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Machine learning on massive bathymetric data for the optimization of hydrographic survey systems

Julian Le Deunf brilliantly defended his thesis "Machine learning on massive bathymetric data for the optimization of hydrographic survey systems" on Monday December 12, 2022. This work was carried out within the LUSSI department of IMT Atlantique an…

ABDILLAH ALI THOIHIRI Mounadi

MATRIX

DMID

The raison d'être of the DMID department is to link complex phenomena and systems, the data derived from them, and decision making, using model-driven and data-driven approaches. To be more precise, the department's researchers will first of all stud…