Zobrazeno 1 - 10
of 1 577
pro vyhledávání: '"A. Moretón"'
Autor:
Bayón-Gutiérrez, Martín, García-Ordás, María Teresa, Moretón, Héctor Alaiz, Aveleira-Mata, Jose, Martín, Sergio Rubio, Benítez-Andrades, José Alberto
Publikováno v:
M Bay\'on-Guti\'errez, MT Garc\'ia-Ord\'as, H Alaiz Moret\'on, J Aveleira-Mata, S Rubio-Mart\'in, JA Ben\'itez-Andrades. TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection. Logic Journal of the IGPL. 2024
Robust road surface estimation is required for autonomous ground vehicles to navigate safely. Despite it becoming one of the main targets for autonomous mobility researchers in recent years, it is still an open problem in which cameras and LiDAR sens
Externí odkaz:
http://arxiv.org/abs/2405.08429
Autor:
Benítez-Andrades, José Alberto, García-Rodríguez, Isaías, Benavides, Carmen, Alaiz-Moretón, Héctor, Rodríguez-González, Alejandro
Publikováno v:
Future Generation Computer Systems, Volume 106, May 2020, Pages 154-170
Alcohol Use Disorder (AUD) is a major concern for public health organizations worldwide, especially as regards the adolescent population. The consumption of alcohol in adolescents is known to be influenced by seeing friends and even parents drinking
Externí odkaz:
http://arxiv.org/abs/2402.10967
Autor:
Aguayo-Canela, Francisco José, Alaiz-Moretón, Héctor, García-Ordás, María Teresa, Benítez-Andrades, José Alberto, Benavides, Carmen, Novais, Paulo, García-Rodríguez, Isaías
Publikováno v:
Cluster Computing, 2021, Volume 24, pp 2313-2325
The spread of the Internet of Things (IoT) is demanding new, powerful architectures for handling the huge amounts of data produced by the IoT devices. In many scenarios, many existing isolated solutions applied to IoT devices use a set of rules to de
Externí odkaz:
http://arxiv.org/abs/2402.10385
Autor:
Aguayo-Canela, Francisco José, Alaiz-Moretón, Héctor, García-Ordás, María Teresa, Benítez-Andrades, José Alberto, Benavides, Carmen, García-Rodríguez, Isaías
Publikováno v:
The Journal of Supercomputing, Volume 77, pages 13046 - 13068, 2021
The increasing number of connected devices and the complexity of Internet of Things (IoT) ecosystems are demanding new architectures for managing and securing these networked environments. Intrusion Detection Systems (IDS) are security solutions that
Externí odkaz:
http://arxiv.org/abs/2402.09499
Autor:
García-Ordás, María Teresa, Alaiz-Moretón, Héctor, Casteleiro-Roca, José-Luis, Jove, Esteban, Benítez-Andrades, José Alberto, García-Rodríguez, Isaías, Quintián, Héctor, Calvo-Rolle, José Luis
Publikováno v:
Cybernetics and Systems, Volume 54, Issue 3, pages 286-305, 2023
This work addresses the performance comparison between four clustering techniques with the objective of achieving strong hybrid models in supervised learning tasks. A real dataset from a bio-climatic house named Sotavento placed on experimental wind
Externí odkaz:
http://arxiv.org/abs/2402.06921
Autor:
García-Ordás, María Teresa, Rubio-Martín, Sergio, Benítez-Andrades, José Alberto, Alaiz-Moretón, Hector, García-Rodríguez, Isaías
Publikováno v:
Applied Intelligence, Volume 53, July 2023, pp. 23287 - 23300
This study proposes a method based on fully convolutional neural networks (FCNs) to identify migratory birds from their songs, with the objective of recognizing which birds pass through certain areas and at what time. To determine the best FCN archit
Externí odkaz:
http://arxiv.org/abs/2402.05489
Autor:
Alaiz-Moreton, Hector, Aveleira-Mata, Jose, Ondicol-Garcia, Jorge, Muñoz-Castañeda, Angel Luis, García, Isaías, Benavides, Carmen
Publikováno v:
Complexity (New York, N.Y.), 2019, Vol.2019, p.1-11
The large number of sensors and actuators that make up the Internet of Things obliges these systems to use diverse technologies and protocols. This means that IoT networks are more heterogeneous than traditional networks. This gives rise to new chall
Externí odkaz:
http://arxiv.org/abs/2402.03270
Autor:
Rubio, Santiago Valbuena, García-Ordás, María Teresa, Olivera, Oscar García-Olalla, Alaiz-Moretón, Héctor, González-Alonso, Maria-Inmaculada, Benítez-Andrades, José Alberto
Publikováno v:
PeerJ Computer Science, Volume 9, December 2023, ID e1723
Glioblastoma is a highly malignant brain tumor with a life expectancy of only 3 to 6 months without treatment. Detecting and predicting its survival and grade accurately are crucial. This study introduces a novel approach using transfer learning tech
Externí odkaz:
http://arxiv.org/abs/2402.03384
Autor:
García-Ordás, María Teresa, Benavides, Carmen, Benítez-Andrades, José Alberto, Alaiz-Moretón, Héctor, García-Rodríguez, Isaías
Publikováno v:
Computer Methods and Programs in Biomedicine, Volume 202, April 2021, ID 105968
Background and objective: Diabetes is a chronic pathology which is affecting more and more people over the years. It gives rise to a large number of deaths each year. Furthermore, many people living with the disease do not realize the seriousness of
Externí odkaz:
http://arxiv.org/abs/2402.02188
Autor:
García-Ordás, María Teresa, Alaiz-Moretón, Héctor, Benítez-Andrades, José Alberto, García-Rodríguez, Isaías, García-Olalla, Oscar, Benavides, Carmen
Publikováno v:
Biomedical Signal Processing and Control, Volume 69, August 2021, ID 102946
In this work, a sentiment analysis method that is capable of accepting audio of any length, without being fixed a priori, is proposed. Mel spectrogram and Mel Frequency Cepstral Coefficients are used as audio description methods and a Fully Convoluti
Externí odkaz:
http://arxiv.org/abs/2402.02184