ANGEL JAVIER
OMELLA MILIAN
INVESTIGADOR/A DOCTOR/A
![Foto de ANGEL JAVIER](/img/uploaded/6AC9EF7AC7BF2C87E3463FC8E8132887.png)
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Basque Center for Applied Mathematics
Bilbao, EspañaPublicaciones en colaboración con investigadoras/es de Basque Center for Applied Mathematics (12)
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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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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Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations
Mechanical Systems and Signal Processing, Vol. 200
2022
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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 MULTI-PHYSICS APPROACH FOR MINIMISING MOTOR LOSSES ON THE WLTP DRIVING CYCLE
IET Conference Proceedings
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Deep learning enhanced principal component analysis for structural health monitoring
Structural Health Monitoring, Vol. 21, Núm. 4, pp. 1710-1722
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On quadrature rules for solving Partial Differential Equations using Neural Networks
Computer Methods in Applied Mechanics and Engineering, Vol. 393
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Supervised Deep Learning with Finite Element simulations for damage identification in bridges
Engineering Structures, Vol. 257
2021
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A simulation method for the computation of the effective P-wave velocity in heterogeneous rocks
Computational Mechanics, Vol. 67, Núm. 3, pp. 845-865
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Modeling extra-deep electromagnetic logs using a deep neural network
Geophysics, Vol. 86, Núm. 3, pp. E269-E281
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Sensitivity and uncertainty analysis by discontinuous Galerkin of lock-in thermography for crack characterization
Computer Methods in Applied Mechanics and Engineering, Vol. 373
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Uncertainty Quantification on the Inversion of Geosteering Measurements using Deep Learning
3rd EAGE/SPE Geosteering Workshop