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Fall 2022
The sustainability of urban cities is contingent upon the adequate performance of their infrastructure. The transportation system is one of the crucial components of the city infrastructure and the sustainability and the economic development of a city depend on its proper operation. Monitoring...
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Toward Direct Thermal-to-Electric Conversion: On-chip Microreactors for Catalytic Combustion of Methanol-Air Mixture
DownloadFall 2014
In this thesis, on-chip microreactors for catalytic combustion of methanol-air mixture were designed, fabricated and characterized. Using standard optical lithography, deep reactive-ion etching (DRIE) and other fabrication techniques, microreactors with integrated micropillars having four...
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Fall 2017
Increasingly stringent environmental regulations for the sulfur content in fuels pose significant technological challenges for refineries. Current single-stage hydrodesulfurization (HDS) technologies are not efficient enough to achieve ultra-deep levels of sulfur, 10 ppmw S for transportation,...
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Spring 2021
Emphatic-Temporal-Difference (Emphatic-TD) learning algorithms were recently proposed based on the most central and widely used reinforcement learning algorithms, Temporal-Difference (TD) methods. Emphatic-TD learning algorithms were originally designed to solve the divergence problem of...
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Fall 2019
Stochastic computing (SC) is an alternative computing paradigm originally proposed to reduce the size of digital arithmetic circuits. In SC, a number is encoded and represented by a stream of random bits or stochastic sequence (e.g., a Bernoulli sequence). Computations can be performed by...
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Spring 2021
The backpropagation algorithm is a fundamental algorithm for training modern artificial neural networks (ANNs). However, it is known the backpropagation algorithm performs poorly on changing problems. We demonstrate the backpropagation algorithm can perform poorly on a clear, generic, changing...
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Fall 2015
Electronic decision support systems have the potential to improve healthcare practices in many domains. This thesis investigates the use of data-driven decision support to help optimize brace treatment for children who have Adolescent Idiopathic Scoliosis (AIS). AIS is a spinal deformity...