Listar ITIS - Artículos por título
Mostrando ítems 33-52 de 144
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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 ... -
Digital Twin: A Comprehensive Survey of Security Threats
Alcaraz-Tello, María Cristina; López-Muñoz, Francisco Javier (IEEE, 2022-04-29)
Industry 4.0 is having an increasingly positive impact on the value chain by modernizing and optimizing the production and distribution processes. In this streamline, the digital twin (DT) is one of the most cutting-edge ... -
Digital Twins for Intelligent Authorization in the B5G-enabled Smart Grid
López-Muñoz, Francisco Javier; Rubio Cortés, Juan Enrique; Alcaraz-Tello, María Cristina (IEEE Xplore, 2021-05-14)
Beyond fifth-generation (B5G) communication networks and computation paradigms in the edge are expected to be integrated into power grids infrastructures over the next years. In this sense, AI technologies will play a ... -
Distributed digital twins on the open-source OpenTwins framework
Infante, Sergio; Robles, Julia; Martín-Fernández, Cristian; Rubio-Muñoz, Bartolomé; Díaz-Rodríguez, Manuel (Elsevier, 2025-03)
With the continuous evolution of digital twins, the requirements of interconnection and interoperability have led to the creation of the term Distributed Digital Twin, where commonly, different components of the same digital ... -
Dynastic Potential Crossover Operator
An optimal recombination operator for two parent solutions provides the best solution among those that take the value for each variable from one of the parents (gene transmission property). If the solutions are bit strings, ... -
E-Science workflow: A semantic approach for airborne pollen prediction
Hurtado-Requena, Sandro José; Antequera-Gómez, María Luisa; Barba-González, Cristóbal; Picornell Rodríguez, Antonio; Navas-Delgado, Ismael (Elsevier, 2024-01)
Allergic rhinitis has become a global health problem in recent decades because airborne pollen is a primary trigger of this respiratory disorder. Moreover, pollinosis can exacerbate the symptoms of asthma and favour ... -
EARMO: An Energy-Aware Refactoring Approach for Mobile Apps
Morales, Rodrigo; Saborido Infantes, Rubén; Khomh, Foutse; Chicano-García, José-Francisco; Antoniol, Giuliano (IEEE, 2018)
The energy consumption of mobile apps is a trending topic and researchers are actively investigating the role of coding practices on energy consumption. Recent studies suggest that design choices can conflict with energy ... -
Effective anytime algorithm for multiobjective combinatorial optimization problems
Domínguez-Ríos, Miguel Ángel; Alba-Torres, Enrique; Chicano-García, José-Francisco; Alba-Torres, Enrique (Elsevier, 2021-07)
In multiobjective optimization, the result of an optimization algorithm is a set of efficient solutions from which the decision maker selects one. It is common that not all the efficient solutions can be computed in a short ... -
Efficient execution of ATL model transformations using static analysis and parallelism
Sánchez Cuadrado, Jesús; Burgueño-Caballero, Lola; Wimmer, Manuel; Vallecillo-Moreno, Antonio Jesús (2020)
Although model transformations are considered to be the heart and soul of Model Driven Engineering (MDE), there are still several challenges that need to be addressed to unleash their full potential in industrial settings. ... -
Empirical analysis of the tool support for software product lines
Horcas-Aguilera, José Miguel; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (Springer, 2022-06-08)
For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. ... -
Enabling DSRC and C-V2X Integrated Hybrid Vehicular Networks: Architecture and Protocol
Hameed Mir, Zeeshan; Toutouh-el-Alamin, Jamal; Filali, Fethi; Ko, Young-Bae (IEEE, 2020-10-05)
Emerging Vehicle-to-Everything (V2X) applications such as Advanced Driver Assistance Systems (ADAS) and Connected and Autonomous Driving (CAD) requires an excessive amount of data by vehicular sensors, collected, processed, ... -
Engineering software for next-generation networks in a sustainable way.
Fuentes-Fernández, Lidia (2024)
The virtualization and softwarization of network functions is the networking industry's latest achievement. Software-Defined Networks (SDN) and Network Function Virtualization (NFV) propose novel software architectures and ... -
Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset
Nematzadeh, Hossein; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (Elsevier, 2023)
Explainable Artificial Intelligence (XAI) makes AI understandable to the human user particularly when the model is complex and opaque. Local Interpretable Model-agnostic Explanations (LIME) has an image explainer package ... -
Evolver: Meta-optimizing multi-objective metaheuristics.
Aldana Martín, José Francisco; Durillo, Juan J.; Nebro-Urbaneja, Antonio Jesús (Elsevier, 2023-10-10)
Evolver is a tool based on the formulation of the automatic configuration and design of multi-objective metaheuristics as a multi-objective optimization problem that can be solved by using the same kind of algorithms; i.e., ... -
Exact and heuristic approaches for multi-objective garbage accumulation points location in real scenarios.
Rossit, Diego Gabriel; Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio (Elsevier, 2020-03-15)
Municipal solid waste management is a major challenge for nowadays urban societies, because it accounts for a large proportion of public budget and, when mishandled, it can lead to environmental and social problems. This ...