Listar ITIS - Artículos por título
Mostrando ítems 21-40 de 147
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Automatic tuning of communication protocols for vehicular ad hoc networks using metaheuristics.
Toutouh-el-Alamin, Jamal
; García-Nieto, José Manuel; Alba-Torres, Enrique (Elsevier, 2010-08)
The emerging field of vehicular ad hoc networks (VANETs) deals with a set of communicating vehicles which are able to spontaneously interconnect without any pre-existing infrastructure. In such kind of networks, it is ... -
Automatizing Software Cognitive Complexity Reduction
Saborido Infantes, Rubén; Ferrer-Urbano, Francisco Javier; Chicano-García, José-Francisco; Alba-Torres, Enrique (IEEE Access, 2022-01-20)
We model the cognitive complexity reduction of a method as an optimization problem where the search space contains all sequences of Extract Method refactoring opportunities. We then propose a novel approach that searches ... -
AVISPA in the Validation of Ambient Intelligence Scenarios.
Muñoz-Gallego, Antonio Jesús; Maña-Gómez, Antonio; Serrano, Daniel (IEEE, 2009)
El artículo presenta una investigación centrada en la validación de escenarios de inteligencia ambiental (AmI) utilizando AVISPA, una herramienta de modelado y verificación automática de protocolos de seguridad. Los entornos ... -
BIGOWL4DQ: ontology-driven approach for Big Data quality meta-modelling, selection and reasoning
Barba-González, Cristóbal; Caballero, Ismael; Varela-Vaca, Ángel Jesús; Cruz-Lemus, José A.; Gómez López, María Teresa; Navas-Delgado, Ismael[et al.] (Elsevier, 2023-11-27)
Context: Data quality should be at the core of many Artificial Intelligence initiatives from the very first moment in which data is required for a successful analysis. Measurement and evaluation of the level of quality ... -
BIGOWL: Knowledge centered Big Data analytics
Barba-González, Cristóbal; García-Nieto, José Manuel; Roldán-García, María del Mar; Navas-Delgado, Ismael; Nebro-Urbaneja, Antonio Jesús; Aldana-Montes, José Francisco[et al.] (Elsevier, 2018-08-23)
Knowledge extraction and incorporation is currently considered to be beneficial for efficient Big Data analytics. Knowledge can take part in workflow design, constraint definition, parameter selection and configuration, ... -
BiPred: A Bilevel Evolutionary Algorithm for Prediction in Smart Mobility.
Toutouh-el-Alamin, Jamal; Arellano-Verdejo, Javier; Alba-Torres, Enrique (MDPI, 2018-11-24)
This article develops the design, installation, exploitation, and final utilization of intelligent techniques, hardware, and software for understanding mobility in a modern city. We focus on a smart-campus initiative in ... -
Blockchain-Assisted Access for Federated Smart Grid Domains: Coupling and Features
Alcaraz-Tello, María Cristina; Rubio Cortés, Juan Enrique; López-Muñoz, Francisco Javier (Elsevier, 2020-10)
Industry 4.0 technological expansion and the multiple accesses to the diverse Smart Grid domains (power networks, control systems, market, customer premises) entail the need to provide efficient interconnection mechanisms ... -
Business processes resource management using rewriting logic and deep-learning-based predictive monitoring
Durán-Muñoz, Francisco Javier; Pozas, Nicolás; Rocha, Camilo (Elsevier, 2024)
A significant task in business process optimization is concerned with streamlining the allocation and sharing of resources. This paper presents an approach for analyzing business process provisioning under a resource ... -
CADICA: A new dataset for coronary artery disease detectionby using invasive coronary angiograph
Jiménez-Partinen, Ariadna; Molina-Cabello, Miguel Ángel; Thurnhofer-Hemsi, Karl; Palomo-Ferrer, Esteban José; Rodríguez Capitán, Jorge; Molina Ramos, Ana Isabel; Jiménez-Navarro, Manuel Francisco[et al.] (Wiley, 2024)
Coronary artery disease (CAD) remains the leading cause of death globally and invasive coronary angiography (ICA) is considered the gold standard of anatomical imaging evaluation when CAD is suspected. However, risk ... -
Car restriction policies for better urban health: a low emission zone in Madrid, Spain.
