Listar ITIS - Artículos por título
Mostrando ítems 55-74 de 144
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Facing robustness as a multi-objective problem: A bi-objective shortest path problem in smart regions
Cintrano López, Christian; Chicano-García, José-Francisco
; Alba-Torres, Enrique (Elsevier, 2019-11)
The goal in Robust Optimization is to optimize not only the quality of the solutions but also the variation of this quality with the uncertain parameters of the optimization problem. We propose a robust model for the ... -
Fast and Accurate Incremental Feedback for Students’ Software Tests Using Selective Mutation Analysis.
Kazerouni, Ayaan M.; Davis, James C.; Basak, Arinjoy; Shaffer, Clifford A.; Servant-Cortés, Francisco Javier; Edwards, Stephen H.[et al.] (Elsevier, 2021)
As incorporating software testing into programming assignments becomes routine, educators have begun to assess not only the correctness of students’ software, but also the adequacy of their tests. In practice, educators ... -
Fast energy-aware OLSR routing in VANETs by means of a parallel evolutionary.
Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio; Alba-Torres, Enrique (2012-04-27)
This work tackles the problem of reducing the power consumption of the OLSR routing protocol in vehicular networks. Nowadays, energy-aware and green communication protocols are important research topics, specially when ... -
Fault localization in DSLTrans model transformations by combining symbolic execution and spectrum-based analysis
Oakes, Bentley James; Troya-Castilla, Javier; Galasso, Jessie; Wimmer, Manuel (Springer Nature, 2023-09-29)
The verification of model transformations is important for realizing robust model-driven engineering technologies and quality-assured automation. Many approaches for checking properties of model transformations have been ... -
Feature selection using a classification error impurity algorithm and an adaptive genetic algorithm improved with an external repository
Nematzadeh, Hossein; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (Elsevier, 2024)
Feature selection in small-sample high-dimensional datasets enhances classification accuracy and reduces computational time for model training. This paper introduces the filter Classification Error Impurity (CEI) as a ... -
FIMED: Flexible management of biomedical data
Hurtado-Requena, Sandro José; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (Elsevier, 2021-11)
Background and objectives: In the last decade, clinical trial management systems have become an essential support tool for data management and analysis in clinical research. However, these clinical tools have design ... -
FLEXTORY: Flexible Software Factory of IoT Data Consumers.
López Gómez, Rafael; Panizo-Jaime, Laura; Gallardo-Melgarejo, María del Mar (MDPI, 2024-04-16)
The success of the Internet of Things (IoT) has driven the development, among others, of many different software architectures for producing, processing, and analyzing heterogeneous data. In many cases, IoT applications ... -
FM fact label
Horcas-Aguilera, José Miguel; Galindo-Gómez, José; Fuentes-Fernández, Lidia; Benavides, David (Elsevier, 2024)
FM Fact Label is a tool for visualizing the characterizations of feature models based on their metadata, structural measures, and analytical metrics. Although there are various metrics available to characterize feature ... -
Functions as a service for distributed deep neural network inference over the cloud-to-things continuum
Bueno Calvente, Altair; Rubio-Muñoz, Bartolomé; Martín-Fernández, Cristian; Díaz-Rodríguez, Manuel (Wiley, 2024-02-11)
The use of serverless computing has been gaining popularity in recent years as an alternative to traditional Cloud computing. We explore the usability and potential development benefits of three popular open-source serverless ... -
GEML: A Grammar-based Evolutionary Machine Learning Approach for Design-Pattern Detection.
