Publications

Displaying 176 - 200 of 1351

Publication	Date
Energy signature of ton TNT-class impacts: analysis of the 2018 December 22 fireball over Western Pyrenees Authors: Pierre Vernazza,J. Vaubaillon,Cyril Blanpain,D. A. Nedelcu,D. A. Nedelcu,E. Peña-Asensio,E. Peña-Asensio,Mar Tapia,Ricardo Hueso,Mirel Birlan,Mirel Birlan,Theresa Ott,Josep M. Trigo-Rodríguez,Agustín Sánchez-Lavega,S. Anghel,S. Anghel,S. Anghel,Esther… ABSTRACT The increase in detector sensitivity and availability in the past three decades has allowed us to derive knowledge of the meteoroid flux and impact energy into the Earth’s atmosphere. We present the multi-instrument detected 2018 December 22 fireball over Western Pyrenees,… Oxford University Press (OUP)	2021-10-18
Numerical Approaches for Loads and Motions Assessment of Floating WECs Moored by Means of Catenary Mooring Systems Authors: Imanol Touzon,Victor Petuya,Vincenzo Nava,Maria Alonso-Reig,Iñigo Mendikoa Technologies for harvesting offshore renewable energy based on float- ing platforms, such as offshore wind, wave and tidal energies, are currently being developed with the purpose of achieving a competitive cost of energy. The eco- nomic impact of the mooring system is significant within the total… Springer International Publishing	2021-10-14
Approximations for traveltime, slope, curvature, and geometric spreading of elastic waves in layered transversely isotropic media Authors: Abedi, Mohammad Mahdi,Pardo, David,Stovas, Alexey Each seismic body wave, including quasi-, P-, S-, and converted wave modes, carries useful subsurface information. For the processing, imaging, amplitude analysis, and forward modeling of each wave mode, we need approximate equations of the traveltime, slope (ray parameter), and curvature as a… Society of Exploration Geophysicists	2021-10-12
Jarduera fisikoaren, obesitatearen eta ezaugarri soziodemografikoen arteko erlazioa unibertsitateko langileetan Authors: Itxazne Garcia-Ceciaga,Ana María Valle,Inmaculada Arostegui,Jaime Zubero,Begoña Marina Jugo,Elena Diaz-Ereño Lan-ingurunean bizimodu osasungarriak sustatzea funtsezkoa da langileen osasuna eta autonomia ahalik eta ondoen mantentzeko. Gero eta interes handiagoa dago gehiegizko pisuaren, obesitatearen eta ohitura osasungarrien arteko erlazioa aztertzeko, bai eta jarduera fisikoa edo loaren iraupena eta… UPV/EHU Press	2021-10-07
Tidal volume measurements via transthoracic impedance waveform characteristics: The effect of age, body mass index and gender. A single centre interventional study Authors: Jo Kramer-Johansen,Tore Skålhegg,Unai Irusta,Elisabete Aramendi,Lars Wik,Per Olav Berve Measuring tidal volumes (TV) during bag-valve ventilation is challenging in the clinical setting. The ventilation waveform amplitude of the transthoracic impedance (TTI-amplitude) correlates well with TV for an individual, but poorer between patients. We hypothesized that TV to TTI-amplitude… Elsevier BV	2021-10-01
Wigner's friends, tunnelling times and Feynman's “only mystery of quantum mechanics” Authors: Sokolovsksi, D.,Akhmatskaya, E. Abstract Recent developments in elementary quantum mechanics have seen a number of extraordinary claims regarding quantum behaviour, and even questioning internal consistency of the theory. These are, we argue, different disguises of what Feynman described as quantum theory's “only… IOP Publishing	2021-10-01
Massive database generation for 2.5D borehole electromagnetic measurements using refined isogeometric analysis Authors: David Pardo,David Pardo,David Pardo,Ali Hashemian,Daniel Garcia,Jon Ander Rivera,Jon Ander Rivera Borehole resistivity measurements are routinely inverted in real-time during geosteering operations. The inversion process can be efficiently performed with the help of advanced artificial intelligence algorithms such as deep learning. These methods require a large dataset that relates multiple… Elsevier BV	2021-10-01
Recurrent Neural Networks to Predict the Outcome of Subsequent Defibrillation Shocks in Cardiac Arrest Authors: Xabier Jaureguibeitia,Gorka Zubia,Unai Irusta,Elisabete Aramendi,Giuseppe Ristagno IEEE	2021-09-13
Automated Detection of Pulse Using Continuous Invasive Arterial Blood Pressure in Patients During Cardiopulmonary Resuscitation Authors: Jon Urteaga,Andoni Elola,Elisabete Aramendi,Unai Irusta,Per Olav Berve,Lars Wik IEEE	2021-09-13
A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation Authors: Iraia Isasi,Erik Alonso,Unai Irusta,Elisabete Aramendi,Morteza Zabihi,Ali Bahrami Rad,Trygve Eftestol,Jo Kramer-Johansen,Lars Wik IEEE	2021-09-13
CURIE: a cellular automaton for concept drift detection Authors: Jesus L. Lobo,Javier Del Ser,Eneko Osaba,Albert Bifet,Francisco Herrera Data stream mining extracts information from large quantities of data flowing fast and continuously (data streams). They are usually affected by changes in the data distribution, giving rise to a phenomenon referred to as concept drift. Thus, learning models must detect and adapt to such changes,… Springer Science and Business Media LLC	2021-09-04
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking Authors: Osaba, E.,Del Ser, J.,Martínez, A.D.,Lobo, J.L.,Herrera, F. 31 pages, 4 figures, paper accepted for being published in Information Sciences journal Elsevier BV	2021-09-01
Facilitators and barriers to participation in population‐based colorectal cancer screening programme from the perspective of healthcare professionals: Qualitative research study Authors: Isabel Idigoras,Saloa Unanue-Arza,Inmaculada Arostegui,Inmaculada Arostegui,Isabel Portillo,Eunate Arana-Arri High participation determines the success of colorectal cancer screening programmes in reducing incidence and mortality. The factors that determine participation must be studied from the perspective of professionals that implement the programme. The aim was to identify factors that facilitate or… Hindawi Limited	2021-08-30
