Listar LCC - Artículos por centro "E.T.S.I. Informática"
Mostrando ítems 1-20 de 128
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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
López Bravo, Celia; Mora-López, Llanos
; Sidrach-de-Cardona-Ortin, Mariano; Márquez-Ballesteros, María José (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 fast robust geometric fitting method for parabolic curves.
López-Rubio, Ezequiel; Thurnhofer-Hemsi, Karl; Blázquez-Parra, Elidia Beatriz; De-Cózar-Macías, Óscar; Ladrón-de-Guevara-Muñoz, María del Carmen (Elsevier, 2018-07-18)
Fitting discrete data obtained by image acquisition devices to a curve is a common task in many fields of science and engineering. In particular, the parabola is some of the most employed shape features in electrical ... -
A formal approach to automatically analyse extra-functionalproperties in mobile applications.
Espada Sandi, Ana Rosario; Gallardo-Melgarejo, María del Mar; Salmerón, Alberto; Panizo-Jaime, Laura; Merino-Gómez, Pedro (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 GRASP-based memetic algorithm with path relinking for the far from most string problem.
Gallardo-Ruiz, José Enrique; Cotta-Porras, Carlos (Elsevier, 2015)
The FAR FROM MOST STRING PROBLEM (FFMSP) is a string selection problem. The objective is to find a string whose distance to other strings in a certain input set is above a given threshold for as many of those strings as ... -
A methodology to find the elementary landscape decomposition of combinatorial optimization problems
A small number of combinatorial optimization problems have search spaces that correspond to elementary landscapes, where the objective function f is an eigenfunction of the Laplacian that describes the neighborhood structure ... -
A multi-objective approach for communication reduction in federated learning under devices heterogeneity constraints
Morell, José Ángel; Abdelmoiz Dahi, Zakaria; Chicano-García, José-Francisco; Luque-Polo, Gabriel Jesús; Alba-Torres, Enrique (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
Rodríguez-Gómez, Francisco; Del-Campo-Ávila, José; Mora-López, Llanos (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
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 similarity measure for cyclic unary regular languages
Dassow, Jürgen; Martín Reyes, Gema María; Vico-Vela, Francisco José (IOS Press, 2009)
A cyclic unary regular language is a regular language over a unary alphabet that is represented by a cyclic automaton. We propose a similarity measure for cyclic unary regular languages by modifying the Jaccard similarity ... -
A takeover time-driven adaptive evolutionary algorithm for mobile user tracking in pre-5G cellular networks
Dahi, Zakaria Abdelmoiz; Alba-Torres, Enrique (ELSEVIER, 2022-02)
Cellular networks are one of today’s most popular means of communication. This fact has made the mobile phone industry subject to a huge scientific and economic competition, where the quality of service is key. Such a ... -
Adaptive music: Automated music composition and distribution
(2016)Creativity, or the ability to produce new useful ideas, is commonly associated to the human being; but there are many other examples in nature where this phenomenon can be observed. Inspired by this fact, in engineering, ... -
AI Methods in Algorithmic Composition: A Comprehensive Survey
Fernández-Rodríguez, Jose David; Vico-Vela, Francisco José (AI Access Foundation, 2013)
Algorithmic composition is the partial or total automation of the process of music composition by using computers. Since the 1950s, different computational techniques related to Artificial Intelligence have been used for ... -
An automatic and association-based procedure for hierarchical publication subject categorization
Urdiales-García, Amalia Cristina; Guzmán-de-los-Riscos, Eduardo Francisco (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 evaluation of best compromise search in graphs
Machuca, Enrique; Mandow-Andaluz, Lorenzo; Galand, Lucie (Springer, 2013-09)
This work evaluates two different approaches for multicriteria graph search problems using compromise preferences. This approach focuses search on a single solution that represents a balanced tradeoff between objectives, ... -
An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum
Torres, Daniel R.; Martín-Fernández, Cristian; Díaz, Manuel; Rubio-Muñoz, Bartolomé (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
(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; 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 ...