Publicaciones en las que colabora con EKAITZ ZULUETA GUERRERO (83)

2023

  1. A New Loss Function for Simultaneous Object Localization and Classification

    Mathematics, Vol. 11, Núm. 5

  2. Active flow control on airfoils by reinforcement learning

    Ocean Engineering, Vol. 287

  3. Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey

    Applied Sciences (Switzerland), Vol. 13, Núm. 14

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

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

  5. Educational Innovation Project in the Field of Informatics

    Lecture Notes in Networks and Systems

  6. Electrochemical Impedance Spectrum Equivalent Circuit Parameter Identification Using a Deep Learning Technique

    Electronics (Switzerland), Vol. 12, Núm. 24

  7. Hybrid LSTM+CNN architecture for unsteady flow prediction

    Materials Today Communications, Vol. 35

  8. Modification of Learning Ratio and Drop-Out for Stochastic Gradient Descendant Algorithm

    Mathematics, Vol. 11, Núm. 5

  9. Neural architecture search for the estimation of relative positioning of the autonomous mobile robot

    Logic Journal of the IGPL, Vol. 31, Núm. 4, pp. 634-647

  10. Numerical modeling of a sneeze, a cough and a continuum speech inside a hospital lift

    Heliyon, Vol. 9, Núm. 2

  11. 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

  12. Robotic-Arm-Based Force Control by Deep Deterministic Policy Gradient in Neurosurgical Practice

    Mathematics, Vol. 11, Núm. 19

  13. Robotic-Arm-Based Force Control in Neurosurgical Practice

    Mathematics, Vol. 11, Núm. 4

  14. Stability Analysis for Autonomous Vehicle Navigation Trained over Deep Deterministic Policy Gradient

    Mathematics, Vol. 11, Núm. 1

  15. TECHNO-ECONOMIC EFFECTS OF ELECTRICITY MARKET CONDITIONS IN THE OPTIMAL OPERATION OF HYBRID POWER PLANTS

    IET Conference Proceedings

  16. Unsteady-state turbulent flow field predictions with a convolutional autoencoder architecture

    AIMS Mathematics, Vol. 8, Núm. 12, pp. 29734-29758