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10/11/2021
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation
Accurate prediction of water temperature in streams is critical for moni...
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10/27/2020
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks
Effective training of advanced ML models requires large amounts of label...
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09/26/2020
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks
This paper proposes a physics-guided machine learning approach that comb...
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10/31/2018
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles
This paper proposes a physics-guided recurrent neural network model (PGR...
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10/05/2018
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes
In this paper, we introduce a novel framework for combining scientific k...
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10/31/2017