Lebrusán, Irene; Toutouh-el-Alamin, Jamal (Springer Nature, 2020-09-20)
The design of most cities prioritizes the use of motorized vehicles, having a negative effect on urban health. A major concern in the European Union (EU) is air pollution, especially nitrogen dioxide (NO2), which causes ... -
Clinical Considerations Derived From the Administration of Melatonin to Children With Sleep Disorders
Checa-Ros, Ana; Muñoz-Gallego, Antonio Jesús; Muñoz-Gallego, María de los Ángeles; Molina-Carballo, Antonio; Narbona-Galdó, Susana; Jerez-Calero, Antonio; Augustín-Morales, María del Carmen; Muñoz-Hoyos, Antonio[et al.] (Elsevier, 2019)
El artículo analiza el uso de la melatonina en el tratamiento de trastornos del sueño en niños. A pesar de la abundante investigación sobre la melatonina, aún existen preguntas sin resolver sobre sus patrones de secreción ... -
Combining multiple granularity variability in a software product line approach for web engineering
Horcas-Aguilera, José Miguel; Cortiñas, Alejandro; Fuentes-Fernández, Lidia; Luaces, Miguel R. (Elsevier, 2022-08)
Web engineering involves managing a high diversity of artifacts implemented in different languages and with different levels of granularity. Technological companies usually implement variable artifacts of Software Product ... -
Continuous QoS-compliant Orchestration in the Cloud-Edge Continuum.
Bisicchia, Giuseppe; Forti, Stefano; Pimentel-Sánchez, Ernesto; Brogi, Antonio (Wiley, 2024)
The problem of managing multi-service applications on top of Cloud-Edge networks in a quality of service (QoS)-aware manner has been thoroughly studied in recent years from a decision-making perspective. However, only a ... -
Covert Channels-based Stealth Attacks in Industry 4.0
Alcaraz-Tello, María Cristina; Bernieri, Giuseppe; Pascucci, Federica; Lopez, Javier; Setola, Roberto (IEEE Xplore, 2019-05-15)
Industry 4.0 advent opens several cyber-threats scenarios originally designed for classic information technology, drawing the attention to serious risks for the modern industrial control networks. To cope with this problem, ... -
DAR-LFC: A data-driven attack recovery mechanism for Load Frequency Control
Syrmakesis, Andrew D.; Alcaraz-Tello, María Cristina; Hatziargyriou, Nikos D. (Elsevier, 2024-07)
In power systems, generation must be maintained in constant equilibrium with consumption. A key indicator for this balance is the frequency of the power grid. The load frequency control (LFC) system is responsible for ... -
Data visualization guidance using a software product line approach.
Romero-Organvidez, David; Horcas-Aguilera, José Miguel; Galindo, José A.; Benavides, David (Elsevier, 2024)
Data visualization aims to convey quantitative and qualitative information effectively by determining which techniques and visualizations are most appropriate for different situations and why. Various software solutions ... -
Dealing with Belief Uncertainty in Domain Models
Burgueño-Caballero, Lola; Muñoz, Paula; Clarisó, Robert; Cabot, Jordi; Gérard, Sébastien; Vallecillo-Moreno, Antonio Jesús[et al.] (ACM, 2023)
There are numerous domains in which information systems need to deal with uncertain information. These uncertainties may originate from different reasons such as vagueness, imprecision, incompleteness, or inconsistencies, ... -
Deep Memetic Models for Combinatorial Optimization Problems: Application to the Tool Switching Problem
Amaya, Jhon Edgar; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José; García Sánchez, Pablo (Springer, 2020)
Memetic algorithms are techniques that orchestrate the interplay between population-based and trajectory-based algorithmic components. In particular, some memetic models can be regarded under this broad interpretation as ... -
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 ... -
Developers’Need forthe Rationale of CodeCommits: An In-breadth andIn-depth Study
Al Safwan, Khadijah; Elarnaoty, Mohammed; Servant-Cortés, Francisco Javier (Elsevier, 2022)
Communicating the rationale behind decisions is essential for the success of software engineering projects. In particular, understanding the rationale of code commits is an important and often difficult task. Although the ...