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2. ANGEL: A HYBRID CONTENT-BASED FILTERING TOOL FOR PROTECTING TEENS’ SAFETY IN ONLINE SOCIAL NETWORK

open_access
Open Access
Author:
Zhang, Lei
Title:
ANGEL: A HYBRID CONTENT-BASED FILTERING TOOL FOR PROTECTING TEENS’ SAFETY IN ONLINE SOCIAL NETWORK
Graduate Program:
Computer Science and Engineering
Keywords:
Teens　
Social network
Filtering
Machine Learning
File:
Download Theis_.pdf
Committee Members:
Sencun Zhu, Thesis Advisor/Co-Advisor
Sencun Zhu, Thesis Advisor/Co-Advisor
Daniel Knifer, Thesis Advisor/Co-Advisor

7. Automatically Extracting Semantic Scholarly Entities from Academic Papers

open_access
Open Access
Author:
Wang, Kaiyu
Title:
Automatically Extracting Semantic Scholarly Entities from Academic Papers
Graduate Program:
Computer Science and Engineering
Keywords:
Information Extraction
Scholarly Entity
Machine Learning
Natural Language Processing
File:
Download Kaiyu_Wang_thesis__final_version.pdf
Committee Members:
C.Lee Giles, Thesis Advisor/Co-Advisor
C.Lee Giles, Committee Member
Jesse Louis Barlow, Committee Member

8. ONLINE DISCONTINUITY DETECTION IN METALLIC POWDER BED FUSION ADDITIVE MANUFACTURING PROCESSES USING VISUAL INSPECTION SENSORS AND SUPERVISED MACHINE LEARNING

open_access
Open Access
Author:
Gobert, Christian J
Title:
ONLINE DISCONTINUITY DETECTION IN METALLIC POWDER BED FUSION ADDITIVE MANUFACTURING PROCESSES USING VISUAL INSPECTION SENSORS AND SUPERVISED MACHINE LEARNING
Graduate Program:
Mechanical Engineering
Keywords:
Additive Manufacturing
Machine Learning
Powder Bed Fusion
Flaw Detection
Image Processing
File:
Download Gobert_Thesis-2017.pdf
Committee Members:
Asok Ray, Thesis Advisor/Co-Advisor
Shashi Phoha, Committee Member
Edward Reutzel, Committee Member
Guha Manogharan, Committee Member
Jan Petrich, Committee Member

12. Radio Frequency Fingerprinting Devices in Indoor Environments via Vector Sensing and Machine Learning

open_access
Open Access
Author:
Hall, Donald L
Title:
Radio Frequency Fingerprinting Devices in Indoor Environments via Vector Sensing and Machine Learning
Graduate Program:
Electrical Engineering
Keywords:
Emitter Localization
Emitter Identification
Machine Learning
Vector Sensing
Radio Frequency Fingerprinting
Indoor Environment
File:
Download Donald_Hall-MS_Thesis.pdf
Committee Members:
Ram Mohan Narayanan, Thesis Advisor/Co-Advisor
David Marion Jenkins Jr., Committee Member
Erik Henry Lenzing, Committee Member

14. DEVELOPMENT AND APPLICATION OF AN ARTIFICIAL-NEURAL-NETWORK-BASED ANALYSIS AND DESIGN TOOL FOR CHEMICAL ENHANCED OIL RECOVERY (ALKALINE-SURFACTANT-POLYMER) FIELD IMPLEMENTATIONS

open_access
Open Access
Author:
Abdullah, Mohammad B
Title:
DEVELOPMENT AND APPLICATION OF AN ARTIFICIAL-NEURAL-NETWORK-BASED ANALYSIS AND DESIGN TOOL FOR CHEMICAL ENHANCED OIL RECOVERY (ALKALINE-SURFACTANT-POLYMER) FIELD IMPLEMENTATIONS
Graduate Program:
Energy and Mineral Engineering
Keywords:
ANN
EOR
cEOR
Enhanced Oil Recovery
Machine Learning
Artificial Neural Network
Field Implementation
File:
Download Mohammad_Abdullah_final.pdf
Committee Members:
Hamid Emami-Meybodi, Thesis Advisor/Co-Advisor
Turgay Ertekin, Thesis Advisor/Co-Advisor
Gregory R King, Committee Member

