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2.
Subject Analysis of Depth Perception in Augmented Reality Through Vuforia and Hololens Tracking
by Muvva, Veera Venkata Ram Murali Krishna Rao, M.S.  Mississippi State University. 2019: 63 pages; 22583212.
3.
Lower Bound Resource Requirements for Machine Intelligence
by Gilmanov, Timur, Ph.D.  Indiana University. 2018: 149 pages; 10980279.
6.
Performance and security in VOIP
by Patel, Malkesh M., M.S.  California State University, Long Beach. 2016: 38 pages; 10141531.
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La transversalité dans l'oeuvre littéraire d'Édouard Glissant
by Domond, Evens, Ph.D.  State University of New York at Albany. 2017: 245 pages; 10683774.
9.
An investigation of data privacy and utility using machine learning as a gauge
by Mivule, Kato, D.Sc.  Bowie State University. 2014: 262 pages; 3619387.
10.
Direct Torque Control of AC Machine Drives
by Alam, S. M. Mahfuz, M.S.  Southern Illinois University at Edwardsville. 2016: 96 pages; 10128872.
11.
A Novel Solution Approach to Capacitated Lot-Sizing Problems with Setup Times and Setup Carry-Over
by Karagul, Hakan Fatih, Ph.D.  North Carolina State University. 2012: 155 pages; 3538539.
12.
New approaches for design of high-mix low-volume facilities
by Khaewsukkho, Smart, Ph.D.  The Ohio State University. 2008: 258 pages; 10631031.
13.
Lean Six Sigma Methodology Used to Improve Machine Availability in a Manufacturing Process
by Huval, Ory P., M.S.  University of Louisiana at Lafayette. 2016: 61 pages; 10247041.
14.
Development of Energy Models for Production Systems and Processes to Inform Environmentally Benign Decision-Making
by Diaz-Elsayed, Nancy, Ph.D.  University of California, Berkeley. 2013: 121 pages; 3623603.
15.
Behavioral modeling of botnet populations viewed through internet protocol address space
by Weaver, Rhiannon Lisa, Ph.D.  Carnegie Mellon University. 2012: 204 pages; 3528576.
16.
Robust Resource Allocation of Independent Tasks in Heterogeneous Computing Systems via Probabilistic Task Pruning
by Gentry, James A. S., M.S.  University of Louisiana at Lafayette. 2018: 88 pages; 10843501.
17.
Optimizing energy and performance for server-class file system workloads
by Sehgal, Priya, M.S.  State University of New York at Stony Brook. 2010: 42 pages; 1477353.
18.
Software signature derivation from sequential digital forensic analysis
by Nelson, Alexander J., Ph.D.  University of California, Santa Cruz. 2016: 177 pages; 10140317.
21.
Structural Complexity in Stationary Stochastic Dynamical Systems
by Ellison, Christopher James, Ph.D.  University of California, Davis. 2011: 182 pages; 3482120.
22.
A framework for scheduling algorithms in manufacturing environment
by Martorano, Eduardo de Aquino, M.S.  California State University, Long Beach. 2010: 93 pages; 1493036.
23.
Counterfactual Evaluation and Learning From Logged User Feedback
by Swaminathan, Adith, Ph.D.  Cornell University. 2017: 224 pages; 10258968.
24.
Peephole superoptimization
by Bansal, Sorav, Ph.D.  Stanford University. 2008: 95 pages; 3332986.
27.
Algorithmic approaches to reducing resource costs in data centers
by Mukherjee, Koyel, Ph.D.  University of Maryland, College Park. 2013: 210 pages; 3612196.
28.
A Shifting Bottleneck Procedure with Multiple Objectives in a Complex Manufacturing Environment
by Cayo, Paul, M.S.  Southern Illinois University at Edwardsville. 2017: 72 pages; 10608679.
29.
Three approaches to scheduling semiconductor manufacturing operations
by Ham, Myoungsoo, Ph.D.  Arizona State University. 2008: 76 pages; 3339594.
30.
Modernizing Check Fraud Detection with Machine Learning
by Rose, Lydia M., M.S.  Utica College. 2018: 64 pages; 13421455.
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