Listar ITIS - Artículos por título
Mostrando ítems 92-111 de 144
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On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML
(SpringerLink, 2023-05-23) -
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 ... -
OneSpace: Detecting cross-language clones by learning a common embedding space
Elarnaoty, Mohammed; Servant-Cortés, Francisco Javier (Elsevier, 2024)
Identifying clone code fragments across different languages can enhance the productivity of software developers in several ways. However, the clone detection task is often studied in the context of a single language and ... -
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 ... -
Optimizing Hearthstone Agents using an Evolutionary Algorithm.
García Sánchez, Pablo; Tonda, Alberto; Fernández-Leiva, Antonio José; Cotta-Porras, Carlos (Elsevier, 2020)
Digital collectible card games are not only a growing part of the video game industry, but also an interesting research area for the field of computational intelligence. This game genre allows researchers to deal with ... -
Parallel multi-objective metaheuristics for smart communications in vehicular networks.
Toutouh-el-Alamin, Jamal; Alba-Torres, Enrique (Springer Nature, 2015)
This article analyzes the use of two parallel multi-objective soft computing algorithms to automatically search for high-quality settings of the Ad hoc On Demand Vector routing protocol for vehicular networks. These methods ... -
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. ... -
Polyglot software development: wait, what?
Mussbacher, Gunter; Combemale, Benoit; Kienzle, Jörg; Burgueño-Caballero, Lola; Garcia-Dominguez, Antonio; Jézéquel, Jean-Marc; Jouneaux, Gwendal; Khelladi, Djamel-Eddine; Mosser, Sébastien; Pulgar, Corinne; Sahraoui, Houari; Schiedermeier, Maximilian; Storm, Tijs van der[et al.] (IEEE, 2024)
We propose a concise and unambiguous definition of polyglot software development with a conceptual model and characterize the techniques used for the specification and operationalization of polyglot software development ... -
Portable motorized telescope system for wind turbine blades damage detection
Carnero, Alejandro; Martín-Fernández, Cristian; Díaz-Rodríguez, Manuel (Wiley, 2023)
Wind turbines are among the fastest-growing sources of energy production and the maintenance operations include regular inspection of their blades, causing considerable downtime and cost. In addition, the manual inspection ... -
Preference-Based Evolutionary Multiobjective Optimization Through the Use of Reservation and Aspiration Points
González-Gallardo, Sandra; Saborido Infantes, Rubén; Ruiz-Mora, Ana Belén; Luque-Gallego, Mariano (IEEE (Institute of Electrical and Electronics Engineers), 2021)
Preference-based Evolutionary Multiobjective Optimization (EMO) algorithms approximate the region of interest (ROI) of the Pareto optimal front defined by the preferences of a decision maker (DM). Here, we propose a ... -
Protecting Digital Twin-enabled 6G Networks for Industry 5.0
Alcaraz-Tello, María Cristina; López-Muñoz, Francisco Javier (IEEE Network, 2023-09-05)
New industrial paradigms, such as the Industrial Internet of Things (IIoT) and Industry 5.0, are emerging in industrial contexts with the aim of fostering quality in operational processes. With the expected launch of 6G ... -
Random Error Sampling-based Recurrent Neural Network Architecture Optimization.
Camero Unzueta, Andres; Toutouh-el-Alamin, Jamal; Alba-Torres, Enrique (Elsevier, 2020-09-15)
Recurrent neural networks are good at solving prediction problems. However, finding a network that suits a problem is quite hard because their performance is strongly affected by their architecture configuration. Automatic ... -
Real-Time Crowd Counting based on wearable Ephemeral IDs
Morales, Daniel; Agudo-Ruiz, Isaac; López-Muñoz, Francisco Javier (SCITEPRESS, 2022)
Crowd Counting is a very interesting problem aiming at counting people typically based on density averages and/or aerial images. This is very useful to prevent crowd crushes, especially on urban environments with high ... -
Revisiting Fault Localization Techniques for Model Transformations: Towards A Hybrid Approach
Muñoz, Paula; Troya-Castilla, Javier; Wimmer, Manuel; Kappel, Gerti (AITO, 2022-10-01)
The correctness of software built through model transformations highly depends on the correctness of these transformations. Different approaches have been proposed to ensure the correctness of model transformations by ... -
SALON ontology for the formal description of sequence alignments.
Benítez-Hidalgo, Antonio; Aldana-Montes, José Francisco; Navas-Delgado, Ismael; Roldán-García, María del Mar (BMC, 2023-02-27)
Background Information provided by high-throughput sequencing platforms allows the collection of content-rich data about biological sequences and their context. Sequence alignment is a bioinformatics approach to identifying ...