15. Learning Capabilities of Neural Network and Keplerian Dynamics

open_access
Open Access
Author:
Gueho, Damien
Title:
Learning Capabilities of Neural Network and Keplerian Dynamics
Graduate Program:
Aerospace Engineering
Keywords:
Machine Learning
Artificial intelligence
Neural Network
capabilities
Learn
two-body problem
residual neural network
feed-forward neural network
dynamic system
dynamical system
approximation
prediction
recurrent model
data set
File:
Download Gueho_Damien-Dissertation.pdf
Committee Members:
Puneet Singla, Thesis Advisor/Co-Advisor
Robert Graham Melton, Thesis Advisor/Co-Advisor

16. Empirical Evaluation of the Efficient Market Hypothesis: A Machine Learning Approach

open_access
Open Access
Author:
Wright, Isaac
Title:
Empirical Evaluation of the Efficient Market Hypothesis: A Machine Learning Approach
Graduate Program:
Statistics
Keywords:
Machine Learning
Financial Markets
Efficient Market Hypothesis
Random Forest
Boosting
GLM
stocks
File:
Download IsaacWright_Thesis.pdf
Committee Members:
Matthew Logan Reimherr, Thesis Advisor/Co-Advisor
Jia Li, Committee Member
John C Liechty, Committee Member
Ephraim Mont Hanks, Program Head/Chair

17. Unsupervised Deep Learning Approach For Photoacoustic Spectral Unmixing.

open_access
Open Access
Author:
Durairaj, Deepit Abhishek
Title:
Unsupervised Deep Learning Approach For Photoacoustic Spectral Unmixing.
Graduate Program:
Electrical Engineering
Keywords:
Spectral Unmixing
Machine Learning
Autoencoders
Unsupervised Learning
Photoacoustic Imaging
File:
Download Deepit_Durairaj_Thesis.pdf
Committee Members:
Sri-Rajasekhar Kothapalli, Thesis Advisor/Co-Advisor
David Jonathan Miller, Thesis Advisor/Co-Advisor
William Evan Higgins, Committee Member
Sri-Rajasekhar Kothapalli, Program Head/Chair

18. Applications of artificial intelligence and machine learning in healthcare: A cardiovascular case

open_access
Open Access
Author:
Alamoudi, Hassan
Title:
Applications of artificial intelligence and machine learning in healthcare: A cardiovascular case
Graduate Program:
Industrial Engineering
Keywords:
Artificial Intelligence
Machine Learning
Healthcare
Cardiovascular
File:
Download Hassan_Alamoudi-MS_Thesis_Dec_2019.pdf
Committee Members:
Soundar Rajan Tirupatikumara, Thesis Advisor/Co-Advisor
Robert Carl Voigt, Program Head/Chair
Hui Yang, Committee Member
Robert Carl Voigt, Special Signatory

20. An Artificially Intelligent System for the Automated Issuance of Tornado Warnings in Simulated Convective Storms

open_access
Open Access
Author:
Steinkruger, Dylan
Title:
An Artificially Intelligent System for the Automated Issuance of Tornado Warnings in Simulated Convective Storms
Graduate Program:
Meteorology
Keywords:
Convective Storms
Tornadoes
Prediction
Artificial Intelligence
Machine Learning
File:
Download SteinkrugerThesisFinal.pdf
Committee Members:
Paul Markowski, Thesis Advisor/Co-Advisor
George Spencer Young, Thesis Advisor/Co-Advisor
David Jonathan Stensrud, Committee Member
David Jonathan Stensrud, Program Head/Chair

22. Characterizing Implicit Cognitive Process in Engineering Design Across Contexts using Machine Learning Methods

open_access
Open Access
Author:
Malviya, Manoj
Title:
Characterizing Implicit Cognitive Process in Engineering Design Across Contexts using Machine Learning Methods
Graduate Program:
Mechanical Engineering
Keywords:
Engineering
Design
Machine Learning
Education
Design Thinking
File:
Download MANOJ_THESIS_FINAL_.pdf
Committee Members:
Catherine G P Berdanier, Thesis Advisor/Co-Advisor
Christopher Carson Mccomb, Committee Member
Daniel Connell Haworth, Program Head/Chair

