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Session
Presentation | H43F: AI Advances in Subsurface Hydrology and Energy I Poster
Poster
H43F-1569: Comparing Physics-Based and Machine Learning Approaches for Sustainable Aquifer Management in Emilia-Romagna (Italy)
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Schedule
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Credits
Thu, Dec 18
Board 1569‚ Hall EFG (Poster Hall)
2:15pm - 5:45pm (Central)
NOLA CC
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Ilaria Delfini
University of Bologna
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Author(s):
Ilaria Delfini
, University of Bologna
(First Author, Presenting Author)
Daniel Zamrsky
, Utrecht University
Alberto Montanari
, University of Bologna
View Abstract
Scientific Discipline
Hydrology
Suggested Itineraries
Critical Minerals and Renewable Energy
Machine Learning and AI
Neighborhood
Earth Covering
Type
Poster
I Will Be at My Poster Time
View This Poster
Main Session
Poster
H43F: AI Advances in Subsurface Hydrology and Energy I Poster
2:15pm-5:45pm Dec 18 (Central)
Behzad Ghanbarian
Discussion
