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331.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
332.
A method for evaluating and standardizing ontologies
by Seyed, Ali Patrice, Ph.D.  State University of New York at Buffalo. 2012: 235 pages; 3495226.
333.
Statistical Tests for Optimization Efficiency
by Boyles, Levi Beinarauskas, M.S.  University of California, Irvine. 2010: 45 pages; 1483253.
334.
Ontology-driven discovery of scientific computational entities
by Brazier, Pearl W., Ph.D.  The University of Texas at El Paso. 2010: 133 pages; 3418859.
335.
A comparison of grid-based techniques for Navier-Stokes fluid simulation in computer graphics
by Chrisman, Cameron, M.S.  University of California, San Diego. 2008: 76 pages; 1450292.
336.
Network Abstractions for Designing Reliable Applications Using Wireless Sensor Networks
by Kulathumani, Vinodkrishnan, Ph.D.  The Ohio State University. 2008: 226 pages; 10631197.
337.
Supervised and Unsupervised Learning for Semantics Distillation in Multimedia Processing
by Liu, Yu, Ph.D.  State University of New York at Buffalo. 2018: 150 pages; 10932367.
338.
Security and Privacy Challenges in Content-Centric Networks
by Wood, Christopher A., Ph.D.  University of California, Irvine. 2017: 337 pages; 10684217.
339.
Learning from Temporally-Structured Human Activities Data
by Lipton, Zachary C., Ph.D.  University of California, San Diego. 2017: 274 pages; 10683703.
340.
Community-based Networks for Challenged Environments
by Vigil-Hayes, Morgan Ashlee, Ph.D.  University of California, Santa Barbara. 2017: 238 pages; 10600330.
341.
Modeling and Rendering Appearance of Hair and Textile Fibers
by Khungurn, Pramook, Ph.D.  Cornell University. 2017: 273 pages; 10271351.
342.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
343.
Formal reasoning in software-defined networks
by Reitblatt, Mark, Ph.D.  Cornell University. 2017: 179 pages; 10254203.
344.
Data-Driven Methods for Deriving Insight from Educational Problem Solving Environments
by Eagle, Michael John, Ph.D.  North Carolina State University. 2015: 114 pages; 10110648.
345.
Modeling content lifespan in Online Social Networks using data mining
by Gibbons, John, Ph.D.  University of Kansas. 2014: 111 pages; 3625219.
346.
ACE: Agile, Contingent and Efficient Similarity Joins Using MapReduce
by Lakshminarayanan, Mahalakshmi, M.E.  The University of Toledo. 2013: 103 pages; 1554211.
347.
A framework for automated generation of specialized function variants
by Chaimov, Nicholas A., M.S.  University of Oregon. 2012: 64 pages; 1516795.
348.
Enhancing networking protocols in widely deployed devices
by Verkaik, Patrick, Ph.D.  University of California, San Diego. 2010: 136 pages; 3408028.
349.
Performance through social context displays
by Ding, Xianghua (Sharon), Ph.D.  University of California, Irvine. 2010: 164 pages; 3398860.
350.
Discovering heap anomalies in the wild
by Jump, Maria Eva, Ph.D.  The University of Texas at Austin. 2009: 144 pages; 3373283.
351.
A cognitive model of recognition-based moral decision making
by Dehghani, Morteza, Ph.D.  Northwestern University. 2009: 219 pages; 3386531.
352.
The complexity of flow analysis in higher-order languages
by Van Horn, David, Ph.D.  Brandeis University. 2009: 162 pages; 3369445.
353.
The second chance offer: Seller and bidder strategies
by Sun, Yu-An, Ph.D.  The George Washington University. 2009: 131 pages; 3341356.
354.
Integrated Architecture and Routing Protocols for Heterogeneous Wireless Networks
by Cavalcanti, Dave Alberto Tavares, Ph.D.  University of Cincinnati. 2006: 176 pages; 10857145.
355.
Cross-Lingual Transfer of Semantics in Low-Resource Settings
by Aminian, Maryam, Ph.D.  The George Washington University. 2019: 142 pages; 27664551.
356.
Application of Graphical Models in Protein-Protein Interactions and Dynamics
by Vajdi Hoojghan, Amir, Ph.D.  University of Massachusetts Boston. 2018: 92 pages; 10982841.
357.
Deep Networks for Forward Prediction and Planning
by Henaff, Mikael, Ph.D.  New York University. 2018: 164 pages; 10928805.
358.
A Comprehensive View of Home Energy Management
by Lachut, David S., Ph.D.  University of Maryland, Baltimore County. 2018: 120 pages; 10825526.
359.
360.
Spectral Library Construction and Matching of MS/MS Spectra at Repository Scales
by Wang, Mingxun, Ph.D.  University of California, San Diego. 2017: 137 pages; 10284805.
331 - 360 of 2959 displayed.
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