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Title A universal method for solar filament detection from Hα observations using semi-supervised deep learning Author Diercke Andrea Co-authors Jarolim Robert Kuckein Christoph González Manrique Sergio Javier SAVASTRO - Astronomický ústav SAV Ziener Marco Veronig Astrid Denker Carsten Pötzi Werner Podladchikova Tatiana Pevtsov Alexei A. Action Vega č. 2/0043/24. Fyzika slnečnej atmosféry: spektroskopia, spektro-polarimetria a numerické modelovanie javov v atmosfére Slnka Source document Astronomy and Astrophysics. Vol. 686 (2024), article no. A213, p. 1-15 Category ADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted) Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2024 DOI 10.1051/0004-6361/202348314 File name Access Size Downloaded Type License A universal method for solar filament detection from H observations using semi-supervised deep learning.pdf available 22.7 MB 0 Publisher's version 
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File name Access Size Downloaded Type License The Solar Activity Monitor Network - SAMNet.pdf available 4.7 MB 3 Publisher's version CC BY 4.0article