Publications

Displaying 176 - 200 of 1227

Publication	Date
An Extremely Elongated Cloud Over Arsia Mons Volcano on Mars: I. Life Cycle Authors: Dmitrij Titov,Simon Wood,B. Gondet,Agustín Sánchez-Lavega,Eleni Ravanis,Daniela Tirsch,Jorge Hernández-Bernal,I. Ordonez-Etxeberria,R. Hueso,Ernst Hauber,R. Jaumann,Kyle Connour,T. del Río-Gaztelurrutia,Alejandro Cardesín-Moinelo,Alejandro Cardesín-… AbstractWe report a previously unnoticed annually repeating phenomenon consisting of the daily formation of an extremely elongated cloud extending as far as 1,800 km westward from Arsia Mons. It takes place in the solar longitude (Ls) range of ∼220°–320°, around the Southern solstice. We study this… American Geophysical Union (AGU)	2021-03-01
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges Authors: Siham Tabik,Eneko Osaba,Daniel Molina,Aritz D. Martinez,Esther Villar-Rodriguez,Javier Del Ser,Francisco Herrera,Javier Poyatos 64 pages, 18 figures, under review for its consideration in Information Fusion journal Elsevier BV	2021-03-01
Equivalence between the DPG method and the exponential integrators for linear parabolic problems Authors: David Pardo,David Pardo,David Pardo,Judit Muñoz-Matute,Leszek Demkowicz The Discontinuous Petrov-Galerkin (DPG) method and the exponential integrators are two well established numerical methods for solving Partial Di fferential Equations (PDEs) and sti ff systems of Ordinary Di fferential Equations (ODEs), respectively. In this work, weapply the DPG method in the time… Elsevier BV	2021-03-01
From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability Authors: Ibai Laña,Javier J. Sanchez-Medina,Eleni I. Vlahogianni,Javier Del Ser Advances in Data Science permeate every field of Transportation Science and Engineering, resulting in developments in the transportation sector that are data-driven. Nowadays, Intelligent Transportation Systems (ITS) could be arguably approached as a “story” intensively producing and consuming… MDPI AG	2021-02-05
A large reproducible benchmark of ontology-based methods and word embeddings for word similarity Authors: Eneko Agirre,Josu Goikoetxea,Juan J. Lastra-Díaz,Ana García-Serrano,Mohamed Ben Aouicha,David Sánchez,Mohamed Ali Hadj Taieb Abstract This work is a companion reproducibility paper of the experiments and results reported in Lastra-Diaz et al. (2019a), which is based on the evaluation of a companion reproducibility dataset with the HESML V1R4 library and the long-term reproducibility tool called Reprozip. Human… Elsevier BV	2021-02-01
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey Authors: Khan Muhammad,Salman Khan,Javier Del Ser,Victor Hugo C. de Albuquerque Brain tumor is one of the most dangerous cancers in people of all ages, and its grade recognition is a challenging problem for radiologists in health monitoring and automated diagnosis. Recently, numerous methods based on deep learning have been presented in the literature for brain tumor… Institute of Electrical and Electronics Engineers (IEEE)	2021-02-01
Multi-model Meteorological and Aeolian Predictions for Mars 2020 and the Jezero Crater Region Authors: François Forget,R. J. Wilson,Daniel Viúdez-Moreiras,Agustín Sánchez-Lavega,Frank Daerden,Aymeric Spiga,M. de la Torre Juarez,Tanguy Bertrand,Mark I. Richardson,Lori Neary,Jorge Pla-Garcia,Jorge Pla-Garcia,Claire E. Newman,Ryan C. Sullivan,Melinda A.… AbstractNine simulations are used to predict the meteorology and aeolian activity of the Mars 2020 landing site region. Predicted seasonal variations of pressure and surface and atmospheric temperature generally agree. Minimum and maximum pressure is predicted at$\text{Ls}\sim 145^{\circ}$Ls∼145∘… Springer Science and Business Media LLC	2021-02-01
Innovation Policies and Big Data: Opportunities and Challenges Authors: Miren Nekane Bilbao,Javier Del Ser,Eva Arrilucea,Javier Herrera Innovation policies are considered to be one of the main tools to turn innovation into wealth, well-being and competitiveness in territories worldwide. However, given the ever-growing data-centered ecosystem where such policies coexist nowadays there is a founded suspicion that traditional methods… IOS Press	2021-01-22
