Yaolin Ge

Gjest
ved Institutt for matematiske fag ved Norges teknisk-naturvitenskapelige universitet

Resultater Resultater

Efficient 3D real-time adaptive AUV sampling of a river plume front.

Berild, Martin Outzen; Ge, Yaolin; Eidsvik, Jo; Fuglstad, Geir-Arne; Ellingsen, Ingrid Helene. 2024, Frontiers in Marine Science. OCEAN, NTNUVitenskapelig artikkel

Using a statistical surrogate model for three-dimensional adaptive sampling.

Berild, Martin Outzen; Ge, Yaolin; Eidsvik, Jo; Fuglstad, Geir-Arne; Ellingsen, Ingrid Helene. 2023, 2023 Liège Colloquium “Machine learning and data analysis in oceanography”. OCEAN, NTNUPoster

Adaptive ocean sampling using surrogate models with spatially varying anisotropy in three dimensions.

Berild, Martin Outzen; Fuglstad, Geir-Arne; Ge, Yaolin; Eidsvik, Jo; Ellingsen, Ingrid Helene. 2023, Conference of the International Association for Mathematical Geosciences 2023. OCEAN, NTNUVitenskapelig foredrag

Adaptive oceanographic sampling using surrogate models with spatially varying anisotropy in three dimensions.

Berild, Martin Outzen; Fuglstad, Geir-Arne; Ge, Yaolin; Eidsvik, Jo; Ellingsen, Ingrid Helene. 2023, Spatial Statistics 2023. OCEAN, NTNUVitenskapelig foredrag

3-D Adaptive AUV Sampling for Classification of Water Masses.

Ge, Yaolin; Eidsvik, Jo; Mo-Bjørkelund, Tore. 2023, IEEE Journal of Oceanic Engineering. NTNUVitenskapelig artikkel

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