Zobrazeno 1 - 10
of 3 380
pro vyhledávání: '"JIMENEZ, JUAN A."'
Autor:
Farré, Valdemar, Estrada-Jiménez, Juan C., Sánchez, José D. Vega, Vasquez-Peralvo, Juan A., Chatzinotas, Symeon
In recent years, the fifth-generation (5G) mobile network has been developed worldwide to remarkably improve network performance and spectral efficiency. Very recently, reconfigurable intelligent surfaces (RISs) technology has emerged as an innovativ
Externí odkaz:
http://arxiv.org/abs/2412.05385
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:
Bautista, Jesús, Acuaviva, Antonio, Hinojosa, José, Yao, Weijia, Jiménez, Juan, de Marina, Héctor García
We propose a self-contained, resilient and fully distributed solution for locating the maximum of an unknown 3D scalar field using a swarm of robots that travel at constant speeds. Unlike conventional reactive methods relying on gradient information,
Externí odkaz:
http://arxiv.org/abs/2410.15921
Autor:
Balan, Raluca M., Jiménez, Juan J.
In this article, we examine a stochastic partial differential equation (SPDE) driven by a symmetric $\alpha$-stable (S$\alpha$S) L\'evy noise, that is multiplied by a linear function $\sigma(u)=u$ of the solution. The solution is interpreted in the m
Externí odkaz:
http://arxiv.org/abs/2409.12286
We present an algorithm to solve the problem of locating the source, or maxima, of a scalar field using a robot swarm. We demonstrate how the robot swarm determines its direction of movement to approach the source using only field intensity measureme
Externí odkaz:
http://arxiv.org/abs/2408.10152
Autor:
Nikooroo, Mohammadsaleh, Estrada-Jimenez, Juan, Machalek, Aurel, Harri, Jerome, Engel, Thomas, Turcanu, Ion
New Radio (NR) Vehicle-to-Everything (V2X) Sidelink (SL), an integral part of the 5G NR standard, is expected to revolutionize the automotive and rail industries by enabling direct and low-latency exchange of critical information between traffic part
Externí odkaz:
http://arxiv.org/abs/2404.17532
Autor:
Mediavilla-Martinez, Irene, Kramberger, Christian, Dadgostar, Shabnam, Jimenez, Juan, Ayala, Paola, Pichler, Thomas, Manjon, Francisco J., Rodriguez-Hernandez, Placida, Muñoz, Alfonso, Serebryanaya, Nadezhda, Buga, Sergei, Serrano, Jorge
Bismuth selenide, a benchmark topological insulator, grows in a trigonal structure at ambient conditions and exhibits a number of enticing properties related to the formation of Dirac surface states. Besides this polytype, a metastable orthorhombic m
Externí odkaz:
http://arxiv.org/abs/2402.07256
Autor:
Jiménez, Juan J.
In this article, we study the stochastic wave equation in spatial dimensions $d \le 2$ with multiplicative L\'evy noise that can have infinite $p$-th moments. Using the past light-cone property of the wave equation, we prove the existence and uniquen
Externí odkaz:
http://arxiv.org/abs/2310.05907
We present a solution for locating the source, or maximum, of an unknown scalar field using a swarm of mobile robots. Unlike relying on the traditional gradient information, the swarm determines an ascending direction to approach the source with arbi
Externí odkaz:
http://arxiv.org/abs/2309.02937
Autor:
Polo, Felipe Maia, Izbicki, Rafael, Lacerda Jr, Evanildo Gomes, Ibieta-Jimenez, Juan Pablo, Vicente, Renato
Publikováno v:
Information Sciences (2023): 119612
Supervised learning techniques typically assume training data originates from the target population. Yet, in reality, dataset shift frequently arises, which, if not adequately taken into account, may decrease the performance of their predictors. In t
Externí odkaz:
http://arxiv.org/abs/2205.08340