Durham University-ko ikertzaileekin lankidetzan egindako argitalpenak (9)

2022

  1. Deep learning wavefront reconstruction for collimated beams with experimental data

    Optics InfoBase Conference Papers

2020

  1. Atmospheric Tomography Using Convolutional Neural Networks

    Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference: Guimarães, Portugal; November 4–6, 2020. Proceedings

  2. Atmospheric Tomography Using Convolutional Neural Networks

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

  3. Wavefront prediction using artificial neural networks for open-loop adaptive optics

    Monthly Notices of the Royal Astronomical Society, Vol. 496, Núm. 1, pp. 456-464

2019

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

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

  2. Projected Pupil Plane Pattern (PPPP) with artificial neural networks

    Monthly Notices of the Royal Astronomical Society, Vol. 487, Núm. 1, pp. 1480-1487

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)

2017

  1. An approach using deep learning for tomographic reconstruction in solar observation

    Adaptive Optics for Extremely Large Telescopes, 2017 AO4ELT5

  2. Comparative study of neural network frameworks for the next generation of adaptive optics systems

    Sensors (Switzerland), Vol. 17, Núm. 6