Výsledky vyhledávání - "Hanson, Paul C."

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Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations

Autor: Yu, Runlong, Qiu, Chonghao, Ladwig, Robert, Hanson, Paul C., Xie, Yiqun, Li, Yanhua, Jia, Xiaowei

This paper introduces a \textit{Process-Guided Learning (Pril)} framework that integrates physical models with recurrent neural networks (RNNs) to enhance the prediction of dissolved oxygen (DO) concentrations in lakes, which is crucial for sustainin

Externí odkaz: http://arxiv.org/abs/2411.12973

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Evolution-based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes

Autor: Yu, Runlong, Ladwig, Robert, Xu, Xiang, Zhu, Peijun, Hanson, Paul C., Xie, Yiqun, Jia, Xiaowei

Accurate prediction of dissolved oxygen (DO) concentrations in lakes requires a comprehensive study of phenological patterns across ecosystems, highlighting the need for precise selection of interactions amongst external factors and internal physical

Externí odkaz: http://arxiv.org/abs/2403.18923

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

Autor: Jia, Xiaowei, Karpatne, Anuj, Willard, Jared, Steinbach, Michael, Read, Jordan, Hanson, Paul C, Dugan, Hilary A, Kumar, Vipin

In this paper, we introduce a novel framework for combining scientific knowledge within physics-based models and recurrent neural networks to advance scientific discovery in many dynamical systems. We will first describe the use of outputs from physi

Externí odkaz: http://arxiv.org/abs/1810.02880

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