Barbudo Lunar, Rafael; Ramírez-Quesada, Aurora; Servant-Cortés, Francisco Javier; Romero-Salguero, José Raúl (Elsevier, 2021)
Design patterns (DPs) are recognised as a good practice in software development. However, the lack of appropriate documentation often hampers traceability, and their benefits are blurred among thousands of lines of code. ... -
GENECI: A novel evolutionary machine learning consensus-based approach for the inference of gene regulatory networks
Segura Ortiz, Adrián; García-Nieto, José Manuel; Aldana-Montes, José Francisco; Navas-Delgado, Ismael (Elsevier, 2023)
Gene regulatory networks define the interactions between DNA products and other substances in cells. Increasing knowledge of these networks improves the level of detail with which the processes that trigger different ... -
HybridCISave: A Combined Build and Test Selection Approach in Continuous Integration.
Jin, Xianhao; Servant-Cortés, Francisco Javier (Association for Computing Machinery (ACM), 2023-05-26)
Continuous integration (CI) is a popular practice in modern software engineering. Unfortunately, it is also a high-cost practice — Google and Mozilla estimate their CI systems in millions of dollars. To reduce the computational ... -
Hybridization of Evolutionary Operators with Elitist Iterated Racing for the Simulation Optimization of Traffic Lights Programs.
Cintrano López, Christian; Ferrer-Urbano, Francisco Javier; López-Ibáñez, Manuel; Alba-Torres, Enrique (MIT Press Direct, 2023-03)
In the traffic light scheduling problem, the evaluation of candidate solutions requires the simulation of a process under various (traffic) scenarios. Thus, good solutions should not only achieve good objective function ... -
Improving query performance on dynamic graphs
Barquero Moreno, Gala; Troya-Castilla, Javier; Vallecillo-Moreno, Antonio Jesús (Springer, 2020-11-20)
Querying large models efficiently often imposes high demands on system resources such as memory, processing time, disk access or network latency. The situation becomes more complicated when data are highly interconnected, ... -
Incorporating Measurement Uncertainty into OCL/UML Primitive Datatypes
Fernández-Bertoa, Manuel; Burgueño-Caballero, Lola; Moreno, Nathalie; Vallecillo-Moreno, Antonio Jesús (2020-06-01)
The correct representation of the relevant properties of a system is an essential requirement for the effective use and wide adoption of model-based practices in industry. Uncertainty is one of the inherent properties of ... -
Infrastructure Deployment in Vehicular Communication Networks Using a Parallel Multiobjective Evolutionary Algorithm.
Massobrio, Renzo; Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio; Alba-Torres, Enrique (Wiley, 2017-03-07)
This article describes the application of a multiobjective evolutionary algorithm for locating roadside infrastructure for vehicular communication networks over realistic urban areas. A multiobjective formulation of the ... -
Injecting domain knowledge in multi-objective optimization problems: A semantic approach.
Barba-González, Cristóbal; Nebro-Urbaneja, Antonio Jesús; García-Nieto, José Manuel; Roldán-García, María del Mar; Navas-Delgado, Ismael; Aldana-Montes, José Francisco[et al.] (Elsevier, 2021-05-15)
In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, ... -
Integrating Citizens’ Avatars in Urban Digital Twins.
García-Luque, Rafael; Toro-Gálvez, Lorenzo; Moreno, Nathalie; Troya-Castilla, Javier; Canal-Velasco, José Carlos; Pimentel-Sánchez, Ernesto[et al.] (River Publishers, 2023-12-23)
Urban Digital Twins (UDT) represent a powerful tool to effectively make cities smart. Generally, UDTs are linked with other Digital Twins to build ecosystems where the citizen is at the heart of the ecosystem. This is why ... -
Integrating FMI and ML/AI models on the open-sourcedigital twin framework OpenTwins
Infante, Sergio; Martín-Fernández, Cristian; Robles, Julia; Rubio-Muñoz, Bartolomé; Díaz-Rodríguez, Manuel; González Perea, Rafael; Montesinos, Pilar; Camacho Poyato, Emilio[et al.] (Wiley, 2024-03-24)
The realm of digital twins is experiencing rapid growth and presents a wealth ofopportunities for Industry 4.0. In conjunction with traditional simulation meth-ods, digital twins offer a diverse range of possibilities. ...