Found 9 datasets matching "stochastic processes".
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contains hourly ozone and meteorological data. This dataset is associated with the following publication: Schliep, E., A. Gelfand, and D. Holland. Alternating Gaussian process modulated renewal...
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The goal of prognostic decision making (PDM) is to utilize information on anticipated system health changes in selecting future actions. One of the key challenges in PDM is finding a sufficiently...
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These data depict the locations (only) of all Brook Trout Genetics study sites in the park. Great Smoky Mountains National Park (GRSM) is committed to monitoring ecological and evolutionary...
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S&T Project 1794 Final Report: Identifying Sources of Uncertainty in Flood Frequency Analyses Report
Reclamation partnered with scientists at NCAR to assess sensitivity and sources of uncertainty in rainfall runoff modeling to support flood frequency analyses. Pieces of the modeling chain,...
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Mobile manipulators, which are robotic systems integrating an automatic or autonomous mobile base with a manipulator, can potentially enhance automation in many industrial and unstructured...
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The Water Erosion Prediction Project (WEPP) model is a process-based, distributed parameter, continuous simulation, erosion prediction model for use on personal computers running Windows...
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This is a presentation on the Fracture Permeability Impact on Seismic Slip Behavior project by Lawrence Livermore National Laboratory, presented by Dr. Kayla A. Kroll. The project's objective is...
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The Bank Stability and Toe Erosion Model (BSTEM) version 3.3.1 (Ursic and Langendoen, 2021) was used to predict bank retreat at five locations along Caulks Creek, Wildwood, Missouri, for a...
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