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Showing 1 to 8 of 8 for “"rapid prediction"”.

  1. Rapid Prediction of Tsunamis and Storm Surges Using Machine Learning

    … accurate and efficient tsunami and storm surge prediction models are needed. However, existing physics-based numerical models have the disadvantage of being difficult to satisfy both accuracy and efficiency at the same time. In this dissertation, several surrogate models are developed using …

    vt Repository record for Rapid Prediction of Tsunamis and Storm Surges Using Machine Learning (opens in a new tab)

  2. Definition of Damage Volumes for the Rapid Prediction of Ship Vulnerability to AIREX Weapon Effects

    … thesis presents a damage model developed for the rapid prediction of the vulnerability of a ship concept design to AIREX weapon effects. The model uses simplified physics-based and empirical equations, threat charge size, geometry of the design, and the structure of the design as inputs. The …

    vt Repository record for Definition of Damage Volumes for the Rapid Prediction of Ship Vulnerability to AIREX Weapon Effects (opens in a new tab)

  3. Data-driven foundations of microstructure and plastic localization relationships in additively manufactured alloys

    … Second, a computer-vision pipeline generalizes rapid, statistical extraction of plasticity characteristics across alloys, and enabling orders-of-magnitude scale-up of statistical investigation of plasticity. It results in extending our fundamental understanding of AM microstructure effects on a …

    uiuc Repository record for Data-driven foundations of microstructure and plastic localization relationships in additively manufactured alloys (opens in a new tab)

  4. Mapping Ligand Binding Sites in hERG1 Channel with Biomolecular Simulations

    … gene 1 (hERG1) K+ ion channel generates the rapid delayed rectifier potassium current, or IKr, which is essential for the normal repolarization phase in the ventricular action potential. The drug-induced blockade of the channel is a frequent side effect of various classes of drugs which can …

    calgary Repository record for Mapping Ligand Binding Sites in hERG1 Channel with Biomolecular Simulations (opens in a new tab)

  5. Assessing the Effect of Wetland Connectivity on In-Stream Nitrate Concentrations Using an Integrated Wetland-River Network

    … the residuals. This work will allow for the more rapid prediction of nitrate watershed exports to inform where wetlands should be restored to reduce nitrate exports into waterways.

    vt Repository record for Assessing the Effect of Wetland Connectivity on In-Stream Nitrate Concentrations Using an Integrated Wetland-River Network (opens in a new tab)

  6. Characterization of soils via portable X-ray fluorescence spectrometer

    … the potential of using PXRF for soil pH and CEC prediction, using a diverse set of soil samples. The use of PXRF spectrometry for pH determination was investigated using elemental data as a proxy for soil pH. Two datasets representing a wide range of soil pH (4.17–8.70) were evaluated via PXRF …

    ttu Repository record for Characterization of soils via portable X-ray fluorescence spectrometer (opens in a new tab)

  7. Rock physics investigations using pressure oscillations

    … used for robust determination of permeability, rapid prediction of experimental results using numerical simulation and ultimately improving experimental permeability measurements. Throughout this dissertation I demonstrate the usefulness and applicability of pressure oscillations in experimental …

    colo-mines Repository record for Rock physics investigations using pressure oscillations (opens in a new tab)

  8. Bayesian methods for gravitational waves and neural networks

    … The trained networks can then be used for fast prediction of outputs for new sets of inputs. After demonstrating capabilities on toy data sets, I apply the ability of the network to classifying handwritten digits from the MNIST database and measuring ellipticities of galaxies in the Mapping Dark …

    cambridge Repository record for Bayesian methods for gravitational waves and neural networks (opens in a new tab)