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Found 138 dataset(s) matching "stochastic".
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JavaGenes is a fairly general purpose evolutionary software system written in Java. It implements several versions of the genetic algorithm, simulated annealing, stochastic hill climbing and other...
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This is a spatially-explicit state-and-transition simulation model of buffelgrass dynamics in Saguaro National Park. Buffelgrass is an invasive grass spreading in the park. The model represents...
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This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West...
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The datasets were generated for the Upper Choptank River Watershed (UCRW) in Maryland and Delaware. Depressions and the total stream network were derived from a lidar DEM collected during April to...
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Plant-mediated processes are often important in determining carbon cycling and storage in ecosystems. With climate-induced changes in the environment, plant-associated processes may also shift....
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This dataset includes reports and a slide presentation on discrete fracture network (DFN) generation and hydraulic fracture modeling at the Utah FORGE site. It details the characterization of...
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Refuge staff must make annual decisions about what management actions to implement (e.g., fire, rest, mow, hand pull, chemical, biological, seed, irrigate) in order to improve the health of native...
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Approximately 90% of pine rockland habitat in South Florida and the Florida Keys, USA, has been lost, fragmented, and degraded due to urbanization and other anthropogenic disturbances. Low-lying...
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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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In this paper, a maximum entropy-based general framework for probabilistic fatigue damage prognosis is investigated. The proposed methodology is based on an underlying physics-based crack growth...
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This article discusses several aspects of uncertainty represen- tation and management for model-based prognostics method- ologies based on our experience with Kalman Filters when applied to...
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In this paper, a maximum entropy-based general framework for probabilistic fatigue damage prognosis is investigated. The proposed methodology is based on an underlying physics-based crack growth...
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This article presented a discussion on uncertainty representation and management for model-based prog- nostics methodologies based on the Bayesian tracking framework and specifically for a Kalman...
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This paper introduces a novel Markov process formulation of stochastic fault growth modeling, in order to facilitate the development and analysis of prognostics-based control adap- tation. A...
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Refuge staff must make annual decisions about what management actions to implement (e.g., fire, rest, mow, hand pull, chemical, biological, seed, irrigate) in order to improve the health of native...
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This dataset was developed to demonstrate how metamodels of high resolution, process-based models that simulate the fate, transport, and bioaccumulation of organic chemicals in rivers can be...
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Background The dinucleotide relative abundance profile can be regarded as a genomic signature because, despite diversity between species, it varies little between 50 kilobase or longer...
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Background Noncoding RNA genes produce transcripts that exert their function without ever producing proteins. Noncoding RNA gene sequences do not have strong statistical signals, unlike...
