Zobrazeno 1 - 10
of 784
pro vyhledávání: '"A. P. Gonzalez-Marcos"'
Model-Free Control (MFC) has been applied to a wide variety of systems in which it has shown its performance. MFC offers "model-free operation", but the controller design requires some information from the nominal plant. This paper introduces a new d
Externí odkaz:
http://arxiv.org/abs/2411.01908
Autor:
J. de Pedro-Carracedo, J. Clemente, D. Fuentes-Jimenez, M. F. Cabrera-Umpiérrez, A. P. Gonzalez-Marcos
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8902 (2023)
Stress is one of the primary triggers of serious pathologies (e.g., depression, obesity, heart attack). Prolonged exposure to it can lead to addictive substance consumption and even suicide, without ignoring other adverse side effects in the economic
Externí odkaz:
https://doaj.org/article/d264de8a9292448980388dbe008326ba
Autor:
Mas-Buitrago, P., González-Marcos, A., Solano, E., Passegger, V. M., Cortés-Contreras, M., Ordieres-Meré, J., Bello-García, A., Caballero, J. A., Schweitzer, A., Tabernero, H. M., Montes, D., Cifuentes, C.
Publikováno v:
A&A 687, A205 (2024)
Deep learning (DL) techniques are a promising approach among the set of methods used in the ever-challenging determination of stellar parameters in M dwarfs. In this context, transfer learning could play an important role in mitigating uncertainties
Externí odkaz:
http://arxiv.org/abs/2405.08703
Publikováno v:
Annual Reviews in Control, Volume 57, 2024, 100910, ISSN 1367-5788
The selection of an appropriate control strategy is essential for ensuring safe operation in autonomous driving. While numerous control strategies have been developed for specific driving scenarios, a comprehensive comparative assessment of their per
Externí odkaz:
http://arxiv.org/abs/2311.07987
Autor:
El-Hamamsy, Laila, Zapata-Cáceres, María, Martín-Barroso, Estefanía, Mondada, Francesco, Zufferey, Jessica Dehler, Bruno, Barbara, Román-González, Marcos
The introduction of computing education into curricula worldwide requires multi-year assessments to evaluate the long-term impact on learning. However, no single Computational Thinking (CT) assessment spans primary school, and no group of CT assessme
Externí odkaz:
http://arxiv.org/abs/2305.19526
Autor:
Bello-García, A., Passegger, V. M., Ordieres-Meré, J., Schweitzer, A., Caballero, J. A., González-Marcos, A., Ribas, I., Reiners, A., Quirrenbach, A., Amado, P. J., Béjar, V. J. S., Cifuentes, C., Henning, Th., Kaminski, A., Luque, R., Montes, D., Morales, J. C., Pedraz, S., Tabernero, H. M., Zechmeister, M.
Publikováno v:
A&A 673, A105 (2023)
The large amounts of astrophysical data being provided by existing and future instrumentation require efficient and fast analysis tools. Transfer learning is a new technique promising higher accuracy in the derived data products, with information fro
Externí odkaz:
http://arxiv.org/abs/2304.00224
In order to increase the number of situations in which an intelligent vehicle can operate without human intervention, lateral control is required to accurately guide it in a reference trajectory regardless of the shape of the road or the longitudinal
Externí odkaz:
http://arxiv.org/abs/2210.01414
Autor:
Mas-Buitrago, P., Solano, E., González-Marcos, A., Rodrigo, C., Martín, E. L., Caballero, J. A., Jiménez-Esteban, F., Cruz, P., Ederoclite, A., Ordieres-Meré, J., Bello-García, A., Dupke, R. A., Cenarro, A. J., Cristóbal-Hornillos, D., Hernández-Monteagudo, C., López-Sanjuan, C., Marín-Franch, A., Moles, M., Varela, J., Ramió, H. Vázquez, Alcaniz, J., Sodré Jr., L., Angulo, R. E.
Publikováno v:
A&A 666, A147 (2022)
Ultracool dwarfs (UCDs) comprise the lowest mass members of the stellar population and brown dwarfs, from M7 V to cooler objects with L, T, and Y spectral types. Most of them have been discovered using wide-field imaging surveys, for which the Virtua
Externí odkaz:
http://arxiv.org/abs/2208.09377
Autor:
Passegger, V. M., Bello-García, A., Ordieres-Meré, J., Caballero, J. A., Schweitzer, A., González-Marcos, A., Ribas, I., Reiners, A., Quirrenbach, A., Amado, P. J., Azzaro, M., Bauer, F. F., Béjar, V. J. S., Cortés-Contreras, M., Dreizler, S., Hatzes, A. P., Henning, Th., Jeffers, S. V., Kaminski, A., Kürster, M., Lafarga, M., Marfil, E., Montes, D., Morales, J. C., Nagel, E., Sarro, L. M., Solano, E., Tabernero, H. M., Zechmeister, M.
Publikováno v:
A&A 642, A22 (2020)
Existing and upcoming instrumentation is collecting large amounts of astrophysical data, which require efficient and fast analysis techniques. We present a deep neural network architecture to analyze high-resolution stellar spectra and predict stella
Externí odkaz:
http://arxiv.org/abs/2008.01186
In the first half of the 20th century, a first pulse oximeter was available to measure blood flow changes in the peripheral vascular net. However, it was not until recent times the PhotoPlethysmoGraphic (PPG) signal used to monitor many physiological
Externí odkaz:
http://arxiv.org/abs/2007.15060