Listar Lenguajes y Ciencias de la Computación - (LCC) por tipo "info:eu-repo/semantics/publishedVersion"
Mostrando ítems 1-20 de 47
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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 ... -
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 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 ... -
A Semantic Model for Enhancing Data-Driven Open Banking Services
Paneque Romero, Manuel; Roldán-García, María del Mar; García-Nieto, José Manuel (IOAP-MDPI, 2023-01-21)
In current Open Banking services, the European Payment Services Directive (PSD2) allows the secure collection of bank customer information, on their behalf and with their consent, to analyze their financial status and ... -
A survey on the (in)security of trusted execution environments
Muñoz-Gallego, Antonio Jesús; Ríos-del-Pozo, Rubén; Román-Castro, Rodrigo; López-Muñoz, Francisco Javier (Elsevier, 2023)
As the number of security and privacy attacks continue to grow around the world, there is an ever increasing need to protect our personal devices. As a matter of fact, more and more manufactures are relying on Trusted ... -
A Test Environment for Wireless Hacking in Domestic IoT Scenarios
Muñoz-Gallego, Antonio Jesús; Fernández-Gago, María del Carmen; López-Villa, Roberto (Springer Nature, 2022-10-14)
Security is gaining importance in the daily life of every citizen. The advent of Internet of Things devices in our lives is changing our conception of being connected through a single device to a multiple connection in ... -
An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum
Torres, Daniel R.; Martin-Fernandez, Cristian; Díaz, Manuel; Rubio-Muñoz, Bartolome (Elsevier, 2021-06-16)
The current dependency of Artificial Intelligence (AI) systems on Cloud computing implies higher transmission latency and bandwidth consumption. Moreover, it challenges the real-time monitoring of physical objects, e.g., ... -
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, ... -
Application of data augmentation techniques towards metabolomics
Moreno-Barea, Francisco J.; Franco, Leonardo; Elizondo Acuña, David Alberto; Grootveld, Martin (Elsevier, 2022-07-27)
Niemann–Pick Class 1 (NPC1) disease is a rare and debilitating neurodegenerative lysosomal storage disease (LSD). Metabolomics datasets of NPC1 patients available to perform this type of analysis are often limited in the ... -
Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering
Molina-Cabello, Miguel Ángel; Thurnhofer Hemsi, Karl Khader; Molina Cabello, David; Palomo-Ferrer, Esteban José (Wiley, 2023)
Knowing student learning styles represents an effective way to design the most suitable methodology for our students so that performance can improve with less effort for both students and teachers. However, a methodology ... -
Automate d lab eling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks
García Aguilar, Iván; García González, Jorge; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel (Elsevier, 2023)
The exponential increase in the use of technology in road management systems has led to real-time vi- sual information in thousands of locations on road networks. A previous step in preventing or detecting accidents involves ... -
Automatic frequency-based feature selection using discrete weighted evolution strategy
Nematzadeh, Hossein; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (Elsevier, 2022-10-10)
High dimensional datasets usually suffer from curse of dimensionality which may increase the classification time and decrease the classification accuracy beyond a certain dimensionality. Thus, feature selection is used to ... -
Classifying resilience approaches for protecting smart grids against cyber threats
Syrmakesis, Andrew D.; Alcaraz-Tello, María Cristina; Hatziargyriou, Nikos D. (Springer, 2022-05-06)
Smart grids (SG) draw the attention of cyber attackers due to their vulnerabilities, which are caused by the usage of heterogeneous communication technologies and their distributed nature. While preventing or detecting ... -
Combining multiple granularity variability in a software product line approach for web engineering
Horcas-Aguilera, José Miguel; Cortiñas, Alejandro; Fuentes-Fernández, Lidia; Luaces, Miguel R. (Elsevier, 2022-08)
Context: Web engineering involves managing a high diversity of artifacts implemented in different languages and with different levels of granularity. Technological companies usually implement variable artifacts of Software ... -
Data driven tools to assess the location of photovoltaic facilities in urban areas
Rodríguez-Gómez, Francisco; Del-Campo-Ávila, José; Ferrer Cuesta, Marta; Mora-López, Llanos (Elsevier, 2022-10-01)
Urban sustainability is a significant factor in combating climate change. Replacing polluting by renewable energies is fundamental to reduce the emission of greenhouse gases. Photovoltaic (PV) facilities harnessing solar ... -
Designing problem-specific operators for solving the Cell Switch-Off problem in ultra-dense 5G networks with hybrid MOEAs
Galeano-Brajones, Jesús; Luna-Valero, Francisco; Carmona Murillo, Javier; Zapata Cano, Pablo Helio; Valenzuela-Valdés, Juan Francisco (Elsevier, 2023)
The massive deployment of base stations is one of the key pillars of the fifth generation (5G) of mobile communications. However, this network densification entails high energy consumption that must be addressed to enhance ... -
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 ... -
Effect of the initial conditions on a one-dimensional model of small-amplitude wave propagation in shallow water: II: Blowup for nonsmooth conditions.
Ramos-Sobrados, Juan Ignacio; García-López, Carmen María (Emerald, 2023-11-27)
Abstract Purpose – The purpose of this paper is to analyze numerically the blowup in finite time of the solutions to a one-dimensional, bidirectional, nonlinear wave model equation for the propagation of small-amplitude ... -
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. ... -
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 ...