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Skip to Search Results- 1Adutwum, Lawrence A
- 1Armstrong, Michael D S
- 1Barker-Rothschild, Daniel
- 1Boers, Nicholas M.
- 1Cakiroglu, Celal
- 1Casciaro, Yolanda
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Application of chemometric and experimental tools for monitoring processes of industrial importance
DownloadFall 2019
The common theme of this work was to investigate the relationships between multi-dimensional experimental data and the physical and chemical properties of certain reacting systems that have industrial relevance. Three particular systems of increasing complexity in terms of composition of the...
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Fall 2019
The growth of an organization in the market relies on customer’s satisfaction towards its products and services. Due to the dynamic nature of the internet, and increasing blogs, forums, and customer feedback, it usually remains a key issue in any industry to identify and extract data attributes...
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Understanding the Chemistry of Conversion of Model Compounds and Biomass by Hydrous Pyrolysis Based on Spectroscopic Data Using Data Fusion, Data Mining, and Chemometrics
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Encoding the presence of multispecies in a complex system, difficulty in characterizing the physical constituents of the products with analytical instruments along with developing the causality or modeling between these groups are some major challenges in a complex system such as biomass...
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Latent Class and Functional Data Analyses for the Investigation of Stiffness in Low Back Pain
DownloadFall 2018
Low back pain (LBP) is known to be a prevalent, debilitating and costly condition, not to mention the difficulty clinicians have treating it. But progress has been made, as it has recently been shown that instrumented L3 indentation generates force-displacement (F-D) data that is associated with...
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Fall 2018
The purpose of this project was to examine the classification experiences of paraswimmers. Understanding paraswimmers’ classification experiences added to the literature, exploring issues related to the functional classification system with a goal to influence classifier training. This research...
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Algorithms for Adolescent Idiopathic Scoliosis Classification Based on Surface Topography Analysis
DownloadSpring 2018
While the common method for diagnosing and monitoring adolescents with idiopathic scoliosis (AIS) is X-ray radiographs from which a Cobb angle is measured, studies have shown that high radiation exposure is linked to high risk of cancer, particularly, for children and women. This thesis describes...
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Toward Practical Reinforcement Learning Algorithms: Classification Based Policy Iteration and Model-Based Learning
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In this dissertation, we advance the theoretical understanding of two families of Reinforcement Learning (RL) methods: Classification-based policy iteration (CBPI) and model-based reinforcement learning (MBRL) with factored semi-linear models. In contrast to generalized policy iteration, CBPI...
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Fall 2017
Advancements in data acquisition technologies and the desire for rich data has led to an increase in the size of data collected from modern analytical instruments. With the aid of chemometric techniques, researchers are still able to glean more useful information from these kinds of data than...
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Synchronisation and Wavelet Compression for Background Interference Classification in Wireless Environments
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Dense wireless deployment environments are increasingly facing Radio Frequency (RF) spectrum congestion and increased levels of interference. Addressing the interference will require a distributed decision-making application on wireless nodes, that characterize the state of the channel with...