Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources

18 August 2023

Papers citing "Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources"

8 / 8 papers shown

Title
Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network M. Stalder Firat Ozdemir A. Safin J. Sukys D. Bouffard Fernando Perez-Cruz 30 2 0 27 Sep 2021
Short-term Hourly Streamflow Prediction with Graph Convolutional GRU Networks M. Sit B. Demiray Ibrahim Demir 44 49 0 07 Jul 2021
Continental-scale streamflow modeling of basins with reservoirs: towards a coherent deep-learning-based strategy Wenyu Ouyang K. Lawson D. Feng L. Ye Chi Zhang Chaopeng Shen AI4TS AI4CE 54 60 0 12 Jan 2021
The data synergy effects of time-series deep learning models in hydrology K. Fang Daniel Kifer K. Lawson D. Feng Chaopeng Shen AI4CE 69 80 0 06 Jan 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 232 2,287 0 18 Oct 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 91 387 0 10 Mar 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015