KOLDO PORTAL PORRAS-rekin lankidetzan egindako argitalpenak (15)

2024

  1. CNN-based vane-type vortex generator modelling

    Engineering Applications of Computational Fluid Mechanics, Vol. 18, Núm. 1

  2. Indoor Air Quality Measurements in Enclosed Spaces Combining Activities with Different Intensity and Environmental Conditions

    Buildings, Vol. 14, Núm. 4

2023

  1. Active flow control on airfoils by reinforcement learning

    Ocean Engineering, Vol. 287

  2. Convolutional Neural Network Predictions for Unsteady Reynolds-Averaged Navier–Stokes-Based Numerical Simulations

    Journal of Marine Science and Engineering, Vol. 11, Núm. 2

  3. Hybrid LSTM+CNN architecture for unsteady flow prediction

    Materials Today Communications, Vol. 35

  4. Numerical study of different ventilation schemes in a classroom for efficient aerosol control

    Heliyon, Vol. 9, Núm. 9

  5. Parametric study of vortex generators on a fin-and-tube heat exchanger

    Energy Sources, Part A: Recovery, Utilization and Environmental Effects, Vol. 45, Núm. 4, pp. 10051-10072

2022

  1. CNN-based flow control device modelling on aerodynamic airfoils

    Scientific Reports, Vol. 12, Núm. 1

  2. Computational characterization of the behavior of a saliva droplet in a social environment

    Scientific Reports, Vol. 12, Núm. 1

  3. Experimental and numerical modeling of an air jet impingement system

    European Journal of Mechanics, B/Fluids, Vol. 94, pp. 228-245

2021

  1. A data augmentation-based technique for deep learning applied to CFD simulations

    Mathematics, Vol. 9, Núm. 16

  2. Alternative artificial neural network structures for turbulent flow velocity field prediction

    Mathematics, Vol. 9, Núm. 16

  3. Estimating the reattachment length by realizing a comparison between urans k-omega sst and les wale models on a symmetric geometry

    Symmetry, Vol. 13, Núm. 9

  4. Rotating microtab implementation on a DU91W250 airfoil based on the cell-set model

    Sustainability (Switzerland), Vol. 13, Núm. 16

  5. Testing the accuracy of the cell‐set model applied on vane‐type sub‐boundary layer vortex generators

    Processes, Vol. 9, Núm. 3