output
20172026
most citedA proposal for a low-frequency axion search in the 1-2 eV range and below with the BabyIAXO magnet

28 citations

13 papers

cs.CV2026

FP-THD: Full page transcription of historical documents

H Neji, J Nogueras-Iso, J Lacasta +2

The transcription of historical documents written in Latin in XV and XVI centuries has special challenges as it must maintain the characters and special symbols that have distinct…

cs.RO2024★ 4 cited

From Underground Mines to Offices: A Versatile and Robust Framework for Range-Inertial SLAM

Lorenzo Montano-Oliván, Julio A. Placed, Luis Montano +1

Simultaneous Localization and Mapping (SLAM) is an essential component of autonomous robotic applications and self-driving vehicles, enabling them to understand and operate in thei…

cs.RO2024★ 8 cited

G-Loc: Tightly-coupled Graph Localization with Prior Topo-metric Information

Lorenzo Montano-Oliván, Julio A. Placed, Luis Montano +1

Localization in already mapped environments is a critical component in many robotics and automotive applications, where previously acquired information can be exploited along with…

eess.SY2024

Dynamic modeling and predictive control of a microfluidic system

Jorge Vicente Martinez, Edgar Ramirez-Laboreo, Pablo Calderon Gil

Microfluidics, the study of fluids in microscopic channels, has led to important advances in fields as diverse as microelectronics, biotechnology and chemistry. Microfluidic resear…

cs.RO2024★ 7 cited

Scale-free vision-based aerial control of a ground formation with hybrid topology

Miguel Aranda, Youcef Mezouar, Gonzalo López-Nicolás +1

We present a novel vision-based control method to make a group of ground mobile robots achieve a specified formation shape with unspecified size. Our approach uses multiple aerial…

eess.SY2023★ 1 cited

ROM-Based Stochastic Optimization for a Continuous Manufacturing Process

Raul Cruz-Oliver, Luis Monzon, Edgar Ramirez-Laboreo +1

This paper proposes a model-based optimization method for the production of automotive seals in an extrusion process. The high production throughput, coupled with quality constrain…

physics.ins-det2023★ 28 cited

A proposal for a low-frequency axion search in the 1-2 eV range and below with the BabyIAXO magnet

S. Ahyoune, A. Álvarez Melcón, S. Arguedas Cuendis +27

In the near future BabyIAXO will be the most powerful axion helioscope, relying on a custom-made magnet of two bores of 70 cm diameter and 10 m long, with a total available magneti…

cs.LG2022★ 18 cited

Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems

Quercus Hernández, Alberto Badías, Francisco Chinesta +1

We develop inductive biases for the machine learning of complex physical systems based on the port-Hamiltonian formalism. To satisfy by construction the principles of thermodynamic…

cs.GR2022★ 26 cited

Thermodynamics-informed neural networks for physically realistic mixed reality

Quercus Hernández, Alberto Badías, Francisco Chinesta +1

The imminent impact of immersive technologies in society urges for active research in real-time and interactive physics simulation for virtual worlds to be realistic. In this conte…

cs.SD2021★ 19 cited

Generalizing AUC Optimization to Multiclass Classification for Audio Segmentation With Limited Training Data

Pablo Gimeno, Victoria Mingote, Alfonso Ortega +2

Area under the ROC curve (AUC) optimisation techniques developed for neural networks have recently demonstrated their capabilities in different audio and speech related tasks. Howe…

cs.NI2020★ 4 cited

Empirically Characterizing the Buffer Behaviour of Real Devices

Luis Sequeira, Julian Fernandez-Navajas, Jose Saldana +1

All the routers include a buffer in order to enqueue packets waiting to be transmitted. The behaviour of the routers' buffer is of primary importance when studying network traffic,…

cs.SD2019

An improved uncertainty propagation method for robust i-vector based speaker recognition

Dayana Ribas, Emmanuel Vincent

The performance of automatic speaker recognition systems degrades when facing distorted speech data containing additive noise and/or reverberation. Statistical uncertainty propagat…

nlin.AO2017★ 1 cited

Criticality as It Could Be: organizational invariance as self-organized criticality in embodied agents

Miguel Aguilera, Manuel G. Bedia

This paper outlines a methodological approach for designing adaptive agents driving themselves near points of criticality. Using a synthetic approach we construct a conceptual mode…