Risk scores to predict mortality 2 and 5 years after surgery for colorectal cancer in elderly patients Authors: Nerea González,Ane Loroño,Urko Aguirre,Santiago Lázaro,Marisa Baré,Maximino Redondo,Eduardo Briones,Cristina Sarasqueta,Amaia Bilbao,Nerea Fernández de Larrea,José María Quintana,Jose María Quintana,Marisa Baré,Maximino Redondo,Eduardo Briones,Nerea… Abstract Background The aim of this study was to identify predictors of mortality in elderly patients undergoing colorectal cancer surgery and to develop a risk score. Methods This was an observational prospective cohort… Springer Science and Business Media LLC	2021-08-26
On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification Authors: Alejandro Barredo Arrieta,Sergio Gil-Lopez,Ibai Laña,Miren Nekane Bilbao,Javier Del Ser 22 pages, 9 figures, 3 tables. Currently under review Springer Science and Business Media LLC	2021-08-06
Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions Authors: Ana I. Torre-Bastida,Josu Díaz-de-Arcaya,Eneko Osaba,Khan Muhammad,David Camacho,Javier Del Ser This overview gravitates on research achievements that have recently emerged from the confluence between Big Data technologies and bio-inspired computation. A manifold of reasons can be identified for the profitable synergy between these two paradigms, all rooted on the adaptability, intelligence… Springer Science and Business Media LLC	2021-08-03
Shock decision algorithm for use during load distributing band cardiopulmonary resuscitation Authors: I. Isasi,U. Irusta,E. Aramendi,J.A. Olsen,L. Wik Chest compressions delivered by a load distributing band (LDB) induce artefacts in the electrocardiogram. These artefacts alter shock decisions in defibrillators. The aim of this study was to demonstrate the first reliable shock decision algorithm during LDB compressions.The study dataset comprised… Elsevier BV	2021-08-01
Refined isogeometric analysis for generalized Hermitian eigenproblems Authors: David Pardo,David Pardo,David Pardo,Ali Hashemian,Victor M. Calo,Victor M. Calo We use the refined isogeometric analysis (rIGA) to solve generalized Hermitian eigenproblems $({Ku=��Mu})$. The rIGA framework conserves the desirable properties of maximum-continuity isogeometric analysis (IGA) discretizations while reducing the computation cost of the solution through… Elsevier BV	2021-08-01
To be or not to be a target: that is the question to manage mixed fisheries Authors: Inmaculada Arostegui,Inmaculada Arostegui,Raúl Prellezo,Dorleta Garcia Abstract Simulation models are used extensively to evaluate the performance of fisheries management strategies, though they must be validated to ensure that they accurately represent the real system. One of the quantitative methods available to advance in the process of validating… Oxford University Press (OUP)	2021-07-23
Probabilistic Load Forecasting Based on Adaptive Online Learning Authors: Veronica Alvarez,Santiago Mazuelas,Jose A. Lozano Load forecasting is crucial for multiple energy management tasks such as scheduling generation capacity, planning supply and demand, and minimizing energy trade costs. Such relevance has increased even more in recent years due to the integration of renewable energies, electric cars, and microgrids… Institute of Electrical and Electronics Engineers (IEEE)	2021-07-01
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems Authors: Eneko Osaba,Esther Villar-Rodriguez,Javier Del Ser,Antonio J. Nebro,Daniel Molina,Antonio LaTorre,Ponnuthurai N. Suganthan,Carlos A. Coello Coello,Francisco Herrera In the last few years, the formulation of real-world optimization problems and their efficient solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In spite of decades of historical advancements on the design and use of metaheuristics, large difficulties still… Elsevier BV	2021-07-01
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks Authors: Piotr S. Maciąg,Marzena Kryszkiewicz,Robert Bembenik,Jesus L. Lobo,Javier Del Ser 52 pages Elsevier BV	2021-07-01
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions Authors: Khan Muhammad,Amin Ullah,Jaime Lloret,Javier Del Ser,Victor Hugo C. de Albuquerque This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) Grant funded by the Korea Government (MSIT) (2019-0-00136, Development of AI-Convergence Technologies for Smart City Industry Productivity Innovation); The work of Javier Del Ser was… Institute of Electrical and Electronics Engineers (IEEE)	2021-07-01
Multi-task learning with Multi-view Weighted Fusion Attention for artery-specific calcification analysis Authors: Weiwei Zhang,Guang Yang,Nan Zhang,Lei Xu,Xiaoqing Wang,Yanping Zhang,Heye Zhang,Javier Del Ser,Victor Hugo C. de Albuquerque Abstract In general, artery-specific calcification analysis comprises the simultaneous calcification segmentation and quantification tasks. It can help provide a thorough assessment for calcification of different coronary arteries, and further allow for an efficient and rapid diagnosis of… Elsevier BV	2021-07-01
A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac Arrest Authors: Jon Urteaga,Elisabete Aramendi,Andoni Elola,Unai Irusta,Ahamed Idris Pulseless electrical activity (PEA) is characterized by the disassociation of the mechanical and electrical activity of the heart and appears as the initial rhythm in 20–30% of out-of-hospital cardiac arrest (OHCA) cases. Predicting whether a patient in PEA will convert to return of spontaneous… MDPI AG	2021-06-30