23. Application of Data Driven Machine Learning Methodologies for Predicting Reamining Useful Life of Equipment

open_access
Open Access
Author:
Ren, Zihan
Title:
Application of Data Driven Machine Learning Methodologies for Predicting Reamining Useful Life of Equipment
Graduate Program:
Energy and Mineral Engineering
Keywords:
Machine Learning
Remaining useful life estimation
turbofan engine
Oil and gas equipment
File:
Download MS-thesis-ZihanRen.pdf
Committee Members:
Sanjay Srinivasan, Thesis Advisor/Co-Advisor
Mort D Webster, Committee Member
Eugene C Morgan, Committee Member
Sanjay Srinivasan, Program Head/Chair

24. Applications of Analytics in Disease Prediction Types

open_access
Open Access
Author:
Tsai, Cheng Yi
Title:
Applications of Analytics in Disease Prediction Types
Graduate Program:
Data Analytics (MS)
Keywords:
Landmark Gens
Cancer Types
Disease Type Prediction
Machine Learning
Analytics Model
File:
Download APPLICATIONS_OF_ANALYTICS_IN_DISEASE_PREDICTION_TYPES.pdf
Committee Members:
Colin Neill, Program Head/Chair
Satish Mahadevan Srinivasan, Thesis Advisor/Co-Advisor
Raghu Sangwan, Committee Member
Youakim Badr, Committee Member
Colin Neill, Committee Member
Partha Mukherjee, Committee Member

25. Adversarial Attacks and Defense in Long Short-Term Memory Recurrent Neural Networks

open_access
Open Access
Author:
Schuessler, Joseph
Title:
Adversarial Attacks and Defense in Long Short-Term Memory Recurrent Neural Networks
Graduate Program:
Electrical Engineering (MS)
Keywords:
Adversarial Attacks
Data Poisoning
Recurrent Neural Networks
LSTM
Deep Learning
Machine Learning
File:
Download SchuesslerThesis.pdf
Committee Members:
Kultegin Aydin, Program Head/Chair
David Jonathan Miller, Thesis Advisor/Co-Advisor
George Kesidis, Committee Member
Carina Pamela Curto, Committee Member

26. Insights on the use of Machine Learning to Predict Retention of Career Soldiers in the United States Army

open_access
Open Access
Author:
Garcia, Miguel
Title:
Insights on the use of Machine Learning to Predict Retention of Career Soldiers in the United States Army
Graduate Program:
Data Analytics (MS)
Keywords:
Artificial Intelligence
Machine Learning
AI
Deep Learning
Decision Tree
Logistic Regression
Random Forest
XGBoost
Artificial Neural Network
Deep Neural Network
U.S. Army
Military
Attrition
Retention
Person-Event Data Environment
PDE
Department of Defense
DoD
Army Analytics Group
AAG
Naive Bayes
Active Duty
Enlistment
Commissioned Officers
Soldiers
Area Under the Curve
AUC
Data Analytics
Retirement
MEDPROS
PHA
MEPCOM
DTMS
ATMS
ROC Curve
Variable Importance
Preprocessing
Data Quality
File:
Download Insights_on_the_use_of_AI_to_Predict_Retention_of_Career_Soldiers_in_the_US_Army.pdf
Committee Members:
Colin Neill, Program Head/Chair
Partha Mukherjee, Thesis Advisor/Co-Advisor
Guanghua Qiu, Committee Member
Youakim Badr, Thesis Advisor/Co-Advisor

27. Machine Learning in Cardiac Diseases - Comparison of Performance of Selected Algorithms

open_access
Open Access
Author:
Lee, Beom Ki
Title:
Machine Learning in Cardiac Diseases - Comparison of Performance of Selected Algorithms
Graduate Program:
Industrial Engineering (MS)
Keywords:
Machine Learning
Healthcare
Classification
Supervised Learning
Prediction
Data Analysis
Data Science
Cardiovascular
File:
Download BKLEE_Thesis_FinalDraft.pdf
Committee Members:
Steven James Landry, Program Head/Chair
Soundar Kumara, Thesis Advisor/Co-Advisor
Paul Griffin, Committee Member

28. Laboratory Earthquake Prediction using Deep Learning

open_access
Open Access
Author:
Girkar, Vrushali Sanjay
Title:
Laboratory Earthquake Prediction using Deep Learning
Graduate Program:
Computer Science and Engineering (MS)
Keywords:
Machine Learning
Deep Learning
Earthquake Prediction
Time-Series Prediction
Supervised Regression Problem
Automatic Feature Extraction
File:
Download Vrushali_Thesis.pdf
Committee Members:
Chitaranjan Das, Program Head/Chair
Daniel Kifer, Thesis Advisor/Co-Advisor
C Lee Giles, Committee Member
Parisa Shokouhi, Committee Member

