Zobrazeno 1 - 10
of 33 764
pro vyhledávání: '"P. Estrada"'
Autor:
Estrada-Jimenez, Juan Carlos, Farre-Guijarro, Valdemar Ramon, Alvarez-Paredes, Diana Carolina, Watrinet, Marie-Laure
Operational data in next-generation networks offers a valuable resource for Mobile Network Operators to autonomously manage their systems and predict potential network issues. Machine Learning and Digital Twin can be applied to gain important insight
Externí odkaz:
http://arxiv.org/abs/2411.11034
Autor:
Kowald, Dominik, Scher, Sebastian, Pammer-Schindler, Viktoria, Müllner, Peter, Waxnegger, Kerstin, Demelius, Lea, Fessl, Angela, Toller, Maximilian, Estrada, Inti Gabriel Mendoza, Simic, Ilija, Sabol, Vedran, Truegler, Andreas, Veas, Eduardo, Kern, Roman, Nad, Tomislav, Kopeinik, Simone
Artificial intelligence (AI) technologies (re-)shape modern life, driving innovation in a wide range of sectors. However, some AI systems have yielded unexpected or undesirable outcomes or have been used in questionable manners. As a result, there ha
Externí odkaz:
http://arxiv.org/abs/2411.09973
We analyze the proton$\text{-}$box contribution to the hadronic light$\text{-}$by$\text{-}$light part of the muon's anomalous magnetic moment, which is the first reported baryonic contribution to this piece. We follow the quark$\text{-}$loop analysis
Externí odkaz:
http://arxiv.org/abs/2411.07115
Yttrium calcium aluminate, with the formula CaYAl3O7, has been extensively researched due to its remarkable luminescent properties when doped or co-doped. Additionally, it exhibits exceptional piezoelectric properties at high temperatures. However, t
Externí odkaz:
http://arxiv.org/abs/2411.06143
Autor:
Rentería-Estrada, David F.
Understanding the cancellation of ultraviolet and infrared singularities in perturbative quantum field theory is of central importance for the development and automation of various theoretical tools that make accurate predictions for observables at h
Externí odkaz:
http://arxiv.org/abs/2411.05594
A theory of ordinal powers of the ideal $\mathfrak{g}_{\mathcal{S}}$ of $\mathcal{S}$-ghost morphisms is developed by introducing for every ordinal $\lambda$, the $\lambda$-th inductive power $\mathcal{J}^{(\lambda)}$ of an ideal $\mathcal{J}.$ The G
Externí odkaz:
http://arxiv.org/abs/2411.05250
The growing power of data science can play a crucial role in addressing social discrimination, necessitating nuanced understanding and effective mitigation strategies of potential biases. Data Science Looks At Discrimination (dsld) is an R and Python
Externí odkaz:
http://arxiv.org/abs/2411.04228
Autor:
Estrada, Milko
In recent years, black hole (BH) solutions with an integrable singularity have garnered significant attention as alternatives to regular black holes (RBH). In these models, similarly to RBHs, an object would not undergo spaghettification when approac
Externí odkaz:
http://arxiv.org/abs/2411.01253
Autor:
Bloch, Itay M., Botti, Ana M., Cababie, Mariano, Cancelo, Gustavo, Cervantes-Vergara, Brenda A., Daal, Miguel, Desai, Ansh, Drlica-Wagner, Alex, Essig, Rouven, Estrada, Juan, Etzion, Erez, Moroni, Guillermo Fernandez, Holland, Stephen E., Kehat, Jonathan, Lawson, Ian, Luoma, Steffon, Orly, Aviv, Perez, Santiago E., Rodrigues, Dario, Saffold, Nathan A., Scorza, Silvia, Sofo-Haro, Miguel, Stifter, Kelly, Tiffenberg, Javier, Uemura, Sho, Villalpando, Edgar Marrufo, Volansky, Tomer, Winkel, Federico, Wu, Yikai, Yu, Tien-Tien
We present results from data acquired by the SENSEI experiment at SNOLAB after a major upgrade in May 2023, which includes deploying 16 new sensors and replacing the copper trays that house the CCDs with a new light-tight design. We observe a single-
Externí odkaz:
http://arxiv.org/abs/2410.18716
We study an exactly solvable random walk model with long-range memory on arbitrary networks. The walker performs unbiased random steps to nearest-neighbor nodes and intermittently resets to previously visited nodes in a preferential way, such that th
Externí odkaz:
http://arxiv.org/abs/2410.11814