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1. An Analysis and Framework for Multi-label Image Classification of Insect Taxonomy with Convolutional Neural Networks

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Author:
Pham, Viet
Title:
An Analysis and Framework for Multi-label Image Classification of Insect Taxonomy with Convolutional Neural Networks
Graduate Program:
Computer Science and Engineering (MS)
Keywords:
multi-label image classification
image classification
computer vision
machine learning
insect taxonomy
convolutional neural networks
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Committee Members:
Chitaranjan Das, Program Head/Chair
Vijaykrishnan Narayanan, Thesis Advisor/Co-Advisor
John Morgan Sampson, Committee Member

2. Machine Learning Approach for Prediction of Relative Permeability

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Author:
Yoga, Hanif
Title:
Machine Learning Approach for Prediction of Relative Permeability
Graduate Program:
Energy and Mineral Engineering (MS)
Keywords:
machine learning
artificial intelligence
artificial neural network
relative permeability
hysteresis
equation of state
multiphase flow in porous media
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Committee Members:
Mort Webster, Professor in Charge/Director of Graduate Studies
Russell Taylor Johns, Thesis Advisor/Co-Advisor
Hamid Emami-Meybodi, Committee Member
Yashar Mehmani, Committee Member

3. Identification of Rossby Wave Breaking Flavors using Self-Organizing Maps

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Author:
La Chat, Grant
Title:
Identification of Rossby Wave Breaking Flavors using Self-Organizing Maps
Graduate Program:
Meteorology and Atmospheric Science (MS)
Keywords:
machine learning
self-organizing maps
anticyclones
cyclogenesis
Potential vorticity
Rossby waves
Wave breaking
Synoptic meteorology
moisture transport
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Committee Members:
David Stensrud, Program Head/Chair
Melissa Marie Gervais, Thesis Advisor/Co-Advisor
Steven B Feldstein, Committee Member
Kevin Andrew Bowley, Thesis Advisor/Co-Advisor
Colin M. Zarzycki, Committee Member

4. Quantifying the Spatiotemporal Inundation Patterns of Tundra Polygonal Ground and Its Relationship with Arctic Climate

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Author:
Di Domenico, Nicolle
Title:
Quantifying the Spatiotemporal Inundation Patterns of Tundra Polygonal Ground and Its Relationship with Arctic Climate
Graduate Program:
Geography (MS)
Keywords:
geomorphology
Arctic
polygonal ground
geography
remote sensing
machine learning
climate change
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Committee Members:
Shujie Wang, Thesis Advisor/Co-Advisor
Manzhu Yu, Committee Member
Brian King, Program Head/Chair
Elizabeth Herndon, Special Signatory