Publicaciones (139) Publicaciones de MARIA LUISA SANCHEZ RODRIGUEZ

2023

  1. Magnetic shielding simulation for particle detection

    European Physical Journal Plus, Vol. 138, Núm. 10

  2. One-Dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets

    Axioms, Vol. 12, Núm. 4

  3. Transiting Exoplanet Detection Through 1D Convolutional Neural Networks

    Lecture Notes in Networks and Systems

2022

  1. CENN: A fully convolutional neural network for CMB recovery in realistic microwave sky simulations

    Astronomy and Astrophysics, Vol. 666

  2. Construction status and prospects of the Hyper-Kamiokande project

    Proceedings of Science

  3. Overview of the status of the European Solar Telescope

    Proceedings of SPIE - The International Society for Optical Engineering

  4. Prospects for neutrino astrophysics with Hyper-Kamiokande

    Proceedings of Science

  5. The European Solar Telescope

    Astronomy and Astrophysics, Vol. 666

  6. The K2-OjOS Project*New and revisited planets and candidates in K2 campaigns 5, 16, & 18

    Monthly Notices of the Royal Astronomical Society, Vol. 509, Núm. 1, pp. 1075-1095

2021

  1. Supernova Model Discrimination with Hyper-Kamiokande

    Astrophysical Journal, Vol. 916, Núm. 1

2020

  1. An artificial neural network model for the prediction of bruxism by means of occlusal variables

    Neural Computing and Applications, Vol. 32, Núm. 5, pp. 1259-1267

  2. Effective extraction of high purity sulfur from industrial residue with low sulfur content

    Journal of Materials Research and Technology, Vol. 9, Núm. 4, pp. 8117-8124

  3. Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019

  1. Convolutional neural networks approach for solar reconstruction in SCAO configurations

    Sensors (Switzerland), Vol. 19, Núm. 10

  2. Experience with artificial neural networks applied in multi-object adaptive optics

    Publications of the Astronomical Society of the Pacific, Vol. 131, Núm. 1004

  3. Rapid tomographic reconstruction through GPU-based adaptive optics

    Logic Journal of the IGPL

2018

  1. Improving adaptive optics reconstructions with a deep learning approach

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Multi-GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics

    Complexity, Vol. 2018

2017

  1. Analysing the performance of a tomographic reconstructor with different neural networks frameworks

    Advances in Intelligent Systems and Computing

  2. Successful sulfur recovery in low sulfurate compounds obtained from the zinc industry: Evaporation–condensation method

    Journal of Hazardous Materials, Vol. 336, pp. 168-173