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Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks.

, , , , , , , , , , и . SDM, стр. 612-620. SIAM, (2021)

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Samantha Alaimo

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Samantha Joo

 

Другие публикации лиц с тем же именем

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation., , , , , , , и . ICDM, стр. 1024-1029. IEEE, (2021)Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks., , , , , , , , , и 1 other автор(ы). SDM, стр. 612-620. SIAM, (2021)Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature., , , , , , и . ICDM, стр. 11-20. IEEE, (2021)Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems., , , , , , , , и . ICDM, стр. 270-279. IEEE, (2021)Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks., , , , , , и . SDM, стр. 621-629. SIAM, (2021)Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature., , , , , , и . SDM, стр. 91-99. SIAM, (2022)Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning., , , , , и . CoRR, (2020)Physics-guided machine learning from simulated data with different physical parameters., , , , , , , , , и . Knowl. Inf. Syst., 65 (8): 3223-3250 (2023)