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Machine-Learning-for-Climate-Change-Application-to-Cetacean-Abundance-Studies
Thesis project concerning the development of predictive regression models for the estimation of cetacean abundance in the Gulf of Taranto using climatic and morphological variables.Hybird-EBM-with-Machine-Learning-techniques-Po_Goro_River-Test-Case
A ML approach for the estimation of the salt wedge intrusion length (Lx) and the salinity concentration in the Po River (Po-Goro-Branch).Love Open Source and this site? Check out how you can help us