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Session
Presentation | H11F: Applications of Machine Learning in Large-Scale Hydrology and Water Quality Modeling I Oral
Oral
H11F-08: A Scalable Deep Learning Approach for Daily Stream Temperature Prediction Across Unmonitored U.S. River Reaches
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Credits
Mon, Dec 15
225-227
9:50am - 10:00am (Central)
NOLA CC
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Md Abu Bakar Siddik
Oak Ridge National Laboratory
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Author(s):
Md Abu Bakar Siddik
, Oak Ridge National Laboratory
(First Author, Presenting Author)
Sean Turner
, Oak Ridge National Laboratory
Jesus Gomez-Velez
, Oak Ridge National Laboratory
Ahad Hasan Tanim
, Oak Ridge National Laboratory
Shih-Chieh Kao
, Oak Ridge National Laboratory
View Abstract
Scientific Discipline
Hydrology
Suggested Itineraries
Global Impacts‚ Solutions‚ & Policies
Machine Learning and AI
Open Science and Open Data
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Earth Covering
Type
Oral
Main Session
Oral
H11F: Applications of Machine Learning in Large-Scale Hydrology and Water Quality Modeling I Oral
8:30am-10:00am Dec 15 (Central)
Luisa Vieira Lucchese
Discussion
