DAVID
PARDO ZUBIAUR
VISITANTE IKERBASQUE
Publicaciones (187) Publicaciones de DAVID PARDO ZUBIAUR
2024
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Deep neural network for damage detection in Infante Dom Henrique bridge using multi-sensor data
Structural Health Monitoring
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Robust Variational Physics-Informed Neural Networks
Computer Methods in Applied Mechanics and Engineering, Vol. 425
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Semi-blind-trace algorithm for self-supervised attenuation of trace-wise coherent noise
Geophysical Prospecting, Vol. 72, Núm. 3, pp. 965-977
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r-Adaptive deep learning method for solving partial differential equations
Computers and Mathematics with Applications, Vol. 153, pp. 33-42
2023
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A Deep Double Ritz Method (D2RM) for solving Partial Differential Equations using Neural Networks
Computer Methods in Applied Mechanics and Engineering, Vol. 405
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A Deep Fourier Residual method for solving PDEs using Neural Networks
Computer Methods in Applied Mechanics and Engineering, Vol. 405
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An exponential integration generalized multiscale finite element method for parabolic problems
Journal of Computational Physics, Vol. 479
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Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations
Mechanical Systems and Signal Processing, Vol. 200
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Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders
Ocean Engineering, Vol. 287
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Fast parallel IGA-ADS solver for time-dependent Maxwell's equations
Computers and Mathematics with Applications, Vol. 151, pp. 36-49
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Machine learning discovery of optimal quadrature rules for isogeometric analysis
Computer Methods in Applied Mechanics and Engineering, Vol. 416
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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)
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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
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Neural network architecture optimization using automated machine learning for borehole resistivity measurements
Geophysical Journal International, Vol. 234, Núm. 3, pp. 2488-2501
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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
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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
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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)
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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
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A Finite Element based Deep Learning solver for parametric PDEs
Computer Methods in Applied Mechanics and Engineering, Vol. 391
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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)