Zobrazeno 1 - 10
of 15 475
pro vyhledávání: '"Santamaria, P."'
Autor:
Sanchez-Manzano, D., Humbert, V., Gutiérrez-Llorente, A., Zhang, D., Santamaria, J., Bibes, M., Iglesias, L., Villegas, Javier E.
Characterizing the dimensionality of the superconducting state in the infinite-layer (IL) nickelates is crucial to understand its nature. Most studies have addressed the problem by studying the anisotropy of the upper critical fields. Yet, the domina
Externí odkaz:
http://arxiv.org/abs/2410.14341
Autor:
Codella, Noel C. F., Jin, Ying, Jain, Shrey, Gu, Yu, Lee, Ho Hin, Abacha, Asma Ben, Santamaria-Pang, Alberto, Guyman, Will, Sangani, Naiteek, Zhang, Sheng, Poon, Hoifung, Hyland, Stephanie, Bannur, Shruthi, Alvarez-Valle, Javier, Li, Xue, Garrett, John, McMillan, Alan, Rajguru, Gaurav, Maddi, Madhu, Vijayrania, Nilesh, Bhimai, Rehaan, Mecklenburg, Nick, Jain, Rupal, Holstein, Daniel, Gaur, Naveen, Aski, Vijay, Hwang, Jenq-Neng, Lin, Thomas, Tarapov, Ivan, Lungren, Matthew, Wei, Mu
In this work, we present MedImageInsight, an open-source medical imaging embedding model. MedImageInsight is trained on medical images with associated text and labels across a diverse collection of domains, including X-Ray, CT, MRI, dermoscopy, OCT,
Externí odkaz:
http://arxiv.org/abs/2410.06542
Autor:
Scomparin, Luca, Caselle, Michele, Garcia, Andrea Santamaria, Xu, Chenran, Blomley, Edmund, Dritschler, Timo, Mochihashi, Akira, Schuh, Marcel, Steinmann, Johannes L., Bründermann, Erik, Kopmann, Andreas, Becker, Jürgen, Müller, Anke-Susanne, Weber, Marc
The commissioning and operation of future large-scale scientific experiments will challenge current tuning and control methods. Reinforcement learning (RL) algorithms are a promising solution thanks to their capability of autonomously tackling a cont
Externí odkaz:
http://arxiv.org/abs/2409.16177
We demonstrate spectroscopy of incoherent light with sub-diffraction resolution. In a proof-of-principle experiment we analyze the spectrum of a pair of incoherent point-like sources whose separation is below the diffraction limit. The two sources mi
Externí odkaz:
http://arxiv.org/abs/2409.01190
Visual analytics is essential for studying large time series due to its ability to reveal trends, anomalies, and insights. DeepVATS is a tool that merges Deep Learning (Deep) with Visual Analytics (VA) for the analysis of large time series data (TS).
Externí odkaz:
http://arxiv.org/abs/2408.04692
Autor:
Soleymani, Mohammad, Santamaria, Ignacio, Jorswieck, Eduard, Di Renzo, Marco, Gutiérrez, Jesús
In this paper, we develop energy-efficient schemes for multi-user multiple-input single-output (MISO) broadcast channels (BCs), assisted by reconfigurable intelligent surfaces (RISs). To this end, we consider three architectures of RIS: locally passi
Externí odkaz:
http://arxiv.org/abs/2408.04271
Autor:
Falcón-Gómez, Enderson, De Falco, Vittorio, Abdalmalak, Kerlos Atia, Amor-Martín, Adrián, De La Rubia, Valentín, Santamaría-Botello, Gabriel, Muñoz, Luis Enrique García
We demonstrate that a fully metallic and air-filled geodesic waveguide can be employed as an analog electromagnetic model of a static and spherically symmetric gravitational field. By following the Plebanski formalism, a space-time metric of the afor
Externí odkaz:
http://arxiv.org/abs/2408.01136
Autor:
Santamaria-Miranda, Alejandro, de Gregorio-Monsalvo, Itziar, Ohashi, Nagayoshi, Tobin, John J., Sai, Jinshi, Jorgensen, Jes K., Aso, Yusuke, Lin, Zhe-Yu Daniel, Flores, Christian, Kido, Miyu, Koch, Patrick M., Kwon, Woojin, Lee, Chang Won, Li, Zhi-Yun, Looney, Leslie W., Plunkett, Adele L., Takakuwa, Shigehisa, Hoff, Merel L. R van t, Williams, Jonathan P., Yen, Hsi-Wei
Publikováno v:
A&A 690, A46 (2024)
We present the results of the ALMA Large Program Early Planet Formation in Embedded disks observations of the Class 0 protostar GSS30 IRS3. Our observations included 1.3 mm continuum with a resolution of 0.''05 (7.8 au) and several molecular species
Externí odkaz:
http://arxiv.org/abs/2407.20885
Publikováno v:
IEEE Transactions on Signal Processing (2024)
Recent work by Ram\'irez et al. [2] has introduced Multi-Channel Factor Analysis (MFA) as an extension of factor analysis to multi-channel data that allows for latent factors common to all channels as well as factors specific to each channel. This pa
Externí odkaz:
http://arxiv.org/abs/2407.18896
Autor:
Relancio, J. J., Santamaría-Sanz, L.
In this work, we make new developments in generic cotangent bundle geometries, depending on all phase-space variables. In particular, we will focus on the so-called generalized Hamilton spaces, discussing how the main ingredients of this geometrical
Externí odkaz:
http://arxiv.org/abs/2407.18819