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Artificial intelligence applications, including neural networks and support vector machines, provide unique capabilities in the prediction of nonlinear processes with skill and computational efficiency, which enables the study of hydrologic processes operating at regional and continental scales. Examples of such applications include the prediction of satellite-based measurements related to snow and soil moisture state estimation.
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Machine Learning Applications

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The Deborah J. Goodings Professor in Engineering
for Global Sustainability
Department of Civil and Environmental Engineering | Clark School of Engineering | University of Maryland