LCC - Artículos
Envíos recientes
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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 ... -
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, ... -
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 ... -
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 ... -
Padé numerical schemes for the sine–Gordon equation
Martin-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 ... -
KNIT: Ontology reusability through knowledge graph exploration
Rodríguez-Revello, Jorge; Barba-González, Cristóbal; Rybinski, Maciej; Navas-Delgado, Ismael (Elsevier, 2023)
Ontologies have become a standard for knowledge representation across several domains. In Life Sciences, numerous ontologies have been introduced to represent human knowledge, often providing overlapping or conflicting ... -
Fractal structure of the soliton scattering for the graphene superlattice equation
Martin Vergara, Francisca; Rus-Mansilla, Francisco de Asís; Villatoro-Machuca, Francisco Román (Elsevier, 2021-10)
The graphene superlattice equation, a modified sine-Gordon equation, governs the propagation of solitary electromagnetic waves in a graphene superlattice. This equation has kink solutions without explicit analytical ... -
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 ... -
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 ... -
Numerical search for the stationary quasi-breather of the graphene superlattice equation.
Martín Vergara, Francisca; Rus-Mansilla, Francisco de Asís; Villatoro-Machuca, Francisco Román; rus mansilla (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 ... -
A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks.
Durán-Rosal, Antonio Manuel; Durán-Fernández, Aggeo; Fernández-Navarro, Francisco de Asís; Carbonero-Ruz, Mariano (Elsevier, 2022-12-07)
Randomized-based Feedforward Neural Networks approach regression and classification (binary and multi-class) problems by minimizing the same optimization problem. Specifically, the model parameters are determined through ... -
A modular metamodel and refactoring rules to achieve software product line interoperability.
Horcas-Aguilera, José Miguel; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (Elsevier, 2022-12-05)
Emergent application domains, such as cyber–physical systems, edge computing or industry 4.0. present a high variability in software and hardware infrastructures. However, no single variability modeling language supports ... -
ExTrA: Explaining architectural design tradeoff spaces via dimensionality reduction.
Cámara-Moreno, Javier; Wohlrab, Rebekka; Garlan, David; Schmerl, Bradley (Elsevier, 2022-12-19)
In software design, guaranteeing the correctness of run-time system behavior while achieving an acceptable balance among multiple quality attributes remains a challenging problem. Moreover, providing guarantees about the ... -
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 ... -
STAN: analysis of data traces using an event-driven interval temporal logic
Panizo-Jaime, Laura; Gallardo-Melgarejo, María del Mar (Springer Nature, 2022-11-30)
The increasing integration of systems into people’s daily routines, especially smartphones, requires ensuring correctness of their functionality and even some performance requirements. Sometimes, we can only observe the ...