Publications

Displaying 26 - 50 of 1351

Publication	Date
Adaptive Deep Fourier Residual method via overlapping domain decomposition Authors: Jamie M. Taylor,Manuela Bastidas,Victor M. Calo,David Pardo The Deep Fourier Residual (DFR) method is a specific type of variational physics-informed neural networks (VPINNs). It provides a robust neural network-based solution to partial differential equations (PDEs). The DFR strategy is based on approximating the dual norm of the weak residual of a PDE.… Elsevier BV	2024-07-01
Scale Mutualized Perception for Vessel Border Detection in Intravascular Ultrasound Images Authors: Xiujian Liu,Tianyuan Feng,Weipeng Liu,Liang Song,Yixuan Yuan,William Kongto Hau,Javier Del Ser,Zhifan Gao Vessel border detection in IVUS images is essential for coronary disease diagnosis. It helps to obtain the clinical indices on the inner vessel morphology to indicate the stenosis. However, the existing methods suffer the challenge of scale-dependent interference. Early methods usually rely on the… Institute of Electrical and Electronics Engineers (IEEE)	2024-07-01
Toward Fully Automated Inspection of Critical Assets Supported by Autonomous Mobile Robots, Vision Sensors, and Artificial Intelligence Authors: Javier Sanchez-Cubillo,Javier Del Ser,José Luis Martin Robotic inspection is advancing in performance capabilities and is now being considered for industrial applications beyond laboratory experiments. As industries increasingly rely on complex machinery, pipelines, and structures, the need for precise and reliable inspection methods becomes paramount… MDPI AG	2024-06-07
Steady solutions for the Schrödinger map equation Authors: Claudia García,Luis Vega In this paper we use bifurcation methods to construct a new family of solutions of the binormal flow, also known as the vortex filament equation, which do not change their form. Our examples are complementary to those obtained by S. Kida in 1981, and therefore they are also related, thanks to the… Informa UK Limited	2024-06-02
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation Authors: Yang Nan,Javier Del Ser,Zeyu Tang,Peng Tang,Xiaodan Xing,Yingying Fang,Francisco Herrera,Witold Pedrycz,Simon Walsh,Guang Yang 12 pages, 5 figures, Submitted to IEEE TNNLS Institute of Electrical and Electronics Engineers (IEEE)	2024-06-01
Monitoring Mooring Lines of Floating Offshore Wind Turbines: Autoregressive Coefficients and Stacked Auto-Associative-Deep Neural Networks Authors: Sharma S.,Nava Vincenzo This study introduces a pioneering monitoring system designed to mitigate operational costs and enhance the sustainability of Floating Offshore Wind Turbines (FOWT). The proposed framework combines Autoregressive models with a Stacked Auto-Associativebased Deep Neural Network (AANN-DNN) to detect… British Institute of Non-Destructive Testing (BINDT)	2024-06-01
Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients Authors: Smriti Sharma,Vincenzo Nava This research presents a novel approach proposed for the monitoring of mooring systems in Floating Offshore Wind Turbines (FOWTs), employing a combination of Convolutional Neural Networks (CNNs) and Auto-Regressive (AR) models. CNN finds broad application in monitoring intricate structures, as they… Elsevier BV	2024-06-01
Control co-design for wave energy farms: Optimisation of array layout and mooring configuration in a realistic wave climate Authors: Yerai Peña-Sanchez,Demián García-Violini,Markel Penalba,Ander Zarketa-Astigarraga,Francesco Ferri,Vincenzo Nava,John V. Ringwood This paper presents a novel Control Co-Design (CCD) methodology aimed at economically optimising the layout of wave energy converter (WEC) arrays. CCD ensures the synergy of optimised WEC and array parameters with the final control strategy, resulting in a comprehensive and efficient design of the… Elsevier BV	2024-06-01
Imaginary past of a quantum particle moving on imaginary time Authors: A. Uranga,E. Akhmatskaya,D. Sokolovski The analytical continuation of classical equations of motion to complex times suggests that a tunneling particle spends in the barrier an imaginary duration i \|T \|. Does this… American Physical Society (APS)	2024-05-21
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework Authors: Gonzalez-Sieiro J.,Pardo D.,Nava V.,Calo V. M.,Towara M. Abstract We propose a method for reducing the spatial discretization error of coarse computational fluid dynamics (CFD) problems by enhancing the quality of low-resolution simulations using a deep learning model fed with high-quality data. We substitute the default differencing scheme… Springer Science and Business Media LLC	2024-05-08
Robust Variational Physics-Informed Neural Networks Authors: Sergio Rojas,Paweł Maczuga,Judit Muñoz-Matute,David Pardo,Maciej Paszyński We introduce a Robust version of the Variational Physics-Informed Neural Networks method (RVPINNs). As in VPINNs, we define the quadratic loss functional in terms of a Petrov-Galerkin-type variational formulation of the PDE problem: the trial space is a (Deep) Neural Network (DNN) manifold, while… Elsevier BV	2024-05-01
Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey Authors: Xiaodan Xing,Huanjun Wu,Lichao Wang,Iain Stenson,May Yong,Javier Del Ser,Simon Walsh,Guang Yang Data quality is a key factor in the development of trustworthy AI in healthcare. A large volume of curated datasets with controlled confounding factors can improve the accuracy, robustness, and privacy of downstream AI algorithms. However, access to high-quality datasets is limited by the technical… Association for Computing Machinery (ACM)	2024-04-09
