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 20 of 606 for “"Computational efficiency"”.
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Increasing Computational Efficiency of Pre-Crash Simulations Using Detailed and Simplified Occupant Models
… on correlative measures of injury however the computational cost of simulations 1000 msec or greater is likely too high for practical use. During the pre-crash portion of an event a simplified version of the same model could be used and would provide kinematic information while providing …
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Improving Computational Efficiency of MRI Brain Tumour Analysis Using Hybrid Machine Learning Models
… By combining high precision with relatively low computational time, the SVM+VGG-19 hybrid model emerges as a robust way to deal with the MRI brain tumor segmentation problem, making it highly suitable for real-time image analysis.
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Power system analysis criteria-based computational efficiency enhancement for power flow and transient stability
Made available in DSpace on 2014-09-16T17:25:26Z (GMT). No. of bitstreams: 3 Soobae_Kim.pdf: 1313745 bytes, checksum: 0e6d8a9709a7222ca3471ebd545cb314 (MD5) Kim_Soobae.tex: 136779 bytes, checksum: 931c9b852258f804300a3ebc5fd336bb (MD5) license.txt: 4058 bytes, checksum: …
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Development of cochlear models with high computational efficiency by using spatial and parametric transformations
… Our goal is to develop methods to improve the efficiency of computational models of the cochlea for applications that require the solution accurately only within a basal region of interest, specifically by decreasing the number of spatial sections needed for simulation of the problem with good …
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Models and Methods for Random Fields in Spatial Statistics with Computational Efficiency from Markov Properties
… problems where traditional methods are too computationally intensive to use. A variation of the method using wavelet basis functions is proposed and using a simulation-based study, the wavelet approximations are compared with two of the most popular methods for efficient approximations of …
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Noise and error propagation in diffusion tensor imaging
… comparison in terms of error, filtering and computational efficiency using simulated and human brain data. These methods were Diffusion Tensor, Diffusion Ellipsoid, Hasan and Platonic Variance. The results showed similar trends across the simulated and real data sets. Of the four methods used …
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Combining Data-driven and Theory-guided Models in Ensemble Data Assimilation
… models still have their advantages, mainly in computational efficiency but also providing us with some special sauce that is unreachable by our current theories. This dissertation aims to provide a way in which both the accuracy of theory-guided models, and the computational efficiency of …
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Strawberry Detection Under Various Harvestation Stages
… were compared in terms of accuracy and computational efficiency. Computational efficiency is defined in terms of image resolution as testing on a smaller dimensional image is much quicker than larger dimensions. The CNN based implementation obtained the best results with an 88% accuracy …
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ENVIRONMENTAL RADIATION DOSE ASSESSMENT AND VALIDATION FOR URANIUM HEXAFLUORIDE STORAGE MANAGEMENT
… was to substantially improve the Monte Carlo computational efficiency by an order of magnitude or better as compared to the previous time-consuming methodology using the direct, standard simulation approach. The collateral objective was to support onsite storage of UF6 cylinders at uranium …
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Optimized Trajectory Generation for Car-Like Robots on a Closed Loop Track
… the continuous domain, the method has improved computational efficiency from many of the discrete methods used to generate an optimal path through a track. Also, when using a path to guide an autonomous vehicle, paths represented in the continuous domain can allow for better tracking and control …
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Trustworthy Learning and Uncertainty Quantification under Constraints
… capabilities, such as privacy preservation, computational efficiency, interpretability, robustness, and uncertainty quantification. This thesis focus on proposing novel techniques for critical requirements of trustworthy machine learning models, including uncertainty quantification, …
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Suitability of Quantized DEVS-LIM Methods for Simulation of Power Systems
… stiff and marginally stable systems, decreased computational burden, asynchronous variable updates, and suitability for high-stiff nonlinear systems, it still faced unresolved issues. One significant drawback pointed out by the QDL method’s creator but left unresolved was the presence of …
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Development of a Terrain Pre-filtering Technique applicable to Probabilistic Terrain using Constraint Mode Tire Model
… model and unfiltered terrain, with a significant computational efficiency improvement. In this work, a terrain pre-filtering technique is developed to improve simulation efficiency while still providing reliable load prediction. The work is divided into three parts. First a stochastic gridding …
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Statistical methods for gene set based significance analysis.
… to biological problems but also achieve computational efficiency. First, we propose a likelihood based approach assuming a finite mixture model for a two-class comparison problem and the implementation of the analysis is achieved by a likelihood ratio based testing approach. In addition …
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Learning symmetry-preserving interatomic force fields for atomistic simulations
… fashion is shown. The model's accuracy, its computational efficiency for training as well as its computational efficiency at time of prediction are evaluated. Finally, the approach is used in the simulation of different small organic molecules and the resulting Molecular Dynamics simulations …
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Development of an OpenFOAM Solver for Hydroacoustic Simulations: An Application for Acoustic Fish Deterrence
This project aims to develop computational tools for analyzing an underwater acoustic system designed to deter invasive fish species in the Mississippi River Basin. It leverages an established numerical framework (OpenFOAM) and deals with understanding how to model the system. The study prioritizes …
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A sequential approach of solving second order AC-DC load flow and state estimation problem
… ones are developed with a view to enhance the computational efficiency and convergence stability. Three new methods each for the ac-dc load flow and the ac-dc state estimation are developed and experimented in this thesis.
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Decoupling methods for the time-dependent Navier-Stokes-Darcy interface model
… algorithm, which can significantly improve the computational efficiency, for fast computation of multiple realizations of the stochastic Stokes-Darcy model with a random hydraulic conductivity tensor. Furthermore, we utilize the idea of artificial compressibility, which decouples the velocity …
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Uncertainty budgeting methods for conceptual aircraft design
… for a cost budget. For models that are computationally costly to evaluate, a surrogate modeling approach based on high dimensional model representation achieves efficient computation of the sensitivities. Example problems in aircraft conceptual design illustrate the approach. The first …
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