Publicaciones (187) Publicaciones de DAVID PARDO ZUBIAUR

2024

  1. Deep neural network for damage detection in Infante Dom Henrique bridge using multi-sensor data

    Structural Health Monitoring

  2. Robust Variational Physics-Informed Neural Networks

    Computer Methods in Applied Mechanics and Engineering, Vol. 425

  3. Semi-blind-trace algorithm for self-supervised attenuation of trace-wise coherent noise

    Geophysical Prospecting, Vol. 72, Núm. 3, pp. 965-977

  4. r-Adaptive deep learning method for solving partial differential equations

    Computers and Mathematics with Applications, Vol. 153, pp. 33-42

2023

  1. A Deep Double Ritz Method (D2RM) for solving Partial Differential Equations using Neural Networks

    Computer Methods in Applied Mechanics and Engineering, Vol. 405

  2. A Deep Fourier Residual method for solving PDEs using Neural Networks

    Computer Methods in Applied Mechanics and Engineering, Vol. 405

  3. An exponential integration generalized multiscale finite element method for parabolic problems

    Journal of Computational Physics, Vol. 479

  4. Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations

    Mechanical Systems and Signal Processing, Vol. 200

  5. Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders

    Ocean Engineering, Vol. 287

  6. Fast parallel IGA-ADS solver for time-dependent Maxwell's equations

    Computers and Mathematics with Applications, Vol. 151, pp. 36-49

  7. Machine learning discovery of optimal quadrature rules for isogeometric analysis

    Computer Methods in Applied Mechanics and Engineering, Vol. 416

  8. Memory-Based Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  9. Multimodal variational autoencoder for inverse problems in geophysics: Application to a 1-D magnetotelluric problem

    Geophysical Journal International, Vol. 235, Núm. 3, pp. 2598-2613

  10. Neural network architecture optimization using automated machine learning for borehole resistivity measurements

    Geophysical Journal International, Vol. 234, Núm. 3, pp. 2488-2501

  11. On building physics-based AI models for the design and SHM of mooring systems

    Trends in Renewable Energies Offshore - Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022

  12. Physics-guided deep-learning inversion method for the interpretation of noisy logging-while-drilling resistivity measurements

    Geophysical Journal International, Vol. 235, Núm. 1, pp. 150-165

2022

  1. 1D Painless Multi-level Automatic Goal-Oriented h and p Adaptive Strategies Using a Pseudo-Dual Operator

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. 2.5-D Deep Learning Inversion of LWD and Deep-Sensing em Measurements Across Formations with Dipping Faults

    IEEE Geoscience and Remote Sensing Letters, Vol. 19

  3. A Finite Element based Deep Learning solver for parametric PDEs

    Computer Methods in Applied Mechanics and Engineering, Vol. 391

  4. A Goal-Oriented hp-Strategy for the Generation of Massive Databases for Deep Learning Inversion

    Congress on Numerical Methods in Engineering CMN 2022 (2022. Las Palmas de Gran Canaria)