Publications (13) Publications de MANUELA BASTIDAS OLIVARES

2024

  1. Adaptive Deep Fourier Residual method via overlapping domain decomposition

    Computer Methods in Applied Mechanics and Engineering, Vol. 427

2022

  1. Upscaling a Navier-Stokes-Cahn-Hilliard model for two-phase porous-media flow with solute-dependent surface tension effects

    Applicable Analysis, Vol. 101, Núm. 12, pp. 4171-4193

2021

  1. A two-scale iterative scheme for a phase-field model for precipitation and dissolution in porous media

    Applied Mathematics and Computation, Vol. 396

  2. Error Estimates for the Gradient Discretisation Method on Degenerate Parabolic Equations of Porous Medium Type

    SEMA SIMAI Springer Series (Springer Science and Business Media Deutschland GmbH), pp. 37-72

  3. Numerical Simulation of a Phase-Field Model for Reactive Transport in Porous Media

    Lecture Notes in Computational Science and Engineering

  4. Numerical homogenization of non-linear parabolic problems on adaptive meshes

    Journal of Computational Physics, Vol. 425

2020

  1. A High-Order HDG Method with Dubiner Basis for Elliptic Flow Problems

    Ingeniería y ciencia, Vol. 16, Núm. 32, pp. 33-54

  2. A benchmark study of the multiscale and homogenization methods for fully implicit multiphase flow simulations

    Advances in Water Resources, Vol. 143

2017

  1. A Novel emotion recognition technique from voiced-speech

    2017 IEEE 3RD COLOMBIAN CONFERENCE ON AUTOMATIC CONTROL (CCAC)

  2. A novel emotion recognition technique from voiced-speech

    2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings

2016

  1. Double Fourier analysis for Emotion Identification in Voiced Speech

    Journal of Physics: Conference Series

  2. Multiresolution analysis (discrete wavelet transform) through Daubechies family for emotion recognition in speech.

    Journal of Physics: Conference Series

2015

  1. Information retrieval on documents methodology based on entropy filtering methodologies

    International Journal of Business Intelligence and Data Mining, Vol. 10, Núm. 3, pp. 280-296