A simulation method for the computation of the effective P-wave velocity in heterogeneous rocks Authors: Julen Álvarez-Aramberri,Julen Álvarez-Aramberri,Angel Javier Omella,Carlos Santos,Magdalena Strugaru,David Pardo,David Pardo,David Pardo,Vincent Darrigrand,Hector González International audience; We propose a set of numerical methods for the computation of the frequency-dependent effective primary wave (P-wave) velocity of heterogeneous rocks. We assume the rock's internal microstructure is provided by given micro-computed tomography (micro-CT) images. In the low/… Springer Science and Business Media LLC	2021-01-15
Error control and loss functions for the deep learning inversion of borehole resistivity measurements Authors: David Pardo,David Pardo,David Pardo,Javier Del Ser,Javier Del Ser,Jon Ander Rivera,Jon Ander Rivera,Carlos Torres-Verdín,Sebastián Ossandón,Artzai Picon,Victor M. Calo,Mostafa Shahriari AbstractDeep learning (DL) is a numerical method that approximates functions. Recently, its use has become attractive for the simulation and inversion of multiple problems in computational mechanics, including the inversion of borehole logging measurements for oil and gas applications. In this… Wiley	2021-01-04
Autofluorescence Image Reconstruction and Virtual Staining for In-Vivo Optical Biopsying Authors: Artzai Picon,Alfonso Medela,Luisa F. Sanchez-Peralta,Riccardo Cicchi,Roberto Bilbao,Domenico Alfieri,Andoni Elola,Ben Glover,Cristina L. Saratxaga Modern photonic technologies are emerging, allowing the acquisition of in-vivo endoscopic tissue imaging at a microscopic scale, with characteristics comparable to traditional histological slides, and with a label-free modality. This raises the possibility of an ‘optical biopsy’ to aid clinical… Institute of Electrical and Electronics Engineers (IEEE)	2021-01-01
Sensitivity and uncertainty analysis by discontinuous Galerkin of lock-in thermography for crack characterization Authors: David Pardo,David Pardo,David Pardo,R. Celorrio,Angel Javier Omella,Angel Javier Omella This work focuses on the characterization of narrow vertical cracks of nite size using optically excited lock-in thermography (OLT). To characterize these cracks, we need to solve an ill-posed inverse problem. As a previous step to the solution of this inverse problem, we propose a sensitivity… Elsevier BV	2021-01-01
Dust particle size, shape and optical depth during the 2018/MY34 martian global dust storm retrieved by MSL Curiosity rover Navigation Cameras Authors: H. Chen-Chen,S. Pérez-Hoyos,A. Sánchez-Lavega Martian planet-encircling dust storms or global dust storms (GDS), resulting from the combined influence of local and regional storms, are uncommon aperiodic phenomena: with an average frequency of approximately one every 3-4 MY, they produce a substantial rise in the atmospheric dust loading that… Elsevier BV	2021-01-01
A DPG-based time-marching scheme for linear hyperbolic problems Authors: Judit Muñoz-Matute,David Pardo,David Pardo,David Pardo,Leszek Demkowicz The Discontinuous Petrov-Galerkin (DPG) method is a widely employed discretization method for Partial Di fferential Equations (PDEs). In a recent work, we applied the DPG method with optimal test functions for the time integration of transient parabolic PDEs. We showed that the resulting DPG-based… Elsevier BV	2021-01-01
A Probabilistic Model and Capturing Device for Remote Simultaneous Estimation of Spectral Emissivity and Temperature of Hot Emissive Materials Authors: Artzai Picon,Aitor Alvarez-Gila,Jose Antonio Arteche,Gabriel A. Lopez,Asier Vicente Estimating the temperature of hot emissive samples (e.g. liquid slag) in the context of harsh industrial environments such as steelmaking plants is a crucial yet challenging task, which is typically addressed by means of methods that require physical contact. Current remote methods require… Institute of Electrical and Electronics Engineers (IEEE)	2021-01-01
LUNAR: Cellular automata for drifting data streams Authors: Jesus L. Lobo,Javier Del Ser,Javier Del Ser,Francisco Herrera 36 pages, 6 figures, 4 tables Elsevier BV	2021-01-01