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends Authors: M. Victoria Luzón,Nuria Rodríguez-Barroso,Alberto Argente-Garrido,Daniel Jiménez-López,Jose M. Moyano,Javier Del Ser,Weiping Ding,Francisco Herrera Institute of Electrical and Electronics Engineers (IEEE)	2024-04-01
Fast $K$-Medoids With the $l_{1}$-Norm Authors: Marco Capó,Aritz Pérez,Jose A. Lozano K-medoids clustering is one of the most popular techniques in exploratory data analysis. The most commonly used algorithms to deal with this problem are quadratic on the number of instances, n, and usually the quality of the obtained solutions strongly depends upon their initialization phase. In… Institute of Electrical and Electronics Engineers (IEEE)	2024-04-01
Machine learning model to predict evolution of pulseless electrical activity during in-hospital cardiac arrest Authors: Jon Urteaga,Andoni Elola,Anders Norvik,Eirik Unneland,Trygve C. Eftestøl,Abhishek Bhardwaj,David Buckler,Benjamin S. Abella,Eirik Skogvoll,Elisabete Aramendi During pulseless electrical activity (PEA) the cardiac mechanical and electrical functions are dissociated, a phenomenon occurring in 25-42% of in-hospital cardiac arrest (IHCA) cases. Accurate evaluation of the likelihood of a PEA patient transitioning to return of spontaneous circulation (ROSC)… Elsevier BV	2024-03-01
Intelligent Underwater Object Detection and Image Restoration for Autonomous Underwater Vehicles Authors: Sheezan Fayaz,Shabir A. Parah,G. J. Qureshi,Jaime Lloret,Javier Del Ser,Khan Muhammad This work was supported in part by the Department of Electronics and Instrumentation Technology, funded by the Indian Government through Science and Heritage Research Initiative (SHRI) scheme under Grant DST/TDT/SHRI-33/2018. The work of J. Del Ser was supported by the Basque Government through… Institute of Electrical and Electronics Engineers (IEEE)	2024-02-01
Grounding spatial relations in text-only language models Authors: Gorka Azkune,Ander Salaberria,Eneko Agirre This paper shows that text-only Language Models (LM) can learn to ground spatial relations like "left of" or "below" if they are provided with explicit location information of objects and they are properly trained to leverage those locations. We perform experiments on a verbalized version of the… Elsevier BV	2024-02-01
Dynamical Phenomena in the Martian Atmosphere Through Mars Express Imaging Authors: Sánchez-Lavega, A.,del Río-Gaztelurrutia, T.,Spiga, A.,Hernández-Bernal, J.,Larsen, E.,Tirsch, Daniela,Cardesin-Moinelo, A.,Machado, P. AbstractThis review describes the dynamic phenomena in the atmosphere of Mars that are visible in images taken in the visual range through cloud formation and dust lifting. We describe the properties of atmospheric features traced by aerosols covering a large range of spatial and temporal scales,… Springer Science and Business Media LLC	2024-02-01
Cardiac output estimation using ballistocardiography: a feasibility study in healthy subjects Authors: Svensøy, Johannes Nordsteien,Alonso, Erik,Elola Artano, Andoni,Bjørnerheim, Reidar,Ræder, Johan,Aramendi Ecenarro, Elisabete,Wik, Lars AbstractThere is no reliable automated non-invasive solution for monitoring circulation and guiding treatment in prehospital emergency medicine. Cardiac output (CO) monitoring might provide a solution, but CO monitors are not feasible/practical in the prehospital setting. Non-invasive… Springer Science and Business Media LLC	2024-01-19
Reconstruction-Based Anomaly Detection in Wind Turbine Operation Time Series Using Generative Models Authors: Amaia Abanda,Ainhoa Pujana,Javier Del Ser Springer Nature Switzerland	2024-01-01
Multi-domain Adversarial Variational Bayesian Inference for Domain Generalization Authors: Zhifan Gao,Saidi Guo,Chenchu Xu,Jinglin Zhang,Mingming Gong,Javier Del Ser,Shuo Li Institute of Electrical and Electronics Engineers (IEEE)	2024-01-01
Ensemble Deep Learning for Enhanced Seismic Data Reconstruction Authors: Mohammad Mahdi Abedi,David Pardo,Tariq Alkhalifah Seismic data often contain gaps due to various obstacles in the investigated area and recording instrument failures. Deep learning techniques offer promising solutions for reconstructing missing data parts by leveraging existing information. However, self-supervised methods frequently struggle with… Institute of Electrical and Electronics Engineers (IEEE)	2024-01-01
Transforming Combinatorial Optimization Problems in Fourier Space: Consequences and Uses Authors: Anne Elorza,Xabier Benavides,Josu Ceberio,Leticia Hernando,Jose A. Lozano Institute of Electrical and Electronics Engineers (IEEE)	2024-01-01
Targeting the High Frequency Tail of Wave Spectra for Energy Harvesting in Marine Sensor Networks Authors: Josh Davidson,Vincenzo Nava While the conventional philosophy of wave energy conversion is to target the large amounts of power in the peak of the input wave spectrum, this study proposes that for the application of powering marine sensor networks (MSNs), it is advantageous to target the high frequency tail of the wave… Elsevier BV	2024-01-01
A data-mining approach to understanding the impact of multi-doping on the ionic transport mechanism of solid electrolytes materials: the case of dual-doped Ga_0.15/Sc_y Li₇La₃Zr₂O₁₂ Authors: Henry A. Cortés,Mauricio R. Bonilla,Herbert Früchtl,Tanja van Mourik,Javier Carrasco,Elena Akhmatskaya Uncovering Ga/Sc dual-doping effects on Li-ion dynamics in LLZO through molecular dynamics, Monte Carlo simulations, and data mining clustering techniques. Royal Society of Chemistry (RSC)	2024-01-01