Machine learning prediction for filling the interruptions of tide gauge data using a least square estimation method from nearest stations
vastutusandmed
Vahidreza Jahanmard, Nicole Delpeche-Ellmann, Artu Ellmann
ilmumisaasta
leheküljed
S5-030
p. 529
konverentsi nimetus, aeg
Scientific Assembly of the International Association of Geodesy 2021, IAG 2021, June 28-July 2, 2021
konverentsi toimumispaik
Beijing, China
leitav
märksõna
märkused
Poster
Open Access
Open Access
teaduspublikatsioon
teaduspublikatsioon
klassifikaator
5.2
TTÜ struktuuriüksus
keel
inglise
Jahanmard, V., Delpeche-Ellmann, N., Ellmann, A. Machine learning prediction for filling the interruptions of tide gauge data using a least square estimation method from nearest stations // Geodesy for a Sustainable Earth, Scientific Assembly of the International Association of Geodesy : abstract book., 2021. S5-030, p. 529.