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Showing 1 to 20 of 81 for “"Parameter selection"”.

  1. Smoothing Parameter Selection In Nonparametric Functional Estimation

    … completely data-driven choices of the smoothing parameter in functional estimation, within the confines of minimal assumptions. The focus of the study will be within the framework of the estimation of the distribution function, the density function and their multivariable extensions along with …

    ucf

  2. Vision system parameter selection for flexible materials handling

    Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1988.

    mit Repository record for Vision system parameter selection for flexible materials handling (opens in a new tab)

  3. Parameter Selection for Improved Handling Performance of Automated Vehicles

    With the increasing popularity of autonomous vehicles, much research has been done focusing on vehicle vision and tracking ability, but the handling performance of the vehicle itself is still important, especially under emergency circumstances. However, production vehicles are developed with the …

    windsor Repository record for Parameter Selection for Improved Handling Performance of Automated Vehicles (opens in a new tab)

  4. Improvements in Pulse Parameter Selection for Electroporation-Based Therapies

    … as well as their interaction with other pulse parameters. Our central hypothesis is that tuning the latent periods will allow for improved ablation size with reduced muscle contractions over traditional waveforms. After gaining a simple understanding of how pulse width and delay interact in …

    vt Repository record for Improvements in Pulse Parameter Selection for Electroporation-Based Therapies (opens in a new tab)

  5. Development of framework for soil model input parameter selection procedures

    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2000.

    mit Repository record for Development of framework for soil model input parameter selection procedures (opens in a new tab)

  6. Online parameter selection for source separation using non-negative matrix factorization

    … we also present a study on how to select the parameters in the separation algorithm in order to deliver the best performance for denoising using a statistical metric we have defined.

    uiuc Repository record for Online parameter selection for source separation using non-negative matrix factorization (opens in a new tab)

  7. An integrative approach to process parameter selection in fused-silica capillary manufacturing

    Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1992 and Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1992.

    mit Repository record for An integrative approach to process parameter selection in fused-silica capillary manufacturing (opens in a new tab)

  8. Global solution to parametric complementarity constrained programs and applications in optimal parameter selection

    … Support Vector Machine Regression Parameters Selection Problem. The Support vector machine regression is a robust regression method to minimize the sum of deducted residuals, and thus is less sensitive to changes of data points near the regression hyperplane than the standard …

    uiuc Repository record for Global solution to parametric complementarity constrained programs and applications in optimal parameter selection (opens in a new tab)

  9. Computer integrated machining parameter selection in a job shop using expert systems and algorithms

    … research for this dissertation is focused on the selection of machining parameters for a job shop using expert systems and algorithms. The machining processes are analyzed in detail and rule based expert systems are developed for the analysis of process plans based on operation and work-material …

    vt Repository record for Computer integrated machining parameter selection in a job shop using expert systems and algorithms (opens in a new tab)

  10. Landscape Aware Algorithm Configuration

    The issue of parameter selection cannot be ignored if optimal performance is to be obtained from an algorithm on a specific problem or if a collection of algorithms are going to be compared in a fair manner. Unfortunately, adequately addressing the issue of parameter selection is time consuming and …

    brock Repository record for Landscape Aware Algorithm Configuration (opens in a new tab)

  11. An Information Theory Model For Optimizing Quantitative Magnetic Resonance Imaging Acquisitions

    … and diagnosis of disease from quantitative parameter values. Currently, acquisition parameter selection is performed empirically for quantitative MRI. Tuning parameters for different scan times, tissues, and resolutions requires some measure of trial and error. There is an opportunity to …

    uthsc Repository record for An Information Theory Model For Optimizing Quantitative Magnetic Resonance Imaging Acquisitions (opens in a new tab)

  12. Reduction of power supply EMI emission by switching frequency modulation

    … the effectiveness of the scheme. A guidance of parameter selection for noise reduction is given.

    vt Repository record for Reduction of power supply EMI emission by switching frequency modulation (opens in a new tab)

  13. Identifying Data Centers from Satellite Imagery

    … descriptor. A set of data to test and perform parameter selection for these procedures using 79 Landsat 8 imagery scenes was constructed. A cellular evolutionary algorithm was then utilized for parameter selection by training and testing support vector machine classifiers using LIBSVM from this …

    sdstate Repository record for Identifying Data Centers from Satellite Imagery (opens in a new tab)

  14. Investigation of the tau-leap method for stochastic simulation

    … algorithm allows us to propose an adaptive parameter selection algorithm which finds the appropriate parameter values needed to achieve a pre-determined error threshold in the tau-leap algorithm. This error-controlled adaptive parameter selection method could not have been proposed before …

    rice Repository record for Investigation of the tau-leap method for stochastic simulation (opens in a new tab)

  15. Structural Health Monitoring Using Deep Learning

    … by several limitations such complex manual parameter selection and restriction to measuring crack width in pixels.<br/><br/>To overcome the drawbacks of existing methods, this project aimed to develop an advanced deep learning image-based method for crack detection and measurement. The …

    southwales Repository record for Structural Health Monitoring Using Deep Learning (opens in a new tab)

  16. Network-level maintenance decisions for flexible pavement using a soft computing-based framework

    … optimisation (PSO) techniques require a manual selection of various control parameters for the velocity term. In contrast, the bare-bones PSO has the advantage of being velocity-free, hence, does not involve any parameter selection. The discrete barebones multi-objective PSO algorithm was …

    nott-trent Repository record for Network-level maintenance decisions for flexible pavement using a soft computing-based framework (opens in a new tab)

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