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31.
Spectrum allocation algorithms for cognitive radio mesh networks
by Almasaeid, Hisham Mohammad, Ph.D.  Iowa State University. 2011: 157 pages; 3493977.
32.
A framework for scheduling algorithms in manufacturing environment
by Martorano, Eduardo de Aquino, M.S.  California State University, Long Beach. 2010: 93 pages; 1493036.
33.
Algorithms for DNA Sequence Assembly and Motif Search
by Dinh, Hieu Trung, Ph.D.  University of Connecticut. 2012: 95 pages; 3533974.
34.
Data interpretation algorithms for sensor networks in buildings
by Pascua, Daniel E., M.S.  Colorado School of Mines. 2013: 49 pages; 1541892.
35.
Queue Streaming Model: Theory, Algorithms, and Implementation
by Zope, Anup D., Ph.D.  Mississippi State University. 2019: 215 pages; 13860290.
36.
Toward Adaptation and Reuse of Advanced Robotic Algorithms
by Baker, Christopher R., Ph.D.  Carnegie Mellon University. 2011: 199 pages; 3515709.
37.
Efficient image restoration algorithms for near-circulant systems
by Pan, Ruimin, Ph.D.  Auburn University. 2007: 130 pages; 3265586.
38.
Simulating Bose Einstein Condensates with Quantum Lattice Gas Algorithms
by Taylor, Jasper Smead, Ph.D.  University of Hawai'i at Manoa. 2020: 123 pages; 27993582.
39.
Object Ranking Algorithms for Improved Decision Making
by Duggimpudi, Maria Bala, Ph.D.  University of Louisiana at Lafayette. 2017: 135 pages; 10684385.
40.
Distributed and Decentralized Algorithms for Functional Programmable Matter
by Klingner, John, Ph.D.  University of Colorado at Boulder. 2018: 82 pages; 10980638.
41.
Comparative analysis of load balancing algorithms in cloud computing
by Tomar, Mohit, M.S.  California State University, Long Beach. 2017: 34 pages; 10262288.
42.
Algorithms and Cutting Planes for Mixed Integer Programs
by Hildebrand, Robert David, Ph.D.  University of California, Davis. 2013: 235 pages; 3596887.
43.
Learning Theory and Algorithms for Auctioning and Adaptation Problems
by Munoz Medina, Andres, Ph.D.  New York University. 2015: 260 pages; 3740907.
44.
Implementing Machine Learning Algorithms for Identifying Microstructure of Materials
by Shah, Niyati S., M.S.  California State University, Long Beach. 2018: 41 pages; 10837912.
45.
Algorithms for Tracking in Clutter and for Sensor Registration
by Crouse, David Frederic, Ph.D.  University of Connecticut. 2011: 313 pages; 3485265.
46.
Nonconvex Min-Max Optimization in Deep Learning: Algorithms and Applications
by Liu, Mingrui, Ph.D.  The University of Iowa. 2020: 186 pages; 28031308.
47.
Novel algorithms for structural alignment of non-coding RNAs
by Kolbe, Diana Lynn, Ph.D.  Washington University in St. Louis. 2010: 175 pages; 3408095.
48.
Graph diffusions and matrix functions: Fast algorithms and localization results
by Kloster, Kyle, Ph.D.  Purdue University. 2016: 114 pages; 10149739.
49.
Reconfiguration of multiprocessor systems with spares using genetic algorithms
by Bollineni, Venugopal, M.S.  California State University, Long Beach. 2009: 50 pages; 1472282.
50.
Analysis of Signal Reconstruction Algorithms Based on Consistency Constraints
by Lee, Chang-Hsin, Ph.D.  Vanderbilt University. 2017: 63 pages; 13834903.
51.
Inference Algorithms and Sensorimotor Representations in Brains and Machines
by Mudigonda, Mayur, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13904872.
52.
Clustering algorithms for next-generation sequencing data from heterogenous populations
by Prabhakara, Shruthi, Ph.D.  The Pennsylvania State University. 2012: 126 pages; 3737327.
53.
Design and Analysis of Efficient Parallel Bayesian Model Comparison Algorithms
by Henderson, Robert Wesley, Ph.D.  The University of Mississippi. 2019: 130 pages; 13878635.
54.
Using a model of human cognition of causality to orient arcs in structural learning
by Vang, Jee, Ph.D.  George Mason University. 2008: 267 pages; 3343811.
55.
Optimization models and algorithms for designing wireless local area networks
by Kratz, Jason, Ph.D.  Southern Methodist University. 2011: 100 pages; 3489645.
56.
Efficiency of pair-wise and multiple alignment algorithms in computational biology
by Vu, Man H., M.S.  California State University, Long Beach. 2010: 67 pages; 1486717.
57.
Algorithms and techniques for transitioning to software defined networks
by Patil, Prithviraj, Ph.D.  Vanderbilt University. 2016: 86 pages; 10295642.
58.
A comparison of particle swarm optimization algorithms in data clustering
by Chung, Yu-Kuang, M.S.  California State University, Long Beach. 2010: 69 pages; 1486378.
59.
Methods for improving the design and performance of evolutionary algorithms
by Bassett, Jeffrey K., Ph.D.  George Mason University. 2012: 159 pages; 3549855.
60.
Structure-Preserving Rearrangements: Algorithms for Structural Comparison and Protein Analysis
by Bliven, Spencer Edward, Ph.D.  University of California, San Diego. 2015: 159 pages; 3716489.
31 - 60 of 7339 displayed.
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