Zobrazeno 1 - 10
of 17 992
pro vyhledávání: '"Pellicer A."'
Autor:
Pellicer-Valero, Oscar J., Fernández-Torres, Miguel-Ángel, Ji, Chaonan, Mahecha, Miguel D., Camps-Valls, Gustau
With climate change-related extreme events on the rise, high dimensional Earth observation data presents a unique opportunity for forecasting and understanding impacts on ecosystems. This is, however, impeded by the complexity of processing, visualiz
Externí odkaz:
http://arxiv.org/abs/2410.01770
Autor:
Royo, Pedro, Muñoz, Elkin, Romero, José-Enrique, Manjón, José-Vicente, Roig, Catalina, Fernández-Delgado, Carmen, Muñiz, Nuria, Requena, Antonio, Garrido, Nicolás, Velasco, Juan Antonio García, Pellicer, Antonio
Ultrasound follicle tracking is an important part of cycle monitoring. OSIS Ovary (Online System for Image Segmentation for the Ovary) has been conceived aiming to aid the management of the workflow in follicle tracking, one of the most iterative pro
Externí odkaz:
http://arxiv.org/abs/2407.18818
Autor:
Camps-Valls, Gustau, Fernández-Torres, Miguel-Ángel, Cohrs, Kai-Hendrik, Höhl, Adrian, Castelletti, Andrea, Pacal, Aytac, Robin, Claire, Martinuzzi, Francesco, Papoutsis, Ioannis, Prapas, Ioannis, Pérez-Aracil, Jorge, Weigel, Katja, Gonzalez-Calabuig, Maria, Reichstein, Markus, Rabel, Martin, Giuliani, Matteo, Mahecha, Miguel, Popescu, Oana-Iuliana, Pellicer-Valero, Oscar J., Ouala, Said, Salcedo-Sanz, Sancho, Sippel, Sebastian, Kondylatos, Spyros, Happé, Tamara, Williams, Tristan
In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences. Here, AI improved weather forecasting, model emulation, parameter estimation, and the prediction of extreme events. However, the latter
Externí odkaz:
http://arxiv.org/abs/2406.20080
Autor:
Ji, Chaonan, Fincke, Tonio, Benson, Vitus, Camps-Valls, Gustau, Fernandez-Torres, Miguel-Angel, Gans, Fabian, Kraemer, Guido, Martinuzzi, Francesco, Montero, David, Mora, Karin, Pellicer-Valero, Oscar J., Robin, Claire, Soechting, Maximilian, Weynants, Melanie, Mahecha, Miguel D.
With climate extremes' rising frequency and intensity, robust analytical tools are crucial to predict their impacts on terrestrial ecosystems. Machine learning techniques show promise but require well-structured, high-quality, and curated analysis-re
Externí odkaz:
http://arxiv.org/abs/2406.18179
As the use of Deep Neural Networks (DNNs) becomes pervasive, their vulnerability to adversarial attacks and limitations in handling unseen classes poses significant challenges. The state-of-the-art offers discrete solutions aimed to tackle individual
Externí odkaz:
http://arxiv.org/abs/2406.16501
Publikováno v:
ICANN2024
As the development of deep learning techniques in autonomous landing systems continues to grow, one of the major challenges is trust and security in the face of possible adversarial attacks. In this paper, we propose a federated adversarial learning-
Externí odkaz:
http://arxiv.org/abs/2406.15925
This article introduces a novel approach to perform the simulation of a single qubit quantum algorithm using laser beams. Leveraging the polarization states of photonic qubits, and inspired by variational quantum eigensolvers, we develop a variationa
Externí odkaz:
http://arxiv.org/abs/2405.04142
Autor:
Filho, A. A. Araújo, Jusufi, Kimet, Cuadros-Melgar, B., Leon, Genly, Jawad, Abdul, Pellicer, C. E.
This study derives a novel family of charged black hole solutions featuring short- and long-range modifications. These ones are achieved through a Yukawa-like gravitational potential modification and a nonsingular electric potential incorporation. Th
Externí odkaz:
http://arxiv.org/abs/2401.15211
Autor:
Diaz-Anichtchenko, D., Santamaria-Perez, D., Marqueno, T., Pellicer-Porres, J., Ruiz-Fuertes, J., Ribes, R., Ibanez, J., Achary, S. N., Popescu, C., Errandonea, D.
Publikováno v:
Journal of Alloys and Compounds 837, 2020, 155505
We report a study of the high-pressure structural behavior of ZnV2O6, Zn2V2O7, and Zn3V2O8, which has been explored by means of synchrotron powder x-ray diffraction. We found that ZnV2O6 and Zn3V2O8 remain in the ambient-pressure structure up to 15 G
Externí odkaz:
http://arxiv.org/abs/2401.13440
Autor:
Pellicer-Guridi, Ruben, Custers, Koen, Solozabal-Aldalur, Joseba, Brodolin, Alexey, Francis, Jason T., Varga, Miguel, Casanova, Jorge, Paulides, Margarethus M., Molina-Terriza, Gabriel
We present an easily reproducible inexpensive microwave antenna that can generate a strong and homogeneous magnetic field of arbitrary polarization, which enables fast and coherent control of electron spins over a large volume. Unlike preceding works
Externí odkaz:
http://arxiv.org/abs/2401.11986