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3.
The Nonnegative Matrix Factorization: Methods and Applications
by Landi, Amanda Kim, Ph.D.  North Carolina State University. 2015: 120 pages; 10586642.
4.
Stopping data races using Redflag
by Duggal, Abhinav, M.S.  State University of New York at Stony Brook. 2010: 38 pages; 1477351.
5.
Trajectory Similarity Based Prediction for Remaining Useful Life Estimation
by Wang, Tianyi, Ph.D.  University of Cincinnati. 2010: 141 pages; 3432353.
6.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
7.
Mathematical Modeling of Moisture Movement within a Rice Kernel during Convective and Infrared Drying
by Prakash, Bhagwati, Ph.D.  University of California, Davis. 2011: 210 pages; 3474451.
8.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
9.
Module-Based Analysis for "Omics" Data
by Wang, Zhi, Ph.D.  North Carolina State University. 2013: 187 pages; 3690212.
10.
Statistical Methods for High Dimensional Variable Selection
by Li, Kaiqiao, Ph.D.  State University of New York at Stony Brook. 2019: 114 pages; 13427291.
11.
Large margin transformation learning
by Howard, Andrew G., Ph.D.  Columbia University. 2009: 90 pages; 3388470.
12.
Efficient idempotent methods for optimal control
by Deshpande, Ameet Shridhar, Ph.D.  University of California, San Diego. 2009: 198 pages; 3389391.
13.
Robust Model Estimation Methods For Information Retrieval
by Collins-Thompson, Kevyn, Ph.D.  Carnegie Mellon University. 2008: 220 pages; 3528730.
14.
Hardware-in-the-Loop Modeling and Simulation Methods for Daylight Systems in Buildings
by Mead, Alex Robert, Ph.D.  University of California, Berkeley. 2017: 378 pages; 10283149.
15.
Controlling with Model Trees
by Kemerling, Robert Alan, Ph.D.  Nova Southeastern University. 2011: 121 pages; 3478677.
16.
Adaptive Statistical Methods for Microbiome Association Studies
by Koh, Hyunwook, Ph.D.  New York University. 2018: 118 pages; 10750033.
17.
On Multigrid and H-Matrix Methods for Partial Integro-Differential Equations
by Gathungu, Duncan Kioi, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2017: 129 pages; 10778637.
18.
Efficient and Robust Shape Correspondence Methods
by Xiang, Rui, Ph.D.  University of California, Irvine. 2020: 79 pages; 27962256.
19.
20.
Feature Selection for Diffusion Methods Within a Supervised Context
by Le, Minh-Tam, Ph.D.  Yale University. 2014: 135 pages; 3582256.
21.
Machine-Learning Methods for Credit Card Fraud Detection
by Woolston, Sarah E., M.S.  California State University, Long Beach. 2017: 100 pages; 10602012.
23.
Potential Theory Methods for Some Nonlinear Elliptic Equations
by Seesanea, Adisak, Ph.D.  University of Missouri - Columbia. 2018: 88 pages; 13877169.
24.
Fast direct methods for molecular electrostatics
by Ho, Kenneth L., Ph.D.  New York University. 2012: 180 pages; 3524158.
25.
An Efficient Mesh-Free Particle Method for Modeling of Free Surface and Multiphase Flows
by Nabian, Mohammad Amin, M.S.  The George Washington University. 2015: 147 pages; 1605038.
26.
Understanding the Deforestation in the Amazon Using Semiparametric Methods with Group Effects
by Souza Rodrigues, Eduardo Augusto de, Ph.D.  Yale University. 2012: 248 pages; 3525379.
27.
Analytical Methods for Structured Matrix Computations
by Ye, Xin, Ph.D.  Purdue University. 2018: 146 pages; 10843113.
28.
System level methodology for low cost performance characterization of analog and mixed -signal circuits
by Park, Joon Sung, Ph.D.  The University of Texas at Austin. 2009: 149 pages; 3372676.
29.
Mathematical models and numerical methods for wavefront reconstruction
by Chu, Qing, Ph.D.  Emory University. 2013: 118 pages; 3614311.
30.
Software Deployment Methods to Support Heterogeneous-ISA Application Migration
by Xing, Tong, Master's  Stevens Institute of Technology. 2020: 92 pages; 27957383.
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