Explotación y Prospección de Minas
Departamento
JESUS DANIEL
SANTOS RODRIGUEZ
Profesor Titular de Universidad
Publicaciones en las que colabora con JESUS DANIEL SANTOS RODRIGUEZ (17)
2023
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Magnetic shielding simulation for particle detection
European Physical Journal Plus, Vol. 138, Núm. 10
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Wavefront Recovery for Multiple Sun Regions in Solar SCAO Scenarios with Deep Learning Techniques
Mathematics, Vol. 11, Núm. 7
2022
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CENN: A fully convolutional neural network for CMB recovery in realistic microwave sky simulations
Astronomy and Astrophysics, Vol. 666
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Comparative study of Shack-Hartmann configurations for atmospheric turbulence reconstructions in solar adaptive optics
Optics and Lasers in Engineering, Vol. 158
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Multi-frequency point source detection with fully convolutional networks: Performance in realistic microwave sky simulations
Astronomy and Astrophysics, Vol. 658
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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
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Point source detection with fully convolutional networks: Performance in realistic microwave sky simulations
Astronomy and Astrophysics, Vol. 648
2020
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Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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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
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Experience with artificial neural networks applied in multi-object adaptive optics
Publications of the Astronomical Society of the Pacific, Vol. 131, Núm. 1004
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QSOs sigposting cluster size halos as gravitational lenses: Halo mass, projected mass density profile and concentration at z∼0.7
Journal of Cosmology and Astroparticle Physics, Vol. 2019, Núm. 9
2017
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Analysing the performance of a tomographic reconstructor with different neural networks frameworks
Advances in Intelligent Systems and Computing
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Analysis of the temporal structure evolution of physical systems with the self-organising tree algorithm (SOTA): Application for validating neural network systems on adaptive optics data before on-sky implementation
Entropy, Vol. 19, Núm. 3
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Comparative study of neural network frameworks for the next generation of adaptive optics systems
Sensors (Switzerland), Vol. 17, Núm. 6
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Using GPUS to speed up a tomographic reconstructor based on machine learning
Advances in Intelligent Systems and Computing
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Using GPUs to Speed up a Tomographic Reconstructor Based on Machine Learning
International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings
2016
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Experience with wavefront sensor and deformable mirror interfaces for wide-field adaptive optics systems
Monthly Notices of the Royal Astronomical Society, Vol. 459, Núm. 2, pp. 1350-1359