Zobrazeno 1 - 10
of 644
pro vyhledávání: '"P. Gutiérrez Martín"'
Autor:
Gutierrez-Martin, Laura, Ongil, Celia Lopez, Lanza-Gutierrez, Jose M., Calero, Jose A. Miranda
Emotion recognition through artificial intelligence and smart sensing of physical and physiological signals (Affective Computing) is achieving very interesting results in terms of accuracy, inference times, and user-independent models. In this sense,
Externí odkaz:
http://arxiv.org/abs/2410.03696
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:
Rubio-Martín, Sergio, García-Ordás, María Teresa, Bayón-Gutiérrez, Martín, Prieto-Fernández, Natalia, Benítez-Andrades, José Alberto
Publikováno v:
Health Inf Sci Syst 12, 20 (2024)
Purpose: Our study explored the use of artificial intelligence (AI) to diagnose autism spectrum disorder (ASD). It focused on machine learning (ML) and deep learning (DL) to detect ASD from text inputs on social media, addressing challenges in tradit
Externí odkaz:
http://arxiv.org/abs/2403.03581
Autor:
García-Ordás, María Teresa, Bayón-Gutiérrez, Martín, Benavides, Carmen, Aveleira-Mata, Jose, Benítez-Andrades, José Alberto
Publikováno v:
Multimedia Tools and Applications, Volume 82, pp. 31759 - 31773, August 2024
Cardiovascular diseases state as one of the greatest risks of death for the general population. Late detection in heart diseases highly conditions the chances of survival for patients. Age, sex, cholesterol level, sugar level, heart rate, among other
Externí odkaz:
http://arxiv.org/abs/2402.05495
Autor:
Marina Campins-Romeu, Rebeca Conde-Sardón, Isabel Sastre-Bataller, Carlos Morata-Martínez, Mireya Losada-López, José Luís León-Guijarro, Luis Raga-Rodríguez, Julia Pérez-García, Antonio Gutiérrez-Martín, Andrés M. Lozano, Raquel Baviera-Muñoz, Irene Martínez-Torres
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Idiopathic Parkinson’s Disease (PD) is a neurodegenerative disorder characterized by tremor, rigidity, bradykinesia, and postural instability. Magnetic Resonance-guided high-intensity focused ultrasound (MRgFUS) of the subthalamic nucleus
Externí odkaz:
https://doaj.org/article/5208d520273d438892bd0ff8101734bd
Autor:
Rubén Miguélez-Pérez, Oscar Mencía-Ares, César B. Gutiérrez-Martín, Alba González-Fernández, Máximo Petrocchi-Rilo, Mario Delgado-García, Sonia Martínez-Martínez
Publikováno v:
Veterinary Research, Vol 55, Iss 1, Pp 1-16 (2024)
Abstract Streptococcus suis is a worldwide pathogen that impacts the swine industry, causing severe clinical signs, including meningitis and arthritis, in postweaning piglets. A key virulence mechanism of S. suis is biofilm formation, which improves
Externí odkaz:
https://doaj.org/article/2631b9175c924f7ab7850a0ebe589303
Autor:
Alba González-Fernández, Oscar Mencía-Ares, María José García-Iglesias, Máximo Petrocchi-Rilo, Rubén Miguélez-Pérez, Alberto Perelló-Jiménez, Elena Herencia-Lagunar, Vanessa Acebes-Fernández, César B. Gutiérrez-Martín, Sonia Martínez-Martínez
Publikováno v:
Porcine Health Management, Vol 10, Iss 1, Pp 1-16 (2024)
Abstract Background Glaesserella parasuis (G. parasuis) is the primary agent of Glässer’s disease, significantly affecting nursery and early fattening piglets. Current prophylactic measures, mainly serovar-specific bacterins administered to sows,
Externí odkaz:
https://doaj.org/article/9a2314fc3fcc4ab980456f2ad075b42f
Autor:
Jose A. Miranda Calero, Laura Gutiérrez-Martín, Esther Rituerto-González, Elena Romero-Perales, Jose M. Lanza-Gutiérrez, Carmen Peláez-Moreno, Celia López-Ongil
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract WEMAC is a unique open multi-modal dataset that comprises physiological, speech, and self-reported emotional data records of 100 women, targeting Gender-based Violence detection. Emotions were elicited through visualizing a validated video s
Externí odkaz:
https://doaj.org/article/74e8bd8036934212bd37d4071025466e
Autor:
L. Gil-García, N. M. Montilla-López, C. Gutiérrez-Martín, Á. Sánchez-Daniel, P. Saiz-Santiago, J. M. Polanco-Martínez, J. Pindado, C. D. Pérez-Blanco
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 4501-4520 (2024)
This paper develops an actionable interdisciplinary model that quantifies and assesses uncertainties in water resource allocation under climate change. To achieve this objective, we develop an innovative socio-ecological grand ensemble that combines
Externí odkaz:
https://doaj.org/article/c052d7aaff664e989bae062a6523c924
Autor:
L. Gangas Barranquero, M. Rivera Sánchez, M. Polanco Fernández, A. Valera Barrero, J. Infante Ceberio, A. Pelayo Negro, F. Gutiérrez Martín, S. Jorge Roldán, L. Manrique Arregui
Publikováno v:
Neurology Perspectives, Vol 4, Iss , Pp 152- (2024)
Externí odkaz:
https://doaj.org/article/96c3902ff4b3497e8b2d5ad988d41acc