Zobrazeno 1 - 10
of 190
pro vyhledávání: '"Pedro Antonio Gutiérrez"'
Autor:
Alejandro Morales-Martín, Francisco-Javier Mesas-Carrascosa, Pedro Antonio Gutiérrez, Fernando-Juan Pérez-Porras, Víctor Manuel Vargas, César Hervás-Martínez
Publikováno v:
Sensors, Vol 24, Iss 7, p 2168 (2024)
Recent advances in Deep Learning and aerial Light Detection And Ranging (LiDAR) have offered the possibility of refining the classification and segmentation of 3D point clouds to contribute to the monitoring of complex environments. In this context,
Externí odkaz:
https://doaj.org/article/bf5a466b16e145d6acf1c6b11fa1cc9d
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract Modelling extreme values distributions, such as wave height time series where the higher waves are much less frequent than the lower ones, has been tackled from the point of view of the Peak-Over-Threshold (POT) methodologies, where modellin
Externí odkaz:
https://doaj.org/article/3fea649c22744ceeb4c13a313207fd2c
Autor:
Antonio M. Durán-Rosal, Julio Camacho-Cañamón, Pedro Antonio Gutiérrez, Maria Victoria Guiote Moreno, Ester Rodríguez-Cáceres, Juan Antonio Vallejo Casas, César Hervás-Martínez
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Parkinson’s disease is characterised by a decrease in the density of presynaptic dopamine transporters in the striatum. Frequently, the corresponding diagnosis is performed using a qualitative analysis of the 3D-images obtained after the a
Externí odkaz:
https://doaj.org/article/2fb9f7132cba46769c7cb82185edf9a4
Autor:
David Guijo-Rubio, Javier Briceño, Pedro Antonio Gutiérrez, Maria Dolores Ayllón, Rubén Ciria, César Hervás-Martínez
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0252068 (2021)
Donor-Recipient (D-R) matching is one of the main challenges to be fulfilled nowadays. Due to the increasing number of recipients and the small amount of donors in liver transplantation, the allocation method is crucial. In this paper, to establish a
Externí odkaz:
https://doaj.org/article/5db38257d4624fc2b8780213f27f6233
Autor:
Antonio Rivero-Juárez, David Guijo-Rubio, Francisco Tellez, Rosario Palacios, Dolores Merino, Juan Macías, Juan Carlos Fernández, Pedro Antonio Gutiérrez, Antonio Rivero, César Hervás-Martínez
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0227188 (2020)
Several European countries have established criteria for prioritising initiation of treatment in patients infected with the hepatitis C virus (HCV) by grouping patients according to clinical characteristics. Based on neural network techniques, our ob
Externí odkaz:
https://doaj.org/article/95a8bd1c42094a478b84e74668c4f4f3
Autor:
Antonio Manuel Gómez-Orellana, Juan Carlos Fernández, Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez
Publikováno v:
Energies, Vol 14, Iss 2, p 468 (2021)
Meteorological data are extensively used to perform environmental learning. Soft Computing (SC) and Machine Learning (ML) techniques represent a valuable support in many research areas, but require datasets containing information related to the topic
Externí odkaz:
https://doaj.org/article/6de2d7c4e85945f7b18416cb9dc5c99a
Publikováno v:
Information Fusion. 93:258-267
Autor:
Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni
Publikováno v:
Neural Computing and Applications. 34:11625-11639
Nowadays, decision support systems (DSSs) are widely used in several application domains, from industrial to healthcare and medicine fields. Concerning the industrial scenario, we propose a DSS oriented to the aesthetic quality control (AQC) task, wh
Publikováno v:
Expert Systems with Applications. 225:120103
Autor:
Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez
Predictive Maintenance (PdM) methods aim to facilitate the scheduling of maintenance work before equipment failure. In this context, detecting early faults in automated teller machines (ATMs) has become increasingly important since these machines are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9106ec772d82c24ccd20fe297bdca65e