Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"Optimal Accuracy"”.
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A fast enriched FEM for Poisson equations involving interfaces
… enriched basis functions to make sure that the optimal convergence rates are obtained. Here, the FFT is applied in the fast Poisson solver to significantly accelerate the computational processes for solving the global matrix system. With reasonably small interfaces, the operational cost is …
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A projected multigrid method for the solution of non-linear finite element problems on adaptively refined grids
… with locally adaptive mesh refinement and an optimal multigrid solver to achieve this efficiency. The novel contribution of this work lies in the manner in which these two techniques are combined. In particular the multigrid solver provides a natural and simple method of handling grid points …
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Hierarchical Bayesian Dataset Selection
… identifying all relevant datasets, achieving optimal accuracy with fewer computational steps, even when initial model accuracy is low. Specifically, HBDS surpasses its non-hierarchical counterpart by 1.8% on DIGIT-FIVE and 0.7% on DOMAINNET, on average. In settings with limited resources, HBDS …
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Deriving a Closed-Form Solution for Over-Actuated Surface Vessels with Actuator Constraints
… independent, steerable thrusters that achieves optimal accuracy with constant-time complexity. The proposed framework recasts allocation as an analytic inverse-kinematics problem. The attainable force workspace is partitioned into sixteen mutually exclusive operating classes, each defined by …
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A neuro-genetic hybrid approach to automatic identification of plant leaves
… cost with respect to time and increased the accuracy of the classifier used. The algebraic nature of the GA’s fitness function ensures good performance of the GA. Furthermore, GA was also used to optimize the parameters of a CNN (CNN for image segmentation) and then uniquely combined with PNN …
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Machine Learning Based Prediction of Reinforced Concrete Members’ Shear Friction Capacity
… using limited sample data sets;thus, their accuracy is limited to the range covered by the data. In order to overcome this limitation, the present thesis proposes two machine learning models drawn from an extensive database to predict the shear friction capacity in reinforced concrete (RC) …
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Gyvūnų aptikimas keliuose /
… make on a SSD based object detection algorithms accuracy and inference speed. The changes in MobileNetV2 feature extractors convolutional layers widths did not result in optimal accuracy and inference speed trade-off. Widening the layers caused the model to make slightly more accurate animal …
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Classifying Sidewalk Materials Using Multi-Modal Data
… methods for assessing sidewalk materials are suboptimal, often relying on labor-intensive and expensive manual assessments that fail to capture the full range of sidewalk features critical to individuals with BLV.</p> <p>In response to this problem, this master’s thesis investigates deep learning …
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Forensic Application of Chemometric Analysis to Visible Absorption Spectra Collected from Dyed Textile Fibers
… here. The SWGMAT method performed with 62.7% accuracy, the optimal accuracy rate for the score value method was 75.9%, and the accuracy rates for swatch-yarn and denim comparisons, respectively, are 97.7% and 67.1% when the LR method was applied.
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Evaluation of printing orientation, layer thickness and auxilary cross-arch bar in 3-dimensional dental printing on the trueness and precision of full arch polymeric fixed dental prostheses
OBJECTIVES: Evaluate the accuracy (Trueness and Precision) of 3D-printed full-arch fixed dental prostheses by examining the effects of different printing angulations, layer thicknesses, and the inclusion of a horizontal cross-arch bar. MATERIALS AND METHODS: Two 3D-printed dental resin materials …
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Efficient localization methods for a point source and rigid body
… region subproblems (GTRS) technique but with non-optimal accuracy, therefore we add proper range weighting (SR-WLS) into it and investigate the resulting performances of mean squared error (MSE) and bias. Its asymptotic efficiency is proven theoretically and validated by simulations. The effects …