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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:

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

Author:

Sarma, Anup

Title:

Optimizing Deep Learning for Memory and Compute : A joint Algorithm-Architecture Exploration

Graduate Program:

Computer Science and Engineering (PHD)

Keywords:

Deep Learning
Computer Architecture
Main Memory
CNN and RNN-LSTM
Inference and Training
Sparsity
Performance and Energy Efficiency

File:

Download Dissertation_copy_Final2.pdf

Committee Members:

Vijaykrishnan Narayanan, Major Field Member
C Lee Giles, Outside Unit & Field Member
Asit K Mishra, Special Member
Chitaranjan Das, Program Head/Chair
Mahmut Kandemir, Dissertation Co-Advisor
Chitaranjan Das, Chair & Co-Dissertation Advisr

Author:

Metwaly, Kareem

Title:

Explainable, Informed Deep Learning For Signal And Image Estimation

Graduate Program:

Electrical Engineering (PHD)

Keywords:

Deep Learning
Neural Network
Image Processing
Signal Processing
Algorithm Unrolling
Dehazing
Beampattern Design
Classification
Computer Vision
Attribute Prediction
Prior Guided
Informed Learning
Estimation

File:

Download KareemMetwaly.pdf

Committee Members:

Abhronil Sengupta, Major Field Member
William Higgins, Major Field Member
Vikash Gayah, Outside Unit & Field Member
Vishal Monga, Chair & Dissertation Advisor
Thomas La Porta, Program Head/Chair

Author:

Xu, Dongkuan

Title:

Resource-efficient Deep Learning: Democratizing AI at Scale

Graduate Program:

Information Sciences and Technology (PHD)

Keywords:

Deep Learning
Democratization
Efficient
Artificial Intelligence
Model Compression
Graph Neural Network
Acceleration

File:

Download PhD_dessertation_Dongkuan_Xu_Resource_efficient_Deep_Learning_FinalVersion.pdf

Committee Members:

Dongwon Lee, Major Field Member
Xiang Zhang, Chair & Dissertation Advisor
Xiao Liu, Outside Unit & Field Member
Mary Beth Rosson, Program Head/Chair
Suhang Wang, Major Field Member