Atmospheric Tomography Using Convolutional Neural Networks
Publication date:
Publisher version:
Serie:
Lecture Notes in Computer Science; 12490
Descripción física:
Description:
International Conference Intelligent Data Engineering and Automated Learning – IDEAL (21st. 2020. Guimaraes, Portugal)
ISBN:
ISSN:
Patrocinado por:
The authors acknowledge Spanish ministry projects MINECO AYA2017-89121- P, and support from the European Union’s Horizon 2020 research and innovation program under the H2020-INFRAIA-2018-2020 grant agreement No 210489629. This work has been partially funded by the French National Research Agency (ANR) program APPLY - ANR-19-CE31-0011. This work also benefited from the support of the WOLF project ANR-18-CE31-0018 of the and the OPTICON H2020 (2017–2020) Work Package 1. James Osborn acknowledges support from the UKRI Future Leaders Fellowship (UK) (MR/S035338/1).
Id. Proyecto:
MINECO/AYA2017-89121- P
info:eu‐repo/grantAgreement/EC/H2020/210489629
