Result: A study on the effect of input data length on a deep-learning-based magnitude classifier

*Title*:

A study on the effect of input data length on a deep-learning-based magnitude classifier / Megha Chakraborty, Wei Li, Johannes Faber, Georg Rümpker, Horst Stöcker, Nishtha Srivastava

*Author/editor-in-chief*:

*Published in*:

Enthalten in: Solid earth. - Göttingen : Copernicus Publ., 10.11.2022. - Seite 1721-1729. - 10.5194/se-13-1721-2022. - Jahrgang 13, Heft 11

*Publication*:

Göttingen : Copernicus Publ., 10.11.2022

*Distribution*:

Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg

*Physical description scale*:

1 Online-Ressource (9 Seiten)

*Format*:

*eBook*

*Language*:

*eng*

*DOI*:

10.5194/se-13-1721-2022

*oa_rights*:

Open Access
CC BY 4.0

*Result*: A study on the effect of input data length on a deep-learning-based magnitude classifier