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151.
"Bolt-On" Network Security for Advanced Manufacturing Deployments
by McCormack, Matthew M., Ph.D.  Carnegie Mellon University. 2020: 156 pages; 28258526.
152.
Application of Advanced Power Electronics in Renewable Energy Sources and Hybrid Generating Systems
by Esmaili, Gholamreza, Ph.D.  The Ohio State University. 2006: 147 pages; 10835744.
153.
Exemplar-based Representations for Object Detection, Association and Beyond
by Malisiewicz, Tomasz, Ph.D.  Carnegie Mellon University. 2011: 130 pages; 3515782.
154.
A Big Spatial Data System for Efficient and Scalable Spatial Data Processing
by Da, Yanan, M.S.  Southern Illinois University at Edwardsville. 2017: 57 pages; 10682760.
155.
Mapping machines: Activist cartographies of the border and labor lands of Europe
by Cobarrubias, Sebastian, Ph.D.  The University of North Carolina at Chapel Hill. 2009: 349 pages; 3366473.
156.
Scalable graph -based learning applied to human language technology
by Alexandrescu, Andrei, Ph.D.  University of Washington. 2009: 206 pages; 3377339.
158.
Model combination in multiclass classification
by Reid, Samuel Robert, Ph.D.  University of Colorado at Boulder. 2010: 182 pages; 3404055.
159.
Benchmarks for Evaluating Anomaly-Based Intrusion Detection Solutions
by Miller, Nicholas J., M.S.  California State University, Long Beach. 2018: 30 pages; 10752128.
160.
A Point Cloud Approach to Object Slicing for 3D Printing
by Oropallo, William Edward, Jr., Ph.D.  University of South Florida. 2018: 241 pages; 10751757.
162.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
165.
Plastic as a Vector for Pollutants in Estuarine and Marine Environments
by Coffin, Scott Leach, Ph.D.  University of California, Riverside. 2018: 288 pages; 10982838.
166.
Predicting National Basketball Association Game Outcomes Using Ensemble Learning Techniques
by Valenzuela, Russell, M.S.  California State University, Long Beach. 2018: 54 pages; 10980443.
167.
Detecting Fine-Grained Similarity in Binaries
by Saebjornsen, Andreas, Ph.D.  University of California, Davis. 2014: 107 pages; 3646391.
169.
Visual Computational Context: Using Compositions and Non-target Pixels for Novel Class Discovery
by Turner, J. T., Ph.D.  University of Maryland, Baltimore County. 2019: 160 pages; 13902658.
170.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
171.
Student Sequence Model: A Temporal Model For Exploring and Predicting Risk From Heterogeneous Student Data
by Mahzoon, Mohammad Javad, Ph.D.  The University of North Carolina at Charlotte. 2018: 122 pages; 10791643.
172.
Generalized fiducial inference for mixed linear models
by Cisewski, Jessica, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 151 pages; 3512608.
173.
174.
Generalized Conditional Matching Algorithm for Ordered and Unordered Sets
by Krishnan, Ravikiran, Ph.D.  University of South Florida. 2014: 120 pages; 3666203.
175.
Symbiotic virtualization
by Lange, John Russell, Ph.D.  Northwestern University. 2010: 224 pages; 3426601.
176.
Reduced HyperBF networks: Practical optimization, regularization, and applications in bioinformatics
by Mahdi, Rami Nezar, Ph.D.  University of Louisville. 2010: 119 pages; 3415069.
178.
Understanding and Critiquing Multi-Modal Engineering Design Explanations
by Wetzel, Jon, Ph.D.  Northwestern University. 2014: 218 pages; 3669343.
180.
Machine Learning Demodulator Architectures for Power-Limited Communications
by Gorday, Paul E., Ph.D.  Florida Atlantic University. 2020: 185 pages; 28023894.
151 - 180 of 50568 displayed.
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