• English
    • euskara
    • español
  • English 
    • English
    • euskara
    • español
  • Login
Search 
  •   BIRD Home
  • Computational Mathematics (CM)
  • Search
  •   BIRD Home
  • Computational Mathematics (CM)
  • Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Search

Show Advanced FiltersHide Advanced Filters

Filtros

Use filtros para refinar sus resultados.

Now showing items 1-10 of 88

  • Opciones de clasificación:
  • Relevancia
  • Título Asc
  • Título Desc
  • Fecha Asc
  • Fecha Desc
  • Resultados por página:
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
Thumbnail

Exploiting the Kronecker product structure of φ−functions in exponential integrators 

Muñoz-Matute, J.Autoridad BCAM; Pardo, D.Autoridad BCAM; Calo, Victor M. (2022-05-15)
Exponential time integrators are well-established discretization methods for time semilinear systems of ordinary differential equations. These methods use (Formula presented.) functions, which are matrix functions related ...
Thumbnail

Supervised Deep Learning with Finite Element simulations for damage identification in bridges 

Fernandez-Navamuel, A.Autoridad BCAM; Zamora-Sánchez, Diego; Omella, Ángel J.; Pardo, D.Autoridad BCAM; Garcia-Sanchez, David; Magalhães, Filipe (2022-04-15)
This work proposes a supervised Deep Learning approach for damage identification in bridge structures. We employ a hybrid methodology that incorporates Finite Element simulations to enrich the training phase of a Deep ...
Thumbnail

On quadrature rules for solving Partial Differential Equations using Neural Networks 

Rivera, J.AAutoridad BCAM; Taylor, J.M.Autoridad BCAM; Omella, Ángel J.; Pardo, D.Autoridad BCAM (2022-04-01)
Neural Networks have been widely used to solve Partial Differential Equations. These methods require to approximate definite integrals using quadrature rules. Here, we illustrate via 1D numerical examples the quadrature ...
Thumbnail

Error representation of the time-marching DPG scheme 

Muñoz-Matute, J.Autoridad BCAM; Demkowicz, Leszek; Pardo, D.Autoridad BCAM (2022-03-01)
In this article, we introduce an error representation function to perform adaptivity in time of the recently developed time-marching Discontinuous Petrov–Galerkin (DPG) scheme. We first provide an analytical expression for ...
Thumbnail

Nonhyperbolic normal moveout stretch correction with deep learning automation 

Abedi, M.M.Autoridad BCAM; Pardo, D.Autoridad BCAM (2022-02-15)
Normal-moveout (NMO) correction is a fundamental step in seismic data processing. It consists of mapping seismic data from recorded traveltimes to corresponding zero-offset times. This process produces wavelet stretching ...
Thumbnail

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

Noh, Kyubo; Pardo, D.Autoridad BCAM; Torres-Verdin, Carlos (2022-01-01)
Deep learning (DL) inversion of induction logging measurements is used in well geosteering for real-time imaging of the distribution of subsurface electrical conductivity. We develop a DL inversion workflow to solve 2.5-D ...
Thumbnail

Deep learning enhanced principal component analysis for structural health monitoring 

Fernandez-Navamuel, A.Autoridad BCAM; Magalhães, Filipe; Zamora-Sánchez, Diego; Omella, Ángel J.; Garcia-Sanchez, David; Pardo, D.Autoridad BCAM (2022-01-01)
This paper proposes a Deep Learning Enhanced Principal Component Analysis (PCA) approach for outlier detection to assess the structural condition of bridges. We employ partially explainable autoencoder architecture to ...
Thumbnail

Uncertainty Quantification on the Inversion of Geosteering Measurements using Deep Learning 

Rivera, J.AAutoridad BCAM; Shahriari, M; Pardo, D.Autoridad BCAM; Omella, J.; Torres-Verdín, C. (2021-11-01)
We propose the use of a Deep Learning (DL) algorithm for the real-time inversion of electromagnetic measurements acquired during geosteering operations. Moreover, we show that when the DL algorithm is equipped with a ...
Thumbnail

Approximations for traveltime, slope, curvature, and geometrical spreading of elastic waves in layered transversely isotropic media 

Abedi, M.M.Autoridad BCAM; Pardo, D.Autoridad BCAM; Stovas, A. (2021-10)
Each seismic body wave, including quasi compressional, shear, and converted wave modes, carries useful subsurface information. For processing, imaging, amplitude analysis, and forward modeling of each wave mode, we need ...
Thumbnail

Massive Database Generation for 2.5D Borehole Electromagnetic Measurements using Refined Isogeometric Analysis 

Hashemian, A.Autoridad BCAM; Garcia, D.; Rivera, J.A.; Pardo, D.Autoridad BCAM (2021-06)
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 ...
  • 1
  • 2
  • 3
  • 4
  • . . .
  • 9

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
 

 

Browse

All of BIRDCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CommunityBy Issue DateAuthorsTitlesSubjects

My Account

Login

Descubre

Author
Pardo, D. (88)
Calo, V.M. (15)Paszyński, M. (12)Torres-Verdín, C. (9)Muñoz-Matute, J. (8)Torres-Verdin, C. (8)Alvarez-Aramberri, J. (7)Muga, I. (7)Shahriari, M. (7)Alberdi, E. (5)... másSubjectFinite element method (7)Finite Element Method (6)Inverse problems (6)deep learning (5)Goal-oriented adaptivity (4)goal-oriented adaptivity (4)resistivity measurements (4)Deep Learning (3)deep neural networks (3)Direct solvers (3)... másFecha2020 - 2022 (30)2010 - 2019 (54)2008 - 2009 (4)

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback