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151.
A Smart Design Framework for a Novel Reconfigurable Multi-Processor Systems-on-Chip (ASREM) Architecture
by Dutta, Anandi, Ph.D.  University of Louisiana at Lafayette. 2016: 127 pages; 10163349.
153.
Reduced HyperBF networks: Practical optimization, regularization, and applications in bioinformatics
by Mahdi, Rami Nezar, Ph.D.  University of Louisville. 2010: 119 pages; 3415069.
154.
Forecasting Optimality in Resource Utilization for Cloud Computing Systems to Maximize Quality of Service
by Seevaratnam, Niranjan, D.Engr.  The George Washington University. 2019: 118 pages; 10979483.
156.
Machine learning for the automatic detection of anomalous events
by Fisher, Wendy D., Ph.D.  Colorado School of Mines. 2017: 173 pages; 10258193.
157.
An Evolutionary Model-Free Controller and its Application to the Swing-Up of a Double Inverted Pendulum
by Pamulaparthy, Venkata Dhruva, M.S.  California State University, Long Beach. 2017: 73 pages; 10690950.
158.
Tactic-Based Learning for collective learning systems
by Armstrong, Alice, D.Sc.  The George Washington University. 2008: 320 pages; 3304083.
159.
Artificial intelligence approaches to music composition
by Khan, Adil H., M.S.  Northern Kentucky University. 2013: 129 pages; 1549922.
160.
162.
Multi-Resolution Superpixels for Visual Saliency Detection in a Large Image Collection
by Singh, Anurag, Ph.D.  University of Louisiana at Lafayette. 2015: 128 pages; 3718565.
163.
Improving Biological Object Classification in Plankton Images Using Convolutional Neural Networks, Geometric Features, and Context Metadata
by Ellen, Jeffrey Scott, Ph.D.  University of California, San Diego. 2018: 233 pages; 10933313.
164.
Machine Learning in Neuroimaging
by Punugu, Venkatapavani Pallavi, M.S.  State University of New York at Buffalo. 2017: 41 pages; 10284048.
165.
Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
166.
Supportive Behaviors for Human-Robot Teaming
by Hayes, Bradley, Ph.D.  Yale University. 2016: 178 pages; 10160856.
167.
Machine Learning Methods for 3D Object Classification and Segmentation
by Le, Truc Duc, Ph.D.  University of Missouri - Columbia. 2018: 158 pages; 13877153.
168.
Some Statistical Properties of Tonality, 1650-1900
by White, Christopher Wm., Ph.D.  Yale University. 2013: 332 pages; 3578472.
169.
Modification of an asynchronous dexterous hand movement decoder for hardware implementation
by Bosen, Adam Kevin, M.S.  Rochester Institute of Technology. 2010: 72 pages; 1480273.
171.
172.
Grammatical formalisms for RNA structure analysis
by Al Seesi, Sahar, Ph.D.  University of Connecticut. 2010: 121 pages; 3420201.
174.
A new approach of top -down induction of decision trees for knowledge discovery
by Lee, Jun-Youl, Ph.D.  Iowa State University. 2008: 186 pages; 3307038.
175.
Learning to rank documents with support vector machines via active learning
by Arens, Robert James, Ph.D.  The University of Iowa. 2009: 113 pages; 3390239.
176.
Specification of sex-specific molecular biomarkers
by Lopez, Karen L., M.S.  California State University, Long Beach. 2012: 93 pages; 1517720.
177.
Human Activity Analysis using Multi-modalities and Deep Learning
by Zhang, Chenyang, Ph.D.  The City College of New York. 2016: 115 pages; 10159927.
178.
Modeling the co-development of strategic and conceptual knowledge in mathematical problem solving
by Campbell, Mariana Elaine, Ph.D.  University of California, Berkeley. 2011: 146 pages; 3498781.
180.
Computational methods for support vector machine classification and large-scale Kalman filtering
by Howard, Marylesa Marie, Ph.D.  University of Montana. 2013: 124 pages; 3568109.
151 - 180 of 36070 displayed.
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