Listar Lenguajes y Ciencias de la Computación - (LCC) por tipo "info:eu-repo/semantics/publishedVersion"
Mostrando ítems 1-20 de 74
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A comprehensive analysis based on GIS-AHP to minimise the social and environmental impact of the installation of large-scale photovoltaic plants in south Spain
(Elsevier, 2024)This article aims to propose a methodology to assess and prioritise the territorial factors considered when selecting the location of large-scale photovoltaic plants. It therefore seeks to answer the current social ... -
A formal approach to automatically analyse extra-functionalproperties in mobile applications.
(Wiley, 2019-06-14)This paper presents an integrated approach for testing mobile applications (apps) against a set of extra-functional properties to be used by app developers. The approach starts with the (manual ... -
A modular metamodel and refactoring rules to achieve software product line interoperability.
(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.
(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 multi-objective approach for communication reduction in federated learning under devices heterogeneity constraints
(Elsevier, 2024-02-24)Federated learning is a paradigm that proposes protecting data privacy by sharing local models instead of raw data during each iteration of model training. However, these models can be large, with many parameters, provoking ... -
A novel clustering based method for characterizing household electricity consumption profiles
(Elsevier, 2023-12-12)A new methodology based on expert knowledge and data mining is proposed to obtain data-driven models that characterize household consumption profiles. These profiles are useful for electricity marketers to understand their ... -
A scoping review and a taxonomy of the use of motion-based technology centered on the end user. A special focus on elderly health
(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
(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
(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
(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 automatic and association-based procedure for hierarchical publication subject categorization
(Elsevier, 2023-11-11)Subject categorization of scientific publications, i.e., journals, book series or conference proceedings, has become a main concern in academia, as publication impact and ranking are considered a basic criterion to evaluate ... -
An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum
(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
(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, ... -
Analysis of 3D Scan Measurement Distribution with Application to a Multi-Beam Lidar on a Rotating Platform
(MDPI, 2018)Multi-beam lidar (MBL) rangefinders are becoming increasingly compact, light, and accessible 3D sensors, but they offer limited vertical resolution and field of view. The addition of a degree-of-freedom to build a rotating ... -
Application of data augmentation techniques towards metabolomics
(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
(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
(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
(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 ... -
BIGOWL4DQ: ontology-driven approach for Big Data quality meta-modelling, selection and reasoning
(Elsevier, 2023-11-27)Context: Data quality should be at the core of many Artificial Intelligence initiatives from the very first moment in which data is required for a successful analysis. Measurement and evaluation of the level of quality ... -
Blockchain Technology for Smart Tourism Destinations
(MDPI, 2020-11-21)Este artículo conceptual discute el potencial de la tecnología blockchain en el área de destinos turísticos inteligentes.