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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

Author:

Mohammad, Umar Farooq

Title:

Ultrasound image classification and segmentation using deep learning applications

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

Deep Learning
Medical Image Segmentation
Medical Image Classification

File:

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Committee Members:

Chitaranjan Das, Program Head/Chair
Mohamed Khaled Almekkawy, Thesis Advisor/Co-Advisor
William Evan Higgins, Committee Member

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:

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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

Author:

Chaemchuen, Piyaphat

Title:

Suspended Sediment Concentration prediction using Deep Learning across the Contiguous United States

Graduate Program:

Civil Engineering (MS)

Keywords:

Suspended Sediment Concentration prediction
Deep Learning
Long Short-Term memory model
The Contiguous United States
Large-scale modeling

File:

Download PIYAPHAT_CHAEMCHUEN_S_THESIS__FIX_REFERENCES_.pdf

Committee Members:

Patrick Fox, Program Head/Chair
Chaopeng Shen, Thesis Advisor/Co-Advisor
Xiaofeng Liu, Committee Member
Li Li, Committee Member