Lenguajes y Ciencias de la Computación - (LCC)
Estas son las colecciones en las que puede catalogar la producción investigadora del departamento Lenguajes y Ciencias de la Computación. Si considera que ninguna de estas se ajusta a su material pida una nueva colección en la sección de sugerencias.
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Towards Self-Adaptive Software for Wildfire Monitoring with Unmanned Air Vehicles.
Wildfires have evolved significantly over the last decades, burning increasingly large forest areas every year. Smart cyber-physical systems like small Unmanned Air Vehicles (UAVs) can help to monitor, predict, and mitigate ... -
A Unified Metamodel for NoSQL and Relational Databases.
(2023)The Database field is undergoing significant changes. Although relational systems are still predominant, the interest in NoSQL systems is continuously increasing. In this scenario, polyglot persistence is envisioned as the ... -
A generic LSTM neural network architecture to infer heterogeneous model transformations.
Models capture relevant properties of systems. During the models’ life-cycle, they are subjected to manipulations with different goals such as managing software evolution, performing analysis, increasing developers’ ... -
Un analizador de modelos de variabilidad basado en el árbol de características.
Horcas-Aguilera, José Miguel
; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (Sistedes, 2023-09-12)
Un árbol de características generalizado (GFT) es un modelo de variabilidad en el que las restricciones textuales han sido eliminadas manteniendo la semántica del modelo. La ventaja de un GFT es que se puede analizar ... -
Impacto de la heterogeneidad espacial del tráfico de red en el problema del apagado de celdas en redes ultra-densas.
Galeno-Brajones, Jesús; Luna-Valero, Francisco; Carmona Murillo, Javier; Valenzuela-Valdés, Juan Francisco; Zapata Cano, Pablo Helio (2023)
The ultra-dense deployment of small base stations is one of the enabling technologies for the next generation of mobile networks (5G and 6G), which leads to an increase in the energy consumption of the infrastructure. This ... -
Motion-based technology to support motor skills screening in developing children: A scoping review
(Elsevier, 2023-10)Background. Acquiring motor skills is fundamental for children's development since it is linked to cognitive development. However, access to early detection of motor development delays is limited. Aim. This ... -
Parallel proccessing applied to object detection with a Jetson TX2 embedded system.
Benito-Picazo, Jesús; Fernández Rodríguez, Jose David; Domínguez-Merino, Enrique; Palomo-Ferrer, Esteban José; López-Rubio, Ezequiel (2023)
Video streams from panoramic cameras represent a powerful tool for automated surveillance systems, but naïve implementations typically require very intensive computational loads for applying deep learning models for automated ... -
Elimination of constraints for parallel analysis of feature models.
Horcas-Aguilera, José Miguel; Ballesteros-Gómez, Joaquín; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (2023)
Cross-tree constraints give feature models maximal expressive power since any interdependency between features can be captured through arbitrary propositional logic formulas. However, the existence of these constraints ... -
Clinical text classification in Cancer Real-World Data in Spanish
Moreno-Barea, Francisco J.; Mesa, Héctor; Ribelles-Entrena, Nuria; Alba-Conejo, Emilio; Jerez-Aragonés, José Manuel (2023-06-29)
Healthcare systems currently store a large amount of clinical data, mostly unstructured textual information, such as electronic health records (EHRs). Manually extracting valuable information from these documents is costly ... -
Named Entity Recognition for De-identifying Real-World Health Records in Spanish.
López-García, Guillermo; Moreno-Barea, Francisco J.; Mesa, Héctor; Jerez-Aragonés, José Manuel; Ribelles-Entrena, Nuria; Alba-Conejo, Emilio; Veredas-Navarro, Francisco Javier[et al.] (Springer Nature, 2023)
A growing and renewed interest has emerged in Electronic Health Records (EHRs) as a source of information for decision-making in clinical practice. In this context, the automatic de-identification of EHRs constitutes an ... -
Transforming numerical feature models into propositional formulas and the universal variability language
Muñoz, Daniel-Jesús; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia; Batory, Don (Elsevier, 2023)
Real-world Software Product Lines (SPLs) need Numerical Feature Models (NFMs) whose features have not only boolean values that satisfy boolean constraints but also have numeric attributes that satisfy arithmetic constraints. ... -
Analysis and recognition of human gait activity based on multimodal sensors
Teran-Pineda, Diego; Thurnhofer-Hemsi, Karl; Domínguez-Merino, Enrique (MDPI, 2023-03-22)
Remote health monitoring plays a significant role in research areas related to medicine, neurology, rehabilitation, and robotic systems. These applications include Human Activity Recognition (HAR) using wearable sensors, ... -
Deep learning for coronary artery disease severity classification
Jiménez-Partinen, Ariadna; Thurnhofer-Hemsi, Karl; Palomo-Ferrer, Esteban José; Molina-Ramos, Ana I. (2023)
Medical imaging evaluations are one of the fields where computed-aid diagnosis could improve the efficiency of diagnosis supporting physician decisions. Cardiovascular Artery Disease (CAD) is diagnosed using the gold ... -
Private set intersection: A systematic literature review
Morales, Daniel; Agudo-Ruiz, Isaac; Lopez, Javier (Elsevier, 2023)
Secure Multi-party Computation (SMPC) is a family of protocols which allow some parties to compute a function on their private inputs, obtaining the output at the end and nothing more. In this work, we focus on a particular ... -
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 ... -
A scoping review and a taxonomy of the use of motion-based technology centered on the end user. A special focus on elderly health
Bossavit, Benoit; Fernández-Leiva, Antonio José (Springer, 2023)
Motion-based technology (MBT) has been applied in the last decades with enormous success in a high number of applications. Its use continues growing and is specially interesting in the health area. Nowadays, its employment ... -
GreenSenti-IA: A Workflow Approach for Biodiversity Analysis in Urban Green Area Monitoring.
Benítez-Hidalgo, Antonio; García-Nieto, José Manuel; Aldana Martín, José Francisco; Cardas Ezeiza, Cristian; Aldana-Montes, José Francisco; Navas-Delgado, Ismael[et al.] (2023)
Nowadays, efficient urban planning cannot be conceived without carefully considering its ecological footprint. In particular, the smart design and monitoring of urban green areas is an important challenge in modern cities ... -
Performance analysis of the Multi‑connection Tactile Internet Protocol over 5G
Rico, Delia; Grinemmo, Karl‑Johan; Brunstrom, Anna; Merino-Gómez, Pedro (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 ... -
Padé numerical schemes with Richardson extrapolation for the sine–Gordon equation
Martin 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 ...