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Machine learning and marsquakes: a tool to predict atmosphe..:
Stott, A E
;
Garcia, R F
;
Chédozeau, A
...
Geophysical Journal International. 233 (2022) 2 - p. 978-998 , 2022
Link:
https://doi.org/10.1093/gji/ggac464
RT Journal T1 <Title>Machine learning and marsquakes: a tool to predict atmospheric-seismic noise for the NASA InSight mission</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_gji_ggac464&Exemplar=1&LAN=DE A1 Stott, A E A1 Garcia, R F A1 Chédozeau, A A1 Spiga, A A1 Murdoch, N A1 Pinot, B A1 Mimoun, D A1 Charalambous, C A1 Horleston, A A1 King, S D A1 Kawamura, T A1 Dahmen, N A1 Barkaoui, S A1 Lognonné, P A1 Banerdt, W B PB Oxford University Press (OUP) YR 2022 SN 0956-540X SN 1365-246X JF Geophysical Journal International VO 233 IS 2 SP 978 OP 998 LK http://dx.doi.org/https://doi.org/10.1093/gji/ggac464 DO https://doi.org/10.1093/gji/ggac464 SF ELIB - SuUB Bremen
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