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Showing 1 to 8 of 8 for “"Synthetic generation"”.

  1. Big data storage workload characterization, modeling and synthetic generation

    … has lead to Big Data, for which next generation storage systems are being designed and implemented. As Big Data stresses the storage layer in new ways, a better understanding of these workloads and the availability of flexible workload generators are increasingly important to …

    uiuc Repository record for Big data storage workload characterization, modeling and synthetic generation (opens in a new tab)

  2. Synthetic Generation of an Azide-Bearing N-Mustard Cofactor Mimic of S-Adenosyl-L-Methionine

    The synthesis of an azide-bearing <italic>N</italic>-mustard cofactor, 8-azido-5&rsquo;-(diaminobutyric acid)-<italic>N</italic>-iodoethyl-5&rsquo;-deoxyadenosine ammonium hydrochloride (<bold>2.1</bold>), has been accomplished with a small amount of impurity in several steps from commercially …

    wfu Repository record for Synthetic Generation of an Azide-Bearing N-Mustard Cofactor Mimic of S-Adenosyl-L-Methionine (opens in a new tab)

  3. A synthetic hydrologic flow model for the upper James River Basin

    The object of this thesis is the synthetic generation of possible future flows in the James River at Buchanan, Virginia, through the utilization of existing records of monthly precipitation and runoff. Twelve separate monthly regression models were chosen on the basis of the degree of correlation …

    vt Repository record for A synthetic hydrologic flow model for the upper James River Basin (opens in a new tab)

  4. Validation, Calibration, and Uncertainty Quantification of the Wofost Crop Simulation Model

    … data formats, and augments the sparse data via synthetic data generation tools. In this thesis, we focus on the synthetic generation of agricultural yield data via the WOFOST (WOrld FOod STudies) [20] crop simulation model. Through our validation, calibration, and uncertainty quantification …

    mit Repository record for Validation, Calibration, and Uncertainty Quantification of the Wofost Crop Simulation Model (opens in a new tab)

  5. Simulation of fluctuating wind pressures on low building roofs

    … representation of time series, a new time series generation technique capable of simulating Gaussian as well as non-Gaussian wind pressure fluctuations is developed. Both Fourier amplitude and phase, which are required for the simulations, are modelled individually. The Fourier amplitude part is …

    concordia Repository record for Simulation of fluctuating wind pressures on low building roofs (opens in a new tab)

  6. Advances in Reinforcement Learning for Decision Support

    … exploration, mediation, interpretation, and generation---specifically with an eye towards the role of reinforcement learning in helping humans 'close the loop' in sequential decision-making. In particular, we focus on the problems of: exploring new environments without guidance, interpreting …

    cambridge Repository record for Advances in Reinforcement Learning for Decision Support (opens in a new tab)

  7. New and Improved Methods to Characterize, Classify, and Estimate Daily Sky Conditions for Solar Energy Applications

    … This dissertation also generates annual synthetic sequences of KD and POP-KD using a Markov approach. The generated sequences show statistical similarities with observed sequences. Secondly, this dissertation proposes methodologies to estimate day-ahead solar irradiance using the National …

    vt Repository record for New and Improved Methods to Characterize, Classify, and Estimate Daily Sky Conditions for Solar Energy Applications (opens in a new tab)