output
20142026
most citedData-Driven Methods for Present and Future Pandemics: Monitoring, Modelling and Managing

67 citations

34 papers

astro-ph.SR2026

Investigating the electron temperature of [Ar IV] in planetary nebulae using the DESIRED database

J. García-Rojas, E. Reyes-Rodríguez, J. E. Méndez-Delgado +9

(Abridged) We investigate the behaviour of the electron temperature derived from [Ar IV] lines, Te([Ar IV]), in a sample of PNe to characterize the thermal structure of high-excita…

math.HO2026★ 20 cited

A historical perspective of Tian's evolution algebras

Manuel Ceballos, Raúl Falcón, Juan Núñez-Valdés +1

Even if it has been less than a decade and a half since Tian introduced his concept of evolution algebras to represent algebraically non-Mendelian rules in Genetics, their study is…

astro-ph.GA2025

Chlorine abundances in star-forming regions of the local Universe

M. Orte-García, C. Esteban, J. E. Méndez-Delgado +4

Aims. We study the behaviour of Cl abundance and its ratios with respect to O, S and Ar abundances in a sample of more than 200 spectra of Galactic and extragalactic H ii regions a…

cs.RO2025★ 20 cited

Coordinated control of multiple autonomous surface vehicles: challenges and advances -- a systematic review

Manuel Gantiva Osorioa, Carmelina Ierardia, Isabel Jurado Floresa +2

The increasing use and implementation of Autonomous Surface Vessels (ASVs) for various activities in maritime environments is expected to drive a rise in developments and research…

eess.SP2025

Smart Sampling Strategies for Wireless Industrial Data Acquisition

Marcos Soto

In industrial environments, data acquisition accuracy is crucial for process control and optimization. Wireless telemetry has proven to be a valuable tool for improving efficiency…

eess.SY2025★ 12 cited

Driver Behavior Soft-Sensor Based on Neurofuzzy Systems and Weighted Projection on Principal Components

Juan Manuel Escaño, Miguel A. Ridao-Olivar, Carmelina Ierardi +2

This work has as main objective the development of a soft-sensor to classify, in real time, the behaviors of drivers when they are at the controls of a vehicle. Efficient classific…

math.CA2025

The Laguerre constellation of classical orthogonal Polynomials

Roberto S. Costas-Santos

A linear functional is classical if there exist polynomials, and , with , , such that , where ${\ma…

cs.LG2024★ 4 cited

Splitting criteria for ordinal decision trees: an experimental study

Rafael Ayllón-Gavilán, Francisco José Martínez-Estudillo, David Guijo-Rubio +2

Ordinal Classification (OC) addresses those classification tasks where the labels exhibit a natural order. Unlike nominal classification, which treats all classes as mutually exclu…

astro-ph.IM2024★ 3 cited

Magnetic Field Simulation and Correlated Low-Frequency Noise Subtraction for an In-Orbit Demonstrator of Magnetic Measurements

Cristian Maria-Moreno, Ignacio Mateos, Guillermo Pacheco-Ramos +5

In recent years, nanosatellites have revolutionized the space sector due to their significant economic and time-saving advantages. As a result, they have fostered the testing of ad…

math.DS2024★ 5 cited

Practical identification approach for the actuation dynamics of autonomous surface vehicles with minimal instrumentation: extended version

Thalia Morel, Luis Orihuela, Christophe Combastel +1

A practical method for identifying the propeller model and inertia matrix of a marine Autonomous Surface Vehicle (ASV) is proposed in this work. Special attention is paid to limiti…

math.CA2024

On Polar Jacobi Polynomials

Roberto S. Costas-Santos

In the present work, we investigate certain algebraic and differential properties of the orthogonal polynomials with respect to a discrete-continuous Sobolev-type inner product def…

astro-ph.IM2024

Tilt-to-length coupling in LISA Pathfinder: long-term stability

M Armano, H Audley, J Baird +75

The tilt-to-length coupling during the LISA Pathfinder mission has been numerically and analytically modeled for particular timespans. In this work, we investigate the long-term st…

math.OC2024★ 8 cited

MINLP-based hybrid strategy for operating mode selection of TES-backed-up refrigeration systems

