Zobrazeno 1 - 10
of 5 236
pro vyhledávání: '"Romero José"'
Generalized parameter estimation-based observers have proven very successful to deal with systems described in state-affine form. In this paper, we enlarge the domain of applicability of this method proposing an algebraic procedure to immerse} an $n$
Externí odkaz:
http://arxiv.org/abs/2411.10965
This paper proposes a novel approach to solving nonlinear programming problems using a sharp augmented Lagrangian method with a smoothing technique. Traditional sharp augmented Lagrangian methods are known for their effectiveness but are often hinder
Externí odkaz:
http://arxiv.org/abs/2410.03050
Autor:
Royo, Pedro, Muñoz, Elkin, Romero, José-Enrique, Manjón, José-Vicente, Roig, Catalina, Fernández-Delgado, Carmen, Muñiz, Nuria, Requena, Antonio, Garrido, Nicolás, Velasco, Juan Antonio García, Pellicer, Antonio
Ultrasound follicle tracking is an important part of cycle monitoring. OSIS Ovary (Online System for Image Segmentation for the Ovary) has been conceived aiming to aid the management of the workflow in follicle tracking, one of the most iterative pro
Externí odkaz:
http://arxiv.org/abs/2407.18818
We build on our recent results on the Lipschitz dependence of the extreme spectral values of one-parameter families of pseudodifferential operators with symbols in a weighted Sj\"ostrand class. We prove that larger symbol classes lead to H\"older con
Externí odkaz:
http://arxiv.org/abs/2407.18065
We study zero sets of twisted stationary Gaussian random functions on the complex plane, i.e., Gaussian random functions that are stochastically invariant under the action of the Weyl-Heisenberg group. This model includes translation invariant Gaussi
Externí odkaz:
http://arxiv.org/abs/2406.20003
Large Language Models (LLMs) have immense potential to transform the telecommunications industry. They could help professionals understand complex standards, generate code, and accelerate development. However, traditional LLMs struggle with the preci
Externí odkaz:
http://arxiv.org/abs/2406.07053
Publikováno v:
Proc. 2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), pp. 66-69
Test case prioritisation (TCP) is a critical task in regression testing to ensure quality as software evolves. Machine learning has become a common way to achieve it. In particular, learning-to-rank (LTR) algorithms provide an effective method of ord
Externí odkaz:
http://arxiv.org/abs/2405.13786
Autor:
Hidalgo, Ethan Sanchez, Lozano, J. Xavier Salvat, Ayala-Romero, Jose A., Garcia-Saavedra, Andres, Li, Xi, Costa-Perez, Xavier
The virtualization of Radio Access Networks (vRAN) is well on its way to become a reality, driven by its advantages such as flexibility and cost-effectiveness. However, virtualization comes at a high price - virtual Base Stations (vBSs) sharing the s
Externí odkaz:
http://arxiv.org/abs/2405.02029
Publikováno v:
Engineering Applications of Artificial Intelligence, Volume 81, May 2019, Pages 14-28
Although metaheuristics have been widely recognized as efficient techniques to solve real-world optimization problems, implementing them from scratch remains difficult for domain-specific experts without programming skills. In this scenario, metaheur
Externí odkaz:
http://arxiv.org/abs/2402.18616
Automatic workflow composition (AWC) is a relevant problem in automated machine learning (AutoML) that allows finding suitable sequences of preprocessing and prediction models together with their optimal hyperparameters. This problem can be solved us
Externí odkaz:
http://arxiv.org/abs/2402.18505