Framing Lifelong Learning as Autonomous Deployment: Tune Once Live Forever Authors: Agirre, Eneko, E.,Jonsson, Anders,Larcher, Anthony International audience; Lifelong Learning in the context of Artificial Intelligence is a new paradigm that is still in its infancy. It refers to agents that are able to learn continuously, accumulating the knowledge learned in previous tasks and using it to help future learning. In this position… Springer Singapore	2021-01-01
Rank Aggregation for Non-stationary Data Streams Authors: Aritz Pérez,Jesus L. Lobo,Javier Del Ser,Ekhine Irurozki,Ekhine Irurozki 23 pages Springer International Publishing	2021-01-01
Vibration-Based SHM Strategy for a Real Time Alert System with Damage Location and Quantification Authors: Diego Zamora-Sánchez,Jesús Díez-Hernández,Carlos Jiménez-Fernández,Ana Fernández-Navamuel,David Pardo,David Pardo,Tomás Varona-Poncela,David Garcia-Sanchez We present a simple and fully automatable vibration-based Structural Health Monitoring (SHM) alert system. The proposed method consists in applying an Automated Frequency Domain Decomposition (AFDD) algorithm to obtain the eigenfrequencies and mode shapes in real time from acceleration measurements… Springer International Publishing	2021-01-01
Frequency domain modelling of a coupled system of floating structure and mooring Lines: An application to a wave energy converter Authors: Touzon, I.,Nava, V.,Gao, Z.,Petuya, V. Abstract Floating structures for single offshore renewable energy devices, i.e. wave energy converters, tend to be significantly smaller than those of the traditional offshore industry and the interaction between floater motions and mooring line dynamics become important. Installation sites are… Elsevier BV	2021-01-01
Detection of shockable rhythms using convolutional neural networks during chest compressions provided by a load distributing band Authors: Iraia Isasi,Jan-Åge Olsen,Lars Wik,Elisabete Aramendi,Unai Irusta Load Distributing Band (LDB) mechanical chest compression devices are used to treat out-of-hospital cardiac arrest (OHCA) patients. The artefacts that LDB chest compressions induce in the ECG impede a reliable shock/no-shock diagnosis, resulting in compression interruptions to analyze the ECG. The… Computing in Cardiology	2020-12-30
An Impedance-based Algorithm to Detect Ventilations During Cardiopulmonary Resuscitation Authors: Ahamed H. Idris,Elisabete Aramendi,He Wang,Xabier Jaureguibeitia,Unai Irusta Cardiopulmonary resuscitation (CPR) is a core therapy to treat out-of-hospital cardiac arrest (OHCA). Thoracic impedance (TI) can be used to assess ventilations during CPR, but the signal is also affected by chest compression (CC) artifacts. This study presents a method for TI-based ventilation… Computing in Cardiology	2020-12-30
Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation Authors: Haizea Lasa,Lars Wik,Jo Kramer-Johansen,Elisabete Aramendi,Trygve Eftestøl,Ali Bahrami Rad,Unai Irusta Monitoring the heart rhythm during out-of-hospital cardiac arrest (OHCA) is important to improve treatment quality. OHCA rhythms fall into five categories: asystole (AS), pulseless electrical activity (PEA), pulse-generating rhythms (PR), ventricular fibrillation (VF) and ventricular tachycardia (… Computing in Cardiology	2020-12-30
A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest Authors: Eirik Skogvoll,Jo Kramer-Johansen,Elisabete Aramendi,Lars Wik,Erik Alonso,Jan Terje Kvaløy,Ali Bahrami Rad,Trygve Eftestøl,Svein Erik Stokka,Unai Irusta,Trond Nordseth Cardiopulmonary resuscitation quality (CPRQ) parameters can be derived from electric signals obtained during resuscitation. We propose to model a probabilistic relationship between CPRQ parameters and the physiological response as judged by ECG-features, to guide therapy in a clinical context. A… Computing in Cardiology	2020-12-30
A Method to Detect Pauses for Ventilation During Cardiopulmonary Resuscitation Using the Thoracic Impedance Authors: Unai Irusta,Elisabete Aramendi,Ahamed H. Idris,Enrique Rueda Cardiac arrest is the main cause of death in developed countries. A good quality cardiopulmonary resuscitation (CPR) is key for the survival of the patient in out-of-hospital cardiac arrest (OHCA), including chest compressions (CCs) and ventilations. Ventilations have been proven to have an… Computing in Cardiology	2020-12-30