Zobrazeno 1 - 10
of 2 034
pro vyhledávání: '"P. A. López-Pérez"'
To address an ever-increasing demand for ubiquitous high-speed connectivity, mobile networks have intensified their deployment process. However, achieving this target has proven to be a challenge and has led to a surge in overall energy consumption.
Externí odkaz:
http://arxiv.org/abs/2410.06700
Autor:
Piñeiro-Martín, Andrés, García-Mateo, Carmen, Docío-Fernández, Laura, López-Pérez, María del Carmen, Rehm, Georg
Publikováno v:
Proceedings of Interspeech 2024
This paper addresses the challenge of integrating low-resource languages into multilingual automatic speech recognition (ASR) systems. We introduce a novel application of weighted cross-entropy, typically used for unbalanced datasets, to facilitate t
Externí odkaz:
http://arxiv.org/abs/2409.16954
In this article, we introduce a method to optimize 5G massive multiple-input multiple-output (mMIMO) connectivity for unmanned aerial vehicles (UAVs) on aerial highways through strategic cell association. UAVs operating in 3D space encounter distinct
Externí odkaz:
http://arxiv.org/abs/2409.01812
Optimizing the design, performance, and resource efficiency of wireless networks (WNs) necessitates the ability to discern Line of Sight (LoS) and Non-Line of Sight (NLoS) scenarios across diverse applications and environments. Unmanned Aerial Vehicl
Externí odkaz:
http://arxiv.org/abs/2405.16697
Due to an ever-expansive network deployment, numerous questions are being raised regarding the energy consumption of the mobile network. Recently, Non-Terrestrial Networks (NTNs) have proven to be a useful, and complementary solution to Terrestrial N
Externí odkaz:
http://arxiv.org/abs/2405.14053
Millimeter-wave (mmWave) networks, integral to 5G communication, offer a vast spectrum that addresses the issue of spectrum scarcity and enhances peak rate and capacity. However, their dense deployment, necessary to counteract propagation losses, lea
Externí odkaz:
http://arxiv.org/abs/2405.09528
Autor:
Martinez-Murcia, Francisco Jesus, Ortiz, Andrés, Górriz, Juan Manuel, Ramírez, Javier, Lopez-Perez, Pedro Javier, López-Zamora, Miguel, Luque, Juan Luis
Publikováno v:
INT J NEURAL SYST 30 (7), 2020, 2050037
The Temporal Sampling Framework (TSF) theorizes that the characteristic phonological difficulties of dyslexia are caused by an atypical oscillatory sampling at one or more temporal rates. The LEEDUCA study conducted a series of Electroencephalography
Externí odkaz:
http://arxiv.org/abs/2311.13876
Autor:
Frequencies, Committee on Radio Astronomy, Winkel, Benjamin, Garrington, Simon, Colomer, Francesco, Madkour, Waleed, Slowikowska, Agnieszka, Bolli, Pietro, Lindqvist, Michael, López-Pérez, José Antonio, Tangen, Leif Morten, Thomas, Ivan, Thomasson, Peter, Witvers, Roel, McCauley, Joe, Bautista, Marta, Bergano, Miguel, Bezrukovs, Vladislavs, Giovanardi, Fabio, Hase, Hayo, Jiricka, Karel, Józsa, Gyula I. G., Kallunki, Juha, Marqué, Christophe, McKay, Derek, Murk, Axel, Pietu, Vincent, Tornatore, Vincenza, Sethole, Busang, Soida, Marian, Sorokin, Boris, Tan, Gie Han, Tiplady, Adrian, Tóth, L. Viktor, Di Vruno, Federico, Wampfler, Susanne, Williams, Andrew, Yerin, Serge, Bray, Justin, Jessner, Axel, Gizani, Nectaria, Monstein, Christian, Peel, Mike, Ferreira, João Salmim, Smith, Harry, Veldes, Giorgios P., Wolak, Pawel
The Committee on Radio Astronomy Frequencies (CRAF) is an Expert Committee of the European Science Foundation. It aims to provide a cost-effective single voice on frequency protection issues for European radio astronomy observatories and research ins
Externí odkaz:
http://arxiv.org/abs/2310.13407
Autor:
Akhtarshenas, Azim, Vahedifar, Mohammad Ali, Ayoobi, Navid, Maham, Behrouz, Alizadeh, Tohid, Ebrahimi, Sina, López-Pérez, David
Robust machine learning (ML) models can be developed by leveraging large volumes of data and distributing the computational tasks across numerous devices or servers. Federated learning (FL) is a technique in the realm of ML that facilitates this goal
Externí odkaz:
http://arxiv.org/abs/2310.05269
In past years, non-terrestrial networks (NTNs) have emerged as a viable solution for providing ubiquitous connectivity for future wireless networks due to their ability to reach large geographical areas. However, the efficient integration and operati
Externí odkaz:
http://arxiv.org/abs/2310.02002