Zobrazeno 1 - 10
of 9 434
pro vyhledávání: '"A. Fernández Fernández"'
Autor:
Fournier, Claudia, Fernandez-Fernandez, Raul, Cirés, Samuel, López-Orozco, José A., Besada-Portas, Eva, Quesada, Antonio
Publikováno v:
Water Research (2024) Volume 267 ISSN: 0043-1354
Cyanobacteria are the most frequent dominant species of algal blooms in inland waters, threatening ecosystem function and water quality, especially when toxin-producing strains predominate. Enhanced by anthropogenic activities and global warming, cya
Externí odkaz:
http://arxiv.org/abs/2410.08237
Autor:
Cueli, M. M., Cabo, S. R., González-Nuevo, J., Bonavera, L., Lapi, A., Viel, M., Crespo, D., Casas, J. M., Fernández-Fernández, R.
The phenomenon of magnification bias can induce a non-negligible angular correlation between two samples of galaxies with nonoverlapping redshift distributions. This signal is particularly clear when background submillimeter galaxies are used, and ha
Externí odkaz:
http://arxiv.org/abs/2406.03236
Autor:
Fernández-Fernández, Rebeca, Bonavera, Laura, Crespo, David, González-Nuevo, Joaquín, Cueli, Marcos M., Casas, José Manuel, Cabo, Sara R.
Publikováno v:
A&A 685, A155 (2024)
Magnification bias, an observational effect of gravitational lensing in the weak regime, allows testing the cosmological model through angular correlations of sources at different redshifts. This effect has been observed in various contexts, particul
Externí odkaz:
http://arxiv.org/abs/2403.03855
Autor:
Fernandez-Fernandez, Raul, Aggravi, Marco, Giordano, Paolo Robuffo, Victores, Juan G., Pacchierotti, Claudio
Neural Style Transfer (NST) refers to a class of algorithms able to manipulate an element, most often images, to adopt the appearance or style of another one. Each element is defined as a combination of Content and Style: the Content can be conceptua
Externí odkaz:
http://arxiv.org/abs/2402.00722
Publikováno v:
Sensors, Volume 18, Issue 11, 2018
One of the most important challenges of Smart City Applications is to adapt the system to interact with non-expert users. Robot imitation frameworks aim to simplify and reduce times of robot programming by allowing users to program directly through d
Externí odkaz:
http://arxiv.org/abs/2402.00678
Autor:
Fernandez-Fernandez, Raul, Victores, Juan G., Gago, Jennifer J., Estevez, David, Balaguer, Carlos
Publikováno v:
Cognitive Systems Research, Volume 72, March 2022, Pages 23 to 32
Style Transfer has been proposed in a number of fields: fine arts, natural language processing, and fixed trajectories. We scale this concept up to control policies within a Deep Reinforcement Learning infrastructure. Each network is trained to maxim
Externí odkaz:
http://arxiv.org/abs/2402.00677
Publikováno v:
Cognitive Systems Research, Volume 81, September 2023, pages 57 to 63
The current success of Reinforcement Learning algorithms for its performance in complex environments has inspired many recent theoretical approaches to cognitive science. Artistic environments are studied within the cognitive science community as ric
Externí odkaz:
http://arxiv.org/abs/2402.00676
Publikováno v:
Cognitive Systems Research, Volume 82, December 2023
Neural Style Transfer (NST) was originally proposed to use feature extraction capabilities of Neural Networks as a way to perform Style Transfer with images. Pre-trained image classification architectures were selected for feature extraction, leading
Externí odkaz:
http://arxiv.org/abs/2402.00663
Autor:
Acero, F. J., Fernández-Fernández, M. I., Carrasco, V. M. S., Parey, S., Hoang, T. T. Huong, Dacunha-Castelle, D., García, J. A.
Heat wave (HW) events are becoming more frequent, and they have important consequences because of the negative effects they can have not only on the human population in health terms, but also on biodiversity and agriculture. This motivated a study of
Externí odkaz:
http://arxiv.org/abs/2402.00514
Quantum information transfer is fundamental for scalable quantum computing in any potential platform and architecture. Hole spin qubits, owing to their intrinsic spin-orbit interaction (SOI), promise fast quantum operations which are fundamental for
Externí odkaz:
http://arxiv.org/abs/2312.04631