G. Bejarano, D. Rodríguez, J. M. Lemos +2

This brief deals with the satisfaction of the daily cooling demand by a hybrid system that consists of a vapour-compression refrigeration cycle and a thermal energy storage (TES) u…

math.OC2024★ 8 cited

Optimal control analysis and Practical NMPC applied to refrigeration systems

G. Bejarano, M. G. Ortega, J. E. Normey-Rico +1

This work is focused on optimal control of mechanical compression refrigeration systems. A reduced-order state-space model based on the moving boundary approach is proposed for the…

eess.SY2024★ 44 cited

Nonlinear model predictive control-based guidance law for path following of unmanned surface vehicles

G. Bejarano, J. M. Manzano, J. R. Salvador +1

This work proposes a nonlinear model predictive control-based guidance strategy for unmanned surface vehicles, focused on path following. The application of this strategy, in addit…

astro-ph.IM2023★ 21 cited

Tilt-to-length coupling in LISA Pathfinder: a data analysis

M Armano, H Audley, J Baird +76

We present a study of the tilt-to-length coupling noise during the LISA Pathfinder mission and how it depended on the system's alignment. Tilt-to-length coupling noise is the unwan…

cs.LG2023★ 2 cited

Trainable and Explainable Simplicial Map Neural Networks

Eduardo Paluzo-Hidalgo, Miguel A. Gutiérrez-Naranjo, Rocio Gonzalez-Diaz

Simplicial map neural networks (SMNNs) are topology-based neural networks with interesting properties such as universal approximation ability and robustness to adversarial examples…

cs.SI2022★ 12 cited

Known by the company we keep: `Triadic influence' as a proxy for compatibility in social relationships

Miguel Ruíz-García, Juan Ozaita, María Pereda +4

Networks of social interactions are the substrate upon which civilizations are built. Often, we create new bonds with people that we like or feel that our relationships are damaged…

astro-ph.IM2022★ 35 cited

Transient acceleration events in LISA Pathfinder data: properties and possible physical origin

LISA Pathfinder Collaboration

We present an in depth analysis of the transient events, or glitches, detected at a rate of about one per day in the differential acceleration data of LISA Pathfinder. We show that…

math.DS2022★ 6 cited

Distributed Hybrid Observer With Prescribed Convergence Rate for a Linear Plant Using Multi-Hop Decomposition

Riccardo Bertollo, Pablo Millán, Luis Orihuela +2

With a continuous-time formulation of the multihop decomposition, we propose a distributed hybrid observer for a sensor network where the plant and local observers run in continuou…

eess.SY2021★ 11 cited

Velocity and Disturbance Robust Non-linear Estimator for Autonomous Surface Vehicles with Reduced Sensing Capabilities

Guillermo Bejarano, Sufiyan N-Yo, Luis Orihuela

This paper presents a robust non-linear state estimator for autonomous surface vehicles, where the movement is restricted to the horizontal plane. It is assumed that only the vehic…

eess.SY2021★ 2 cited

Oracle-based economic predictive control

Jose Maria Manzano, David Muñoz de la Peña, Daniel Limon

This paper presents an economic model predictive controller, under the assumption that the only measurable signal of the plant is the economic cost to be minimized. In order to for…

eess.SY2021★ 67 cited

Data-Driven Methods for Present and Future Pandemics: Monitoring, Modelling and Managing

Teodoro Alamo, Daniel G. Reina, Pablo Millán Gata +2

This survey analyses the role of data-driven methodologies for pandemic modelling and control. We provide a roadmap from the access to epidemiological data sources to the control o…

physics.soc-ph2020★ 22 cited

Paid and hypothetical time preferences are the same: Lab, field and online evidence

Pablo Brañas-Garza, Diego Jorrat, Antonio M. Espín +1

The use of hypothetical instead of real decision-making incentives remains under debate after decades of economic experiments. Standard incentivized experiments involve substantial…