to alleviate ... -
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 ...