A universal method for solar filament detection from Hα observations using semi-supervised deep learning

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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 ^SCOPUS ^ORCID
	Ziener Marco
	Veronig Astrid
	Denker Carsten
	Pötzi Werner
	Podladchikova Tatiana
	Pevtsov Alexei A.

Source document	Astronomy and Astrophysics. Vol. 686 (2024), article no. A213, p. 1-15
Language	eng - English
Country	FR - France
Document kind	rozpis článkov z periodík (rbx)
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
Registered in	WOS
Registered in	SCOPUS
Registered in	CCC
DOI	10.1051/0004-6361/202348314

article

	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	2	Publisher's version	CC BY 4.0

rok	CC	IF	IF Q (best)	JCR Av Jour IF Perc	SJR	SJR Q (best)	CiteScore
	A

rok vydania	rok metriky	IF	IF Q (best)	SJR	SJR Q (best)
2024	2023	5.4	Q1	1.896	Q1

Number of the records: 1