29. Understanding and Predicting Retractions of Published Works

open_access
Open Access
Author:
Modukuri, Sai Ajay
Title:
Understanding and Predicting Retractions of Published Works
Graduate Program:
Computer Science and Engineering (MS)
Keywords:
Machine Learning
Reproducibility
Psychology
File:
Download Thesis_retraction_classifier-5.pdf
Committee Members:
Chitaranjan Das, Program Head/Chair
C. Lee Giles, Thesis Advisor/Co-Advisor
Sarah Rajtmajer, Thesis Advisor/Co-Advisor
Jian Wu, Special Signatory
Rui Zhang, Committee Member

31. Cross-Species Prediction of Transcription Factor Binding

restricted_to_institution
Restricted (Penn State Only)
Author:
Agarwala, Vandana
Title:
Cross-Species Prediction of Transcription Factor Binding
Graduate Program:
Statistics (MS)
Keywords:
Bioinformatics
Deep Learning
Gene Regulation
Domain Adaptation
Transfer Learning
Computational Biology
Machine Learning
File:
Login to Download
Committee Members:
Shaun Mahony, Thesis Advisor/Co-Advisor
Qunhua Li, Thesis Advisor/Co-Advisor
Ephraim Hanks, Professor in Charge/Director of Graduate Studies
Xiang Zhu, Committee Member

32. SECURITY PATTERN DETECTION IN SOFTWARE CODE USING MACHINE LEARNING ALGORITHMS

restricted_to_institution
Restricted (Penn State Only)
Author:
Cha, Joonyoung
Title:
SECURITY PATTERN DETECTION IN SOFTWARE CODE USING MACHINE LEARNING ALGORITHMS
Graduate Program:
Cybersecurity Analytics and Operations (MS)
Keywords:
Security Pattern
Software Code
Machine Learning
Security Pattern Detection (SPD)
Convolutional Neural Network
Long Short-Term Memory
Security
vulnerability
File:
Login to Download
Committee Members:
Jungwoo Ryoo, Thesis Advisor/Co-Advisor
David Joseph Fusco, Committee Member
Mary Beth Rosson, Program Head/Chair
Philip Laplante, Committee Member

33. Stochastic Models to Generate Sound Speed Ensembles and Calculate Transmission Loss Ensembles at the New England Shelf Break Using Empirical Orthogonal Functions and Sparse Dictionary Learning

open_access
Open Access
Author:
Benit, Simeon
Title:
Stochastic Models to Generate Sound Speed Ensembles and Calculate Transmission Loss Ensembles at the New England Shelf Break Using Empirical Orthogonal Functions and Sparse Dictionary Learning
Graduate Program:
Acoustics (MS)
Keywords:
Stochastic Model
Empirical Orthogonal Functions
Machine Learning
Acoustics
Underwater Acoustics
Principal Component Analysis
PCA
EOF
Dictionary Learning
Sparse Dictionary Learning
K-SVD
Orthogonal Matching Pursuit
Sound Speed Profiles
Range-dependent Acoustic Model
Transmission Loss
New England Shelf Break
File:
Download BenitThesis_final.pdf
Committee Members:
Andrew Barnard, Program Head/Chair
Ying-Tsong Lin, Committee Member
Daniel C. Brown, Committee Member
James Miller, Special Signatory
Andrew Barnard, Thesis Advisor/Co-Advisor
Daniel C. Brown, Thesis Advisor/Co-Advisor

34. Object detection using drone-based aerial imagery in urban planning and land development projects

open_access
Open Access
Author:
Deokuliar, Harsh
Title:
Object detection using drone-based aerial imagery in urban planning and land development projects
Graduate Program:
Data Analytics (MS)
Keywords:
Urban development
Machine Learning
Computer Vision
Object detection
UAV Imagery
File:
Download Harsh_Deokuliar_Thesis.pdf
Committee Members:
Raghu Sangwan, Program Head/Chair
Raghu Sangwan, Thesis Advisor/Co-Advisor
Youakim Badr, Committee Member
Adrian Sorin Barb, Committee Member

