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Start Over Degree MS Year 2023 Keyword machine learning

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

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Restricted (Penn State Only)
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
File:
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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

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

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Restricted (Penn State Only)
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
File:
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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

3. Explainable AI (XAI) for Fault Detection and Classification in Microgrids Using a Real-time Simulation Framework

open_access
Open Access
Author:
Ajayi, Oluwadamilola
Title:
Explainable AI (XAI) for Fault Detection and Classification in Microgrids Using a Real-time Simulation Framework
Graduate Program:
Electrical Engineering (MS)
Keywords:
power systems protection
fault analysis
machine learning
real-time simulation
microgrid modeling
File:
Download Oluwadamilola_Ajayi_Thesis.pdf
Committee Members:
Peter Idowu, Thesis Advisor/Co-Advisor
Md Habib Ullah, Thesis Advisor/Co-Advisor
Rafic Bachnak, Professor in Charge/Director of Graduate Studies
Aldo W Morales, Committee Member

4. Expanding the Range of Hydropower Schedules to Maximize Nuclear and Hydro Generation: Machine Learning Techniques for Practical Sensitivity Analysis

open_access
Open Access
Author:
Barber, Nathan
Title:
Expanding the Range of Hydropower Schedules to Maximize Nuclear and Hydro Generation: Machine Learning Techniques for Practical Sensitivity Analysis
Graduate Program:
Civil Engineering (MS)
Keywords:
hydropower
nuclear
sensitivity analysis
ensembles
machine learning
clustering
hydrodynamic model
ANOVA
File:
Download Barber_Thesis_Final.pdf
Committee Members:
Alfonso Ignacio Mejia, Thesis Advisor/Co-Advisor
Steven J Greybush, Committee Member
Farshad Rajabipour, Program Head/Chair
Xiaofeng Liu, Committee Member

6. Evaluating the Reliability of Automatically Generated Pedestrian and Bicycle Crash Surrogates

open_access
Open Access
Author:
Sengupta, Agnimitra
Title:
Evaluating the Reliability of Automatically Generated Pedestrian and Bicycle Crash Surrogates
Graduate Program:
Civil Engineering (MS)
Keywords:
traffic safety
transportation engineering
vulnerable road user
pedestrian safety
bicycle safety
machine learning
statistical modeling
imbalanced data
surrogate safety measures
traffic conflict analysis
Bayesian optimization
File:
Download PSU_MS_Agnimitra_Sengupta.pdf
Committee Members:
S. Ilgin Guler, Thesis Advisor/Co-Advisor
Vikash V. Gayah, Committee Member
Patrick Fox, Program Head/Chair
Xianbiao Hu, Committee Member