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Skip to Search Results- 1Adutwum, Lawrence A
- 1Alireza Kheradmand
- 1Armstrong, Michael D S
- 1Barker-Rothschild, Daniel
- 1Boers, Nicholas M.
- 1Cakiroglu, Celal
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The Estimation of Buttresses Volume and Classification of Leaf, Wood, and Lianas from Terrestrial Laser Scanning data
DownloadSpring 2023
Forests account for one third of land area, and two third of global photosynthesis. The better we know about forests, the better decisions we can make on forest management and carbon cycle modeling. During the last decades, we see the development in remote sensing techniques for forest...
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Fall 2015
This dissertation synthesizes theoretical developments in linguistics and anthropology in order to tackle questions in lexical semantics and Athapaskan historical linguistics. This dissertation aims at contributing both to theoretical development of diachronic lexical semantics and to provide...
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Tools and Methodologies for The Rapid Determination and Transfer of Thermodynamic Parameters used in the Prediction of Gas Chromatographic and Two Dimensional Comprehensive Gas Chromatographic Retention Times
DownloadFall 2014
Three parameter thermodynamic predictive models have been shown previously to provide superior accuracy in the prediction of gas chromatographic retention times in comparison to other forms of modelling such as retention indices. However, these models suffer from the need for extensive...
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Toward Practical Reinforcement Learning Algorithms: Classification Based Policy Iteration and Model-Based Learning
DownloadSpring 2017
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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Understanding the Chemistry of Conversion of Model Compounds and Biomass by Hydrous Pyrolysis Based on Spectroscopic Data Using Data Fusion, Data Mining, and Chemometrics
DownloadFall 2019
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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Fall 2021
Deep neural network (DNN) has been developed rapidly in years. While it shows promising results in various tasks of computer vision, DNN typically suffers from accuracy loss due to the domain shift from a source domain to a target domain. To mitigate the accuracy loss without the label from...
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Fall 2011
In this thesis, we focus on topics relevant to developing and deploying large-scale wireless sensor network (WSN) applications within real dynamic urban environments. Given few reported experiences in the literature, we designed our own such network to provide a foundation for our research. The...