Otsing - TalTech teadusportaal

kuva

reasta

1

artikkel ajakirjas EST / artikkel ajakirjas ENG

CDMSL: A conditional diffusion deep learning model for high-resolution sea level reconstruction using SWOT satellite altimetryRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole; Ellmann, Artu; Zorita, EduardoESS Open Archive2026 / 48 p https://doi.org/10.22541/essoar.15003713/v1

artikkel ajakirjas EST / artikkel ajakirjas ENG

2

artikkel kogumikus EST / artikkel kogumikus ENG

Conditional diffusion model for sea level prediction using SWOT satellite altimetry with uncertainty quantificationRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuIAG Scientific Assembly 2025 : Geodesy for a changing environment : Abstract Book2025 / p. 325 https://grafar.grf.bg.ac.rs/bitstream/handle/123456789/3792/bitstream_13940.pdf?sequence=1&isAllowed=y

artikkel kogumikus EST / artikkel kogumikus ENG

3

artikkel kogumikus

A data-fusion technique for forecasting of absolute sea levels in the Baltic SeaRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu2023 Machine Learning And Data Analysis In Oceanography, University of Liège, Belgium2023 / 1 p A data-fusion technique for forecasting of absolute sea levels in the Baltic Sea

artikkel kogumikus

4

artikkel kogumikus EST / artikkel kogumikus ENG

Development of continuous dynamic vertical reference for maritime and offshore engineering by applying geodetic and machine learning strategiesEllmann, Artu; Delpeche-Ellmann, Nicole Camille; Varbla, Sander; Rajabi Kiasari, Saeed; Jahanmard, Vahidreza; Kupavõh, AlekseiEGU General Assembly 20252025 / art. EGU25-20596 https://doi.org/10.5194/egusphere-egu25-20596

artikkel kogumikus EST / artikkel kogumikus ENG

5

dissertatsioon

Development of Machine Learning Approaches for Geoid-referred Sea Level Forecasting = Masinõppe meetodite väljatöötamine geoidi suhtes määratletava merepinna taseme prognoosimiseksRajabi Kiasari, Saeed2026 https://digikogu.taltech.ee/et/Item/96a4a7e5-a188-467e-a3f1-52a862c1fe43 https://www.ester.ee/record=b6042268*est https://doi.org/10.23658/taltech.20/2026

dissertatsioon

Seotud publikatsioonid 3

6

artikkel kogumikus

Forecasting of absolute dynamic topography by utilizing machinelearning with synergy of satellite altimetry dataDelpeche-Ellmann, Nicole Camille; Rajabi Kiasari, Saeed; Ellmann, Artu13th Coastal Altimetry Workshop & Coastal Altimetry Training, 6-10 February 2023, Universidad de Cádiz, Spain : abstract2023 / p. 42 https://www.coastalaltimetry.org/NikalWebsitePortal/coastal-altimetry-workshop/esa/ExtraContent/ContentSubPage?page=8&subPage=3

artikkel kogumikus

7

artikkel ajakirjas EST / artikkel ajakirjas ENG

Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic SeaRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuComputers & geosciences2023 / art. 105406, 16 p. : ill https://doi.org/10.1016/j.cageo.2023.105406 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

Seotud publikatsioonid 1

Development of Machine Learning Approaches for Geoid-referred Sea Level Forecasting = Masinõppe meetodite väljatöötamine geoidi suhtes määratletava merepinna taseme prognoosimiseks

