Machine learning prediction for filling the interruptions of tide gauge data using a least square estimation method from nearest stations
author
Jahanmard, Vahidreza
Delpeche-Ellmann, Nicole Camille
Ellmann, Artu
statement of authorship
Vahidreza Jahanmard, Nicole Delpeche-Ellmann, Artu Ellmann
source
Geodesy for a Sustainable Earth, Scientific Assembly of the International Association of Geodesy : abstract book
year of publication
2021
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
https://mm.sciconf.cn/en/minisite/poster-detail-new/1646?poster_id=1563508
https://files.sciconf.cn/upload/file/20210626/20210626085039_69146.pdf
subject term
merepinna kõikumised
tehisõpe
keyword
sea level
dynamic topography
tide gauge
geoid
hydrogeodesy
Baltic Sea
notes
Poster
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
5.2
TTÜ department
ehituse ja arhitektuuri instituut
küberneetika instituut
language
inglise