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*:

*Edition*:

Preprint

*Distribution*:

Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg

*Physical description scale*:

1 Online-Ressource (11 Seiten)

*Format*:

*eBook*

*Language*:

*eng*

*Notes*:

Später erschienen in: Solid Earth, Volume 13, issue 11 SE, 13, 1721–1729, 2022, DOI 10.5194/se-13-1721-2022

*DOI*:

10.48550/arXiv.2112.07551

*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