35. Link Prediction on Heterophilic Graphs via Disentangled Representation Learning

open_access
Open Access
Author:
Zhou, Shijie
Title:
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning
Graduate Program:
Informatics (MS)
Keywords:
Graph Learning
Heterophilic Graph
Disentangled Representation Learning
Machine Learning
File:
Download Shijie_Zhou_thesis.pdf
Committee Members:
Suhang Wang, Thesis Advisor/Co-Advisor
Dongwon Lee, Committee Member
Jeffrey Bardzell, Program Head/Chair
Xiang Zhang, Committee Member

36. Inferring Aliasing and Buffer Size Relationship in C via Graph Neural Networks

open_access
Open Access
Author:
Liang, Ke
Title:
Inferring Aliasing and Buffer Size Relationship in C via Graph Neural Networks
Graduate Program:
Computer Science and Engineering
Keywords:
Programming Language
Machine Learning
Link Prediction
Graph Neural Networks
Aliasing and Buffer Size Relationship
Code Analysis
File:
Download Liang_Ke_Thesis__1_.pdf
Committee Members:
Gang Tan, Thesis Advisor/Co-Advisor
Mehrdad Mahdavi, Committee Member
Chitaranjan Das, Program Head/Chair

38. Feeding the machine: Challenges to Reproducible Predictive Modeling in Resting-State Connectomics

open_access
Open Access
Author:
Cwiek, Andrew
Title:
Feeding the machine: Challenges to Reproducible Predictive Modeling in Resting-State Connectomics
Graduate Program:
Psychology (MS)
Keywords:
Neuroimaging
Machine Learning
Psychology
rsfMRI
Review
Reproducibility
File:
Download AndrewCwiek_Final_Corrections.pdf
Committee Members:
Frank Gerard Hillary, Thesis Advisor/Co-Advisor
Peter Andrew Arnett, Committee Member
Amy Marshall, Professor in Charge/Director of Graduate Studies
Bradley Paul Wyble, Committee Member

39. Action classification for videos in sports

open_access
Open Access
Author:
Dasari, Chandu
Title:
Action classification for videos in sports
Graduate Program:
Computer Science and Engineering (MS)
Keywords:
Computer Vision
Sports Analytics
Human Pose Estimation
Open Pose
YoloV5
Machine Learning
Deep Learning
File:
Download Thesis_Chandu_Dasari.pdf
Committee Members:
Chitaranjan Das, Program Head/Chair
Mahanth Gowda, Thesis Advisor/Co-Advisor
Mahmut Taylan Kandemir, Thesis Advisor/Co-Advisor
Bhuvan Narendra Urgaonkar, Thesis Advisor/Co-Advisor

41. Using Delta-Machine Learning to Accurately Predict Molecular Polarizabilites

restricted_to_institution
Restricted (Penn State Only)
Author:
Chaudhry, Imran
Title:
Using Delta-Machine Learning to Accurately Predict Molecular Polarizabilites
Graduate Program:
Chemistry (MS)
Keywords:
Raman Spectroscopy
Electronic Structure Theory
Machine Learning
Chemistry
File:
Login to Download
Committee Members:
Lasse Jensen, Thesis Advisor/Co-Advisor
Edward Patrick O'Brien, Jr., Committee Member
Philip Bevilacqua, Program Head/Chair
Benjamin James Lear, Committee Member
Sharon Xiaolei Huang, Committee Member

42. Value Alignment in Ethical Dilemmas Through Reinforcement Learning

open_access
Open Access
Author:
Melo Cruz, Arthur
Title:
Value Alignment in Ethical Dilemmas Through Reinforcement Learning
Graduate Program:
Aerospace Engineering (MS)
Keywords:
Robotics
Reinforcement Learning
Ethical Dilemma
Robot Ethics
Machine Ethics
Machine Learning
Artificial Intelligence
File:
Download Melo_Cruz_MSThesis.pdf
Committee Members:
Alan Richard Wagner, Thesis Advisor/Co-Advisor
Jacob Willem Langelaan, Committee Member
Amy Pritchett, Program Head/Chair

43. A UAV IMAGING APPLICATION TO MONITOR BLACK CHERRY FLOWERING AND REGENERATION IN ALLEGHENY NATIONAL FOREST IN PENNSYLVANIA

open_access
Open Access
Author:
Reimer, Tyler
Title:
A UAV IMAGING APPLICATION TO MONITOR BLACK CHERRY FLOWERING AND REGENERATION IN ALLEGHENY NATIONAL FOREST IN PENNSYLVANIA
Graduate Program:
Agricultural and Biological Engineering (MS)
Keywords:
UAV
Drone
Black Cherry
Machine Learning
Computer Vision
Deep Learning
YOLO
File:
Download Tyler_Reimer_Thesis.pdf
Committee Members:
Suat Irmak, Program Head/Chair
Daeun Choi, Thesis Advisor/Co-Advisor
Kelli Hoover, Committee Member
Douglas Alan Miller, Committee Member

