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Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes.

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Theory-Guided Data Science for Climate Change., , , , , , and . Computer, 47 (11): 74-78 (2014)Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data., , and . SDM, page 47-58. SIAM, (2003)Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks., , , , , , , , , and 1 other author(s). SDM, page 612-620. SIAM, (2021)Characterizing pattern preserving clustering., , , and . Knowl. Inf. Syst., 19 (3): 311-336 (2009)Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining., , , , , and . Next Generation of Data Mining, CRC Press / Chapman and Hall / Taylor & Francis, (2008)Integrating Physics-Based Modeling with Machine Learning: A Survey., , , , and . CoRR, (2020)Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles., , , , , , and . CoRR, (2018)Characterizing Discriminative Patterns, , , , , and . CoRR, (2011)Theory-guided Data Science: A New Paradigm for Scientific Discovery., , , , , , , , and . CoRR, (2016)Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making., , , , , , , , , and 25 other author(s). ACM Trans. Interact. Intell. Syst., 11 (2): 11:1-11:49 (2021)