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Browse Graduate Dissertations and Theses at Illinois by Title
Now showing items 25752-25771 of 47915
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(2018-01-23)Recent advances in computing power have facilitated the use of computational simulations as design guidelines in a range of fields including the semiconductor industry, biosensors, microfluidic devices, and even nano-sized ...
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(1987)The purpose of this study was: (1) to describe the present ethnic situation of the Italian immigrants who participate in some type of voluntary ethnic association in the city of S ao Paulo, Brazil; and (2) to analyze the ...
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(2009)In this dissertation I argue that Machado de Assis's short stories represent an important forum for the articulation and understanding of concepts of race in modern Brazil. I substantiate that claim by analyzing ten of his ...
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(2006)The concepts and structure of the EMD framework are described in this dissertation. The implementation and use of the EMD within a parallelizing compiler framework are also described. Finally, the effectiveness of this ...
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(2017-04-21)“Does bigger data lead to better decisions?” has been a frequent question for discussion among many decision makers—data scientists as well as organizational leaders and managers. Educational institutions, finance, and the ...
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(2016-10-26)Although GPS-based travel data has been studied by many mainly for automated travel mode detection, the area of activity mode detection during harvest still remains an open technical challenge. This thesis proposes and ...
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(1993)Classical planning techniques have some serious problems when employed in real-world domains. In classical planning, it is assumed we know the current state of the world and can project that state through a reasonably ...
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(2015-12-07)This thesis reports the investigations into the task of phone-level pronunciation error detection, the performance of which is heavily affected by the imbalanced distribution of the classes in a manually annotated data set ...
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PDF (761kB)
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(2018-01-31)Accurate star-galaxy classification has many important applications in modern precision cosmology. However, a vast number of faint sources that are detected in the current and next-generation ground-based surveys may be ...
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(2020-05-14)Genetic studies often involve huge number of covariants that interact with each other, in the form of expressions or mutations. It is crucial to mine important covariants associated with different diseases for better ...
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(2019-04-19)Enhancing building energy efficiency is one of the best strategies to reduce energy consumption and associated CO2 emissions. Recent studies emphasized the importance of occupant behavior as a key means of enhancing building ...
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(2003)The dissertation presents a number of novel machine learning techniques and applies them to information extraction. The study addresses several information extraction subtasks: part of speech tagging, entity extraction, ...
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(2019-12-13)In this thesis, we show how to deploy machine learning techniques such as Gaussian process regression to approximate the European basket option prices. For the underlying asset of European basket option, we assume it follows ...
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PDF (469kB)
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(2018-07-16)I/O is one of the main performance bottlenecks for many data-intensive scientific applications. Accurate I/O performance benchmarking, which can help us better understand the causes of these bottlenecks and to guide the ...
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(2018-07-09)This thesis presents three distinct machine learning algorithms based on the mathematical formalism and physical idea of diffusion processes. First, the idea of using heat diffusion on a hypersphere to measure similarity ...
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(2020-05-29)Machine learning has been playing an increasingly important role in many fields of computational physics, including molecular simulation. In this thesis, I report my work on machine learning method developments for molecular ...
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(2006)We follow a similar approach and use a classifier learning system to generate high performance libraries for matrix-matrix multiplication. Our library generator produces matrix multiplication routines that use recursive ...
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(2016-12-09)Railroad ballast is a layer of uniform sized crushed aggregate particles placed between, below and around the crossties. Railroad ballast transfers the load from crossties to the subgrade layer, provides lateral track ...
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(2019-04-22)Many state-of-the-art deep learning models rely on dynamic computation logic, making them difficult to optimize. In this thesis, we present a hashing based algorithm that is able to detect and optimize computation logic ...
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(2019-10-03)The increasing availability of heterogeneous bridge data from multiple sources opens unprecedented opportunities for data analytics to better predict bridge deterioration for supporting enhanced bridge maintenance decision ...
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Now showing items 25752-25771 of 47915