Machine learning prediction for filling the interruptions of tide gauge data using a least square estimation method from nearest stations
statement of authorship
Vahidreza Jahanmard, Nicole Delpeche-Ellmann, Artu Ellmann
year of publication
pages
S5-030
p. 529
conference name, date
Scientific Assembly of the International Association of Geodesy 2021, IAG 2021, June 28-July 2, 2021
conference location
Beijing, China
url
notes
Poster
Open Access
Open Access
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
subject term
classifier
5.2
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.