44. A HYBRID DEEP LEARNING MODEL OF PROCESS-BUILD INTERACTIONS IN ADDITIVE MANUFACTURING

open_access
Open Access
Author:
Mojahed Yazdi, Reza
Title:
A HYBRID DEEP LEARNING MODEL OF PROCESS-BUILD INTERACTIONS IN ADDITIVE MANUFACTURING
Graduate Program:
Industrial Engineering
Keywords:
Deep Learning
Wavelet Analysis
Process Monitoring
Texture Analysis
Additive Manufacturing
Laser Powder Bed Fusion
Data Analysis
Machine Learning
File:
Download Reza_Mojahed_Yazdi_Master_Thesis.pdf
Committee Members:
Hui Yang, Thesis Advisor/Co-Advisor
Steven James Landry, Program Head/Chair
Soundar Rajan Tirupatikumara, Committee Member
Clyde Lee Giles, Committee Member

45. Study of Process-Structure-Property Relationships in Stainless Steel 316L Made by Powder Bed Fusion

open_access
Open Access
Author:
O'Brien, John
Title:
Study of Process-Structure-Property Relationships in Stainless Steel 316L Made by Powder Bed Fusion
Graduate Program:
Additive Manufacturing and Design
Keywords:
Additive Manufacturing
316L
3D Printing
L-PBF
Machine Learning
Statistics
Process control
File:
Download OBrien-Thesis-Final.pdf
Committee Members:
Allison Michelle Beese, Thesis Advisor/Co-Advisor
Timothy W. Simpson, Thesis Advisor/Co-Advisor
Guhaprasanna Manogharan, Committee Member
Timothy W. Simpson, Program Head/Chair

46. Observations and Modeling of the Transition from an Open to Closed System at Telica Volcano, Nicaragua

restricted_to_institution
Restricted (Penn State Only)
Author:
Saucier, Emilie
Title:
Observations and Modeling of the Transition from an Open to Closed System at Telica Volcano, Nicaragua
Graduate Program:
Geosciences (MS)
Keywords:
Volcano
Volcanology
Geoscience
Geology
Sealing
Phreatic Eruptions
Phreatic
Telica
Nicaragua
Deformation
Modeling
Machine Learning
Geodesy
Remote Sensing
Gas Flux
Hydrothermal Mineralisation
Magmatic Plug
Seal
File:
Login to Download
Committee Members:
Maureen Feineman, Thesis Advisor/Co-Advisor
Derek Elsworth, Committee Member
Donald Fisher, Program Head/Chair
Peter LaFemina, Thesis Advisor/Co-Advisor

47. Cognitive Signal Processing: Applying Machine Learning to Adaptive Array Signal Processing Weight Generation

open_access
Open Access
Author:
Singman, Matthew
Title:
Cognitive Signal Processing: Applying Machine Learning to Adaptive Array Signal Processing Weight Generation
Graduate Program:
Electrical Engineering (MS)
Keywords:
Signal Processing
Array Signal Processing
Machine Learning
Adaptive Signal Processing
File:
Download SingmanFinalThesis.pdf
Committee Members:
Madhavan Swaminathan, Program Head/Chair
Ram Mohan Narayanan, Thesis Advisor/Co-Advisor
Gregory Huff, Committee Member

48. Investigating Mid-Latitude Atmospheric Variability Due to Arctic Sea Ice Loss Using Self-Organizing Maps

open_access
Open Access
Author:
Staskiewicz, Samantha
Title:
Investigating Mid-Latitude Atmospheric Variability Due to Arctic Sea Ice Loss Using Self-Organizing Maps
Graduate Program:
Meteorology and Atmospheric Science (MS)
Keywords:
Atmospheric Variability
Sea Ice
Arctic
Climate Change
North America
Self-Organizing Maps
SOMs
Machine Learning
File:
Download Staskiewicz_Thesis_2021-_Final.pdf
Committee Members:
David Stensrud, Program Head/Chair
Melissa Marie Gervais, Thesis Advisor/Co-Advisor
Chris E Forest, Committee Member
Colin M. Zarzycki, Committee Member