Listar LCC - Artículos por título
Mostrando ítems 145-164 de 231
-
New Perspectives on the Optimal Placement of Detectors for Suicide Bombers using Metaheuristics.
Cotta-Porras, Carlos
; Gallardo-Ruiz, José Enrique (Springer Nature, 2018)
We consider an operational model of suicide bombing attacks –an increasingly prevalent form of terrorism– against specific targets, and the use of protective countermeasures based on the deployment of detectors over the ... -
The NISPI framework: Analysing collaborative problem-solving from students' physical interactions
Cukurova, Mutlu; Luckin, Rose; Millán-Valldeperas, Eva; Mavrikis, Manolis (2019-10-21)
Collaborative problem-solving (CPS) is a fundamental skill for success in modern societies, and part of many common constructivist teaching approaches. However, its effective implementation and evaluation in both digital ... -
NORA: Scalable OWL reasoner based on NoSQL databasesand Apache Spark
Benítez-Hidalgo, Antonio; Navas-Delgado, Ismael; Roldán-García, María del Mar (Wiley, 2023-09-04)
Reasoning is the process of inferring new knowledge and identifying inconsis-tencies within ontologies. Traditional techniques often prove inadequate whenreasoning over large Knowledge Bases containing millions or billions ... -
Numerical adiabatic perturbation theory for the absolute equation
Garralon-López, Rubén; Rus-Mansilla, Francisco de Asís; Villatoro-Machuca, Francisco Román (Elsevier, 2024-03-28)
In physical applications, the absolute equation should be preferred to the widely used Rosenau–Hyman equation due to the robustness of its compactons and anticompactons interactions observed in numerical simulations with ... -
Numerical search for the stationary quasi-breather of the graphene superlattice equation.
Martín-Vergara, Francisca; Rus-Mansilla, Francisco de Asís; Villatoro-Machuca, Francisco Román (ELSEVIER, 2022-08-11)
The propagation of electromagnetic solitons in a graphene superlattice device is governed by a modified sine-Gordon equation, referred to as the graphene superlattice equation. Kink-antikink collisions suggest the existence ... -
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 ...