Listar LCC - Artículos por título
Mostrando ítems 191-210 de 212
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The Benefits of Blockchain Technology for Medical Tourism
Tyan, Inessa; Guevara-Plaza, Antonio
; Yague-Valle, María Inmaculada (MDPI, 2021-11)
The paper discusses the benefits of blockchain technology for medical tourism. The major focus is placed on pre-procedure and post-procedure of medical tourism. The authors argue that blockchain technology can facilitate ... -
The competitive balance of UEFA and CONMEBOL football leagues: on managing the number of teams in league design
Triguero-Ruiz, Francisco Andrés; Ávila-Cano, Antonio Jesús (Wiley, 2024-01-07)
This article augments the literature on the analysis of competitive balance, encompassing its measurement, comparisons across leagues and seasons, and ramifications for league management. Central to our examination is the ... -
The component model for elementary landscapes and partial neighborhoods
Whitley, L. Darrell; Sutton, Andrew M.; Ochoa, Gabriela; Chicano-García, José-Francisco (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 effect of downsampling-upsampling strategy on foreground detection algorithms
Molina-Cabello, Miguel Ángel; García-González, Jorge; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel (Springer Nature, 2020)
In video surveillance systems which incorporate stationary cameras, the first phase of movement object detection is crucial for the correct modelling of the behavior of these objects, as well as being the most complex in ... -
The forbidden region self-organizing map neural network
Self-organizing maps are aimed to learn a representation of the input distribution which faithfully describes the topological relations among the clusters of the distribution. For some datasets and applications, it is known ... -
The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments: A Search and Rescue Case Study
Bravo-Arrabal, Juan; Toscano-Moreno, Manuel; Fernández-Lozano, Juan Jesús; Mandow, Anthony; Gómez-Ruiz, José Antonio; García-Cerezo, Alfonso José[et al.] (MPDI, 2021)
Cloud robotics exploits the Internet of things (IoT) for the convergence of shared infrastructure and services for robotics, ranging from using computational resources in the cloud (infrastructure as a service, IaaS) to ... -
The software project scheduling problem: A scalability analysis of multi-objective metaheuristics
Luna, Francisco; González-Álvarez, David L.; Chicano-García, José-Francisco; 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, Marlon (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 ... -
Time series features and fuzzy memberships combination for time series classification
(Elsevier, 2024)Time series classification is an increasingly attractive field with the appearance of new problems in an expanding digitalized world. Most of the proposals in the state-of-the-art have focused just on improving the results’ ... -
Toward a Framework for Cost-Effective and Publicly Verifiable Confidential Computations in Blockchain
Morales, Daniel; Agudo-Ruiz, Isaac; López-Muñoz, Francisco Javier (IEEE Xplore, 2024)
Blockchain technologies have introduced a compelling paradigm for a new understanding of security through decentralized networks and consensus mechanisms. However, they need all data to be public, which may be unacceptable ... -
Towards an ontology-driven clinical experience sharing ecosystem: demonstration with liver cases
Roldán-García, María del Mar; Uskudarli, Suzan; Marvasti, Neda B.; Acar, Burak; Aldana-Montes, José Francisco (ELSEVIER, 2018)
Past medical cases, hence clinical experience, are invaluable resources in supporting clinical practice, research, and education. Medical professionals need to be able to exchange information about patient cases and explore ... -
Trust interoperability in the Internet of Things
Fernández-Gago, María del Carmen; Ferraris, Davide; Román-Castro, Rodrigo; López-Muñoz, Francisco Javier (Elsevier, 2024)
The Internet of Things (IoT) is a paradigm where entities or things are interconnected, often in heterogeneous contexts. As the interconnection happens, things establish collaborations with others, sometimes under uncertainty. ... -
TrUStAPIS: a trust requirements elicitation method for IoT
Ferraris, Davide; Fernández-Gago, María del Carmen (Springer Link, 2020-02-01)
The internet of things (IoT) is an environment of interconnected entities, which are identifiable, usable and controllable via the Internet. Trust is useful for a system such as the IoT as the entities involved would like ... -
URSUS_UHI: URban SUStainability software for detection of unfavourable areas due to the Urban Heat Island effect
Rodríguez-Gómez, Francisco; Del-Campo-Ávila, José; López-Rodríguez, Domingo; Pérez-Urrestarazu, Luis (Elsevier, 2025)
Identifying the most unfavourable areas of cities, in terms of high temperatures and lack of vegetation, can help to improve urban sustainability and combat climate change. URSUS_UHI is a software that could help make ... -
Using Bayesian networks to improve knowledge assessment
Millán-Valldeperas, Eva; 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 ... -
Using machine learning techniques for architectural design tracking: an experimental study of the design of a shelter.
Millán-Valldeperas, Eva; Belmonte-Martínez, María Victoria; Boned-Purkiss, Francisco Javier; Gavilanes-Velaz-de-Medrano, Juan; Pérez-de-la-Cruz-Molina, José Luis; Díaz-López, Carmen[et al.] (Elsevier, 2022-02-17)
In this paper, we present a study aimed at tracking and analysing the design process. More concretely, we intend to explore whether some elements of the conceptual design stage in architecture might have an influence on ... -
Using SPL to Develop AAL Systems Based on Self-adaptive Agents
Amor-Pinilla, María Mercedes; Ayala-Viñas, Inmaculada; Fuentes-Fernández, Lidia (Springer, 2016-06)
Abstract One of the most important challenges of this decade is the Internet of Things (IoT) that pursues the integration of real-world objects in Internet. One of the key areas of the IoT is the Ambient Assisted Living ... -
Variability models for generating efficient configurations of functional quality attributes.
Horcas-Aguilera, José Miguel; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (Elsevier, 2018-03)
Segunda contribución principal de la tesis de José Miguel Horcas. En este artículo se extiende el proceso de ingeniería de la línea de productos software (SPL) de los atributos de calidad funcionales (FQA) para considerar ... -
Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images
Molina-Cabello, Miguel Ángel; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel; Thurnhofer-Hemsi, Karl (IOS Press, 2018)
The automatic detection and classification of vehicles in traffic sequences is a typical task which is carried out in many practical video surveillance systems. The advent of deep learning has facilitated the design of ... -
Vida artificial: en la encrucijada
(Universidad de Málaga, 2014-06-13)En las últimas décadas, la línea divisoria entre la Biología y las Ciencias de la Computación se ha ido difuminando paulatinamente. Por un lado, una gran cantidad de métodos computacionales (colectivamente conocidos como ...