Listar LCC - Artículos por título
Mostrando ítems 156-175 de 240
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Observations in using parallel and sequential evolutionary algorithms for automatic software testing
Alba-Torres, Enrique
; Chicano-García, José-Francisco (2014-10-01)
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatically creating a set of input data to test a ... -
OCPP in the spotlight: threats and countermeasures for electric vehicle charging infrastructures 4.0
Alcaraz, Cristina; Cumplido, Jesús; Triviño-Cabrera, Alicia (Springer, 2023)
Undoubtedly, Industry 4.0 in the energy sector improves the conditions for automation, generation and distribution of energy, increasing the rate of electric vehicle manufacturing in recent years. As a result, more ... -
On blockchain and its integration with IoT. Challenges and opportunities
Reyna, Ana; Martín-Fernández, Cristian; Chen, Jaime; Soler-Castillo, Enrique; Díaz-Rodríguez, Manuel (Elsevier, 2018-05)
In the Internet of Things (IoT) vision, conventional devices become smart and autonomous. This vision is turning into a reality thanks to advances in technology, but there are still challenges to address, particularly in ... -
On competitive balance in the group stage of the UEFA Champions League
Triguero-Ruiz, Francisco Andrés; Ávila-Cano, Antonio Jesús (Wiley, 2022-09-01)
This article examines competitive balance in the group stage of the UEFA Champions League over the last two decades (1999/2000–2017/2018). Competitive balance is considered both before and after a competition. Have the ... -
On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML
Cámara-Moreno, Javier; Troya-Castilla, Javier; Burgueño-Caballero, Lola; Vallecillo-Moreno, Antonio Jesús (Springer, 2023)
Most experts agree that large language models (LLMs), such as those used by Copilot and ChatGPT, are expected to revo- lutionize the way in which software is developed. Many papers are currently devoted to analyzing the ... -
On the automatic design of multi‑objective particle swarm optimizers: experimentation and analysis.
Nebro-Urbaneja, Antonio Jesús; López-Ibáñez, Manuel; García-Nieto, José Manuel; Coello Coello, Carlos A. (Springer Nature, 2023-10-09)
Research in multi-objective particle swarm optimizers (MOPSOs) progresses by proposing one new MOPSO at a time. In spite of the commonalities among different MOPSOs, it is often unclear which algorithmic components are ... -
On the performance of SQL scalable systems on Kubernetes: a comparative study
Cardas Ezeiza, Cristian; Aldana Martín, José Francisco; Burgueño Romero, Antonio Manuel; Nebro-Urbaneja, Antonio Jesús; Mateos, Jose M.; Sánchez-Martínez, Juan José[et al.] (2022-09-09)
The popularization of Hadoop as the the-facto standard platform for data analytics in the context of Big Data applications has led to the upsurge of SQL-on-Hadoop systems, which provide scalable query execution engines ... -
On the use of the Lp distance in reference point-based approaches for multiobjective optimization
(Springer, 2015)Reference point-based methods are very useful techniques for solving multiobjective optimization problems. In these methods, the most commonly used achievement scalarizing functions are based on the Tchebychev distance ... -
Online adaptive decision trees based on concentration inequalities.
Frías-Blanco, Isvani; Del-Campo-Ávila, José; Ramos-Jiménez, Gonzalo Pascual; Carvalho, Andre C.P.L.F.; Ortiz-Díaz, Agustín; Morales-Bueno, Rafael[et al.] (Elsevier, 2016-04-21)
Classification trees are a powerful tool for mining non-stationary data streams. In these situations, mas sive data are constantly generated at high speed and the underlying target function can change over time. The iadem ... -
Online and Non-Parametric Drift Detection Methods Based on Hoeffding’s Bounds
Frías-Blanco, Isvani; Del-Campo-Ávila, José; Ramos-Jiménez, Gonzalo Pascual; Morales-Bueno, Rafael; Ortiz-Díaz, Agustín; Caballero-Mota, Yailé[et al.] (IEEE, 2015-03-01)
Incremental and online learning algorithms are more relevant in the data mining context because of the increasing necessity to process data streams. In this context, the target function may change over time, an inherent ... -
Online learning and continuous model upgrading with data streams through the Kafka-ML framework
Carnero Hijano, Alejandro; Martín-Fernández, Cristian; Jeon, Gwanggil; Díaz-Rodríguez, Manuel (Elsevier, 2024)
A pipeline of constant data streams is being built by the Internet of Things (IoT) to monitor information about the physical environment. In parallel, Artificial Intelligence (AI) is constantly developing and enhancing ... -
Ontology-driven automated reasoning about property crimes
Navarrete, Francisco; Garrido, Ángel L.; Bobed, Carlos; Atencia-Arcas, Manuel; Vallecillo-Moreno, Antonio Jesús (Springer, 2024)
The classification of police reports according to the typification of the criminal act described in them is not an easy task. The reports are written in natural language and often present missing, imprecise, or even ... -
Padé numerical schemes for the sine–Gordon equation
Martín-Vergara, Francisca; Villatoro-Machuca, Francisco Román; Rus Mansilla, Francisco (Elsevier, 2019)
The sine-Gordon equation turn up in several problems in science and engineering. Although it is integrable, in practical applications, its numerical solution is powerful and versatile. Four novel implicit finite difference ... -
Padé numerical schemes with Richardson extrapolation for the sine–Gordon equation
Martín-Vergara, Francisca; Rus-Mansilla, Francisco de Asís; Villatoro-Machuca, Francisco Román (Elsevier, 2020)
Four novel implicit finite difference methods with ( q + s ) -th order in space based on ( q, s )-Padé approximations have been analyzed and developed for the sine-Gordon equation. Specifically, (4,0)-, (2,2)-, (4,2)-, and ... -
Panorama Construction for PTZ Camera Surveillance with the Neural Gas network
Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Luque-Baena, Rafael Marcos; Molina-Cabello, Miguel Ángel (Wiley, 2018-04)
The construction of a model of the background of a scene still remains as a challenging task in video surveillance systems, in particular for moving cameras. This work presents a novel approach for constructing a panoramic ... -
Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets
Nematzadeh, Hossein; García-Nieto, José Manuel; Aldana-Montes, José Francisco; Navas-Delgado, Ismael (Elsevier, 2024-02-17)
Feature selection has a prominent role in high-dimensional datasets to increase classification accuracy, decrease the learning algorithm computational time, and present the most informative features to decision-makers. ... -
Performance analysis of the Multi‑connection Tactile Internet Protocol over 5G
(Springer Nature, 2023)Tactile Internet is an Internet network that combines ultra-low latency with extremely high availability and reliability. Since traditional protocols, such as UDP and TCP, cannot support this operation, other transport ... -
Pollen recognition through an open-source web-based system: automated particle counting for aerobiological analysis
Chaves García, Antonio Jesús; Martín-Fernández, Cristian; Llopis-Torres, Luis Manuel; Díaz-Rodríguez, Manuel; Ruiz-Mata, Rocío; Gálvez-Montañez, Enrique de; Recio-Criado, María Marta; Trigo-Pérez, María del Mar; Picornell Rodríguez, Antonio[et al.] (Springer Nature, 2023-12-20)
Airborne pollen is produced by plants for their sexual reproduction and can have negative impacts on public health. The current monitoring systems are based on manual sampling processes which are tedious and time-consuming. ...