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 13 of 13 for “"Density prediction"”.
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Large-Scale Unmanned Aerial Systems Traffic Density Prediction and Management
… in the near future, the complicated and high density UAS traffic will impose significant burden to air traffic management. Lot of works focus on the application development of individual Small Unmanned Aerial Systems (sUAS) or sUAS management Policy, however, the study of the UAS cluster …
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Development of a model for in-situ non-dry asphalt concrete density prediction using dielectric properties
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01
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Geometric Deep Learning for Biomolecules
… molecular representation learning for electron density prediction, and scalable molecular dynamics simulations using stochastic interpolants.
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Investigation of fluid properties at non-ambient conditions
… states theory was applied for compressed liquid density prediction. Improvement in density prediction in this region was found through use of iso-octane and heptadecane as reference fluids. Compressibility factors of these were represented by Tait-style equations. An iterative solution technique …
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Prediction of asphalt concrete pavement density from processing ground-penetrating radar compaction data
Achieving desired asphalt concrete (AC) density during compaction is essential to ensure flexible pavement performance. Approaches such as lab-testing of field cores, in-situ nuclear gauge measurements, and intelligent compaction prediction have shortcomings, such as limited area coverage, labor- …
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In situ determination of strength and stiffness of structural lumber and composite products
… and screw withdrawal force (SWF) for MOR and density prediction. Standard ASTM testing procedures were used to determine the actual properties and statistical relationships between these variables identified. Using the developed relationships, simple prediction models were developed to …
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Prediction of in-situ asphalt mixture density using ground penetrating radar: theoretical development and field verification
In-situ asphalt mixture density is critically important to the performance of flexible pavements: density that is too high, or too low, may cause early pavement distresses. Traditionally, two methods have been commonly used for in-situ asphalt mixture density measurement: laboratory testing on …
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The potential of QEMSCAN in predicting coal washability of Mpumalanga coals
… QEMSCAN has the ability to characterise particle density based on the mineralogical composition of the particle. The objective of this research is to determine if QEMSCAN is a viable alternative to float and sink analysis. Float and sink analysis typically requires coarse size fractions while …
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Essays on Bayesian Macroeconometrics
… to aid in model-based multivariate bond yield density forecasting. To do so, we develop a general estimation approach to incorporate volatility proxy information into dynamic factor models with stochastic volatility. We study the density prediction performance on U.S. bond yields of including …
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Development of GPR data analysis algorithms for predicting thin asphalt concrete overlay thickness and density
… pavement maintenance strategy. The thickness and density of thin AC overlay are important to achieving proper pavement performance, which can be evaluated using ground-penetrating radar (GPR). The traditional methods for predicting pavement thickness and density relies on the accurate …
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An Adaptive Computer Vision Technique for Estimating the Biomass and Density of Loblolly Pine Plantations using Digital Orthophotography and LiDAR Imagery
… carbon sequestered by forests, biomass and density estimates are often needed. This study develops, implements, and tests an individual tree-based algorithm for obtaining forest density and biomass using orthophotographs and small footprint LiDAR imagery. It was designed to work with a range …
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Development of algorithms for asphalt pavement compaction monitoring utilizing ground penetrating radar
The density of asphalt mixture plays an important role in the performance of asphalt pavement. Compaction is critical for achieving the desired density during the construction of asphalt pavement. To ensure successful compaction, the density of asphalt pavement should be monitored in a timely …
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Growth and demography of Quercus coccinea and Q. prinus ramets and genets after clearfelling
… attributes. In addition, clump size and clump density prediction equations did not differ between the species. In contrast, some of the structural attributes of the genets varied between species. The most important differences were more widely spaced stems in scarlet oak clumps and larger …