Zobrazeno 1 - 10
of 386
pro vyhledávání: '"Larráyoz, P."'
Autor:
Jorge, Sebastian Gomez, Solsona, Jorge A., Busada, Claudio A., Aguirre-Larrayoz, Leire C., Martínez, M. Itsaso, Tapia-Otaegui, Gerardo
In this work, a non-linear controller designed using non-linear transformation linearization and feedback is proposed for an inverter connected to a weak grid through a single-stage inductive filter. The proposed strategy is self-synchronized, so tha
Externí odkaz:
http://arxiv.org/abs/2410.07102
Autor:
Larráyoz-Arrigote, Inés, Mendonca, Marcele O. K., Gonzalez-Garrido, Alejandro, Krivochiza, Jevgenij, Kumar, Sumit, Querol, Jorge, Grotz, Joel, Andrenacci, Stefano, Chatzinotas, Symeon
This paper delves into the application of Machine Learning (ML) techniques in the realm of 5G Non-Terrestrial Networks (5G-NTN), particularly focusing on symbol detection and equalization for the Physical Broadcast Channel (PBCH). As 5G-NTN gains pro
Externí odkaz:
http://arxiv.org/abs/2309.14923
Autor:
Fernando Serrano Larráyoz
Publikováno v:
Edad Media, Iss 25 (2024)
Externí odkaz:
https://doaj.org/article/0298cce4d13342c9b5addf0de4fc3c90
Autor:
Esther Prados de la Torre, Josefina Serrano, David Martínez-Cuadrón, Laura Torres, Claudia Sargas, Rosa Ayala, Cristina Bilbao-Sieyro, María Carmen Chillón, María José Larráyoz, Elena Soria, Clara Aparicio-Pérez, Juan M. Bergua, Teresa Bernal, Cristina Gil, Mar Tormo, Lorenzo Algarra, Juan M. Alonso-Domínguez, Eduardo Rodriguez-Arbolí, Pilar Martínez-Sanchez, Ana Oliva, Ana M. Colorado-Araujo, Carlos Rodríguez-Medina, Susana Vives, Lourdes Hermosín, Joaquín Martínez-López, Ramón García-Sanz, José A. Pérez-Simón, María José Calasanz, María Teresa Gómez-Casares, Eva Barragán, Joaquín Sánchez-García J, Pau Montesinos
Publikováno v:
Haematologica, Vol 999, Iss 1 (2024)
Not available.
Externí odkaz:
https://doaj.org/article/88d6909b8970413f8083d9449f6245ae
Uncertainty Quantification (UQ) is a booming discipline for complex computational models based on the analysis of robustness, reliability and credibility. UQ analysis for nonlinear crash models with high dimensional outputs presents important challen
Externí odkaz:
http://arxiv.org/abs/2103.16202
Uncertainty Quantification (UQ) is a key discipline for computational modeling of complex systems, enhancing reliability of engineering simulations. In crashworthiness, having an accurate assessment of the behavior of the model uncertainty allows red
Externí odkaz:
http://arxiv.org/abs/2102.07673
The Inertia Relief (IR) technique is widely used by industry and produces equilibrated loads allowing to analyze unconstrained systems without resorting to the more expensive full dynamic analysis. The main goal of this work is to develop a computati
Externí odkaz:
http://arxiv.org/abs/2012.01961
Akademický článek
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Autor:
Claudia Sargas, Rosa Ayala, María J. Larráyoz, María C. Chillón, Eduardo Rodriguez-Arboli, Cristina Bilbao, Esther Prados de la Torre, David Martínez-Cuadrón, Rebeca Rodríguez-Veiga, Blanca Boluda, Cristina Gil, Teresa Bernal, Juan Bergua, Lorenzo Algarra, Mar Tormo, Pilar Martínez-Sánchez, Elena Soria, Josefina Serrano, Juan M. Alonso-Dominguez, Raimundo García, María Luz Amigo, Pilar Herrera-Puente, María J. Sayas, Esperanza Lavilla-Rubira, Joaquín Martínez-López, María J. Calasanz, Ramón García-Sanz, José A. Pérez-Simón, María T. Gómez Casares, Joaquín Sánchez-García, Eva Barragán, Pau Montesinos, PETHEMA cooperative study group
Publikováno v:
Blood Cancer Journal, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract Next-Generation Sequencing is needed for the accurate genetic risk stratification of acute myeloid leukemia according to European LeukemiaNet (ELN) guidelines. We validated and compared the 2022 ELN risk classification in a real-life cohort
Externí odkaz:
https://doaj.org/article/922c45afad2e435b8c679c0aca4ae8f0
Akademický článek
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