8

artikkel kogumikus EST / artikkel kogumikus ENG

Forecasting of Sea Level Extremes using Deep Learning and Extreme Value AnalysisDelpeche-Ellmann, Nicole Camille; Rajabi Kiasari, Saeed; Soomere, Tarmo; Ellmann, ArtuEGU General Assembly 20252025 / art. EGU25-13350 https://meetingorganizer.copernicus.org/EGU25/EGU25-13350.html https://doi.org/10.5194/egusphere-egu25-13350

artikkel kogumikus EST / artikkel kogumikus ENG

9

artikkel kogumikus

Forecasting sea level maxima using machine learning models in the Baltic SeaRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuInternational Liège Colloquium 2024 : Ocean Extremes2024 / 1 p https://gher-uliege.github.io/liege-colloquium-2024/abstracts/2024-01-26_12:01:45_IP_193.40.250.130.pdf

artikkel kogumikus

10

artikkel ajakirjas EST / artikkel ajakirjas ENG

Forecasting sea level maxima using machine learning with explainability and extreme value analysisRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu; Soomere, TarmoInternational journal of applied earth observation and geoinformation2026 / art. 105064 https://doi.org/10.1016/j.jag.2025.105064

artikkel ajakirjas EST / artikkel ajakirjas ENG

Seotud publikatsioonid 1

Development of Machine Learning Approaches for Geoid-referred Sea Level Forecasting = Masinõppe meetodite väljatöötamine geoidi suhtes määratletava merepinna taseme prognoosimiseks

11

artikkel kogumikus EST / artikkel kogumikus ENG

Instantaneous sea surface height prediction using satellite altimetry and deep learningRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuLiving Planet Symposium (LPS25)2025 https://lps25.esa.int/

artikkel kogumikus EST / artikkel kogumikus ENG

12

artikkel kogumikus EST / artikkel kogumikus ENG

Integrating satellite altimetry and deep learning for enhanced sea level forecastingRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuEGU General Assembly 20252025 / art. EGU25-9951 https://meetingorganizer.copernicus.org/EGU25/EGU25-9951.html https://doi.org/10.5194/egusphere-egu25-9951

artikkel kogumikus EST / artikkel kogumikus ENG

13

artikkel kogumikus

Machine learning Forecasting of Absolute Dynamic Topography in the Baltic SeaRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / p. 36 https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf

artikkel kogumikus

14

artikkel kogumikus

A multivariate-multistep-ahead forecasting of dynamic topography using convolutional encoder-decoder network in the Baltic SeaRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuXXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)2023 / 1 p https://doi.org/10.57757/IUGG23-1664

artikkel kogumikus

15

artikkel kogumikus

Reconstruction of dynamic topography using cyclostationary empirical orthogonal functions in the Baltic SeaMostafavi, Majid; Rajabi Kiasari, Saeed; Jahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / p. 25 https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf

artikkel kogumikus

16

artikkel kogumikus EST / artikkel kogumikus ENG

Revealing sub-mesoscale ocean dynamics from SWOT satellite using geoid-referred dynamic topography and deep learningEllmann, Artu; Kupavõh, Aleksei; Rajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole CamilleInternational Liège Colloquium 2026 : Submesoscale Processes in the Ocean2026 / 1 p https://ocean-colloquium.fsc.uliege.be/PresentationManager/ILC2026/index.html

artikkel kogumikus EST / artikkel kogumikus ENG

17

artikkel ajakirjas EST / artikkel ajakirjas ENG

Sea level forecasting using deep recurrent neural networks with high-resolution hydrodynamic modelRajabi Kiasari, Saeed; Ellmann, Artu; Delpeche-Ellmann, Nicole CamilleApplied ocean research2025 / art. 104496, 25 p. : ill https://doi.org/10.1016/j.apor.2025.104496 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

Seotud publikatsioonid 1

Development of Machine Learning Approaches for Geoid-referred Sea Level Forecasting = Masinõppe meetodite väljatöötamine geoidi suhtes määratletava merepinna taseme prognoosimiseks

18

artikkel kogumikus

Validation of conventional and retracked Sentinel-3 observations along the Norwegian coastMostafavi, Majid; Jahanmard, Vahidreza; Rajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / p. 27 https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf

artikkel kogumikus

Rajabi Kiasari, Saeed (autor)

teaviku laadid

autor 18

CV 7

tema kohta 2