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2.
Analysis and Design of Proportionate-Type Normalized Least Mean Square Algorithms
by Wagner, Kevin, D.Sc.  The George Washington University. 2012: 223 pages; 3503010.
3.
Least Mean Square Adaptive Beamforming for Jammer Suppression
by Kheradmand, Mazyar, M.S.  California State University, Long Beach. 2018: 32 pages; 10837994.
4.
An I/O-Complexity Lower Bound for All Recursive Matrix Multiplication Algorithms by Path-Routing
by Scott, Jacob N., Ph.D.  University of California, Berkeley. 2015: 113 pages; 10086162.
5.
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.
6.
Optimal Subset Selection for Causal Inference Using Machine Learning and Particle Swarm Optimization
by Sharma, Dhruv, D.Engr.  The George Washington University. 2018: 132 pages; 10928545.
7.
Design of delta operator based decision feedback equalizer for high-speed backplane data communication
by Fan, Hsiang-Ta, M.S.  California State University, Long Beach. 2012: 54 pages; 1521620.
8.
Adaptive nulling in multiple beam antennas using quantized state adaptive algorithms
by Joshi, Rajkumar A., M.S.  California State University, Long Beach. 2010: 124 pages; 1486539.
9.
Spatial Division Multiplexed Transmission and Sensing in Few-Mode Fibers
by Weng, Yi, Ph.D.  University of Louisiana at Lafayette. 2017: 136 pages; 10261316.
10.
Disaggregating time series data for energy consumption by aggregate and individual customer
by Vitullo, Steven R., Ph.D.  Marquette University. 2011: 150 pages; 3487305.
11.
MIMO Digital Signal Processing in Few-Mode Fiber Optical Communication Systems
by He, Xuan, Ph.D.  University of Louisiana at Lafayette. 2014: 84 pages; 3687684.
12.
Efficient and automatic wireless geohazard monitoring
by Rubin, Marc J., Ph.D.  Colorado School of Mines. 2014: 202 pages; 3638904.
13.
Compressive Sensing: Performance of Sparse Channel Estimation in Orthogonal Frequency Division Multiplexing
by Shenoy, Dinesh Nandakumar, M.S.  California State University, Long Beach. 2018: 43 pages; 10751778.
14.
Drowsiness detection using HRV analysis
by Padmanabhan, Sivasankar, M.S.  California State University, Long Beach. 2015: 89 pages; 1596988.
15.
Studies of protein designability using reduced models
by Peto, Myron, Ph.D.  Iowa State University. 2007: 86 pages; 3274847.
16.
Design and analysis of algorithms for large-scale distributed systems: A control theoretic approach
by Patterson, Stacy, Ph.D.  University of California, Santa Barbara. 2009: 208 pages; 3371672.
17.
Effective source separation algorithm using NMF and sparse NMF for acoustic fall detection
by Wang, Yanlin, M.S.  University of Missouri - Columbia. 2014: 119 pages; 10180882.
18.
Statistical models and optimization algorithms for high-dimensional computer vision problems
by Mitra, Kaushik, Ph.D.  University of Maryland, College Park. 2011: 155 pages; 3478970.
19.
Efficient image restoration algorithms for near-circulant systems
by Pan, Ruimin, Ph.D.  Auburn University. 2007: 130 pages; 3265586.
20.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
21.
A Comparative Study of Lattice Based Algorithms for Post Quantum Computing
by Easttom, William Charles, II, D.B.A.  Capitol Technology University. 2018: 141 pages; 13901281.
23.
Any-angle path planning
by Nash, Alex, Ph.D.  University of Southern California. 2012: 433 pages; 3542296.
24.
Statistical Relational Learning through Structural Analogy and Probabilistic Generalization
by Halstead, Daniel T., Ph.D.  Northwestern University. 2011: 159 pages; 3488474.
25.
Gray-cast iron classification based on graphite flakes using image morphology and neural networks
by Yeliyur Siddegowda, Darshan, M.S.  California State University, Long Beach. 2016: 55 pages; 10017846.
26.
Clustering transient data streams by example and by variable
by Chaovalit, Pimwadee, Ph.D.  University of Maryland, Baltimore County. 2009: 224 pages; 3359104.
27.
Any-Com Multi-Robot Path Planning
by Otte, Michael Wilson, Ph.D.  University of Colorado at Boulder. 2011: 194 pages; 3489609.
28.
Remote sensing of cyanobacteria in turbid productive waters
by Mishra, Sachidananda, Ph.D.  Mississippi State University. 2012: 204 pages; 3522210.
29.
Real-time progressive band processing for linear spectral unmixing and endmember extraction
by Fisher, Kevin Daniel, Ph.D.  University of Maryland, Baltimore County. 2012: 110 pages; 3550809.
30.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
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