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1336 open access dissertations and theses found for:
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1.
User-interactive level set image segmentation
by McCary, Brady C., Ph.D.  The University of Texas at Dallas. 2011: 193 pages; 3450475.
2.
A geometric construction of cyclic cocycles on twisted convolution algebras
by Angel, Eitan, Ph.D.  University of Colorado at Boulder. 2010: 86 pages; 3404042.
4.
Improving Motor Skills of a Smart Prosthetic Hand by Deep Learning
by Christian, Matthew, M.S.  Tennessee State University. 2018: 56 pages; 10979821.
5.
Computational Analysis of Deformable Manifolds: From Geometric Modeling to Deep Learning
by Schonsheck, Stefan C., Ph.D.  Rensselaer Polytechnic Institute. 2020: 137 pages; 28001226.
6.
Emotion Recognition Using Deep Learning
by Bishnoi, Amit, M.S.  California State University, Long Beach. 2019: 58 pages; 13862789.
7.
The Nonnegative Matrix Factorization: Methods and Applications
by Landi, Amanda Kim, Ph.D.  North Carolina State University. 2015: 120 pages; 10586642.
9.
Hierarchical Reconstruction Method for Solving Ill-posed Linear Inverse Problems
by Zhong, Ming, Ph.D.  University of Maryland, College Park. 2016: 122 pages; 10128674.
10.
Rigid Irregular Connections and Wildly Ramified ll-adic Local Systems of Type G2
by Jakob, Konstantin, Dr.Nat.  Universitaet Bayreuth (Germany). 2018: 126 pages; 10818633.
12.
A Novel Intrusion Detection Model for Detecting Known and Innovative Cyberattacks Using Convolutional Neural Network
by Ho, Samson, M.S.  California State University, Long Beach. 2020: 65 pages; 28152930.
13.
Advances in motion profiling
by Bowling, David, Ph.D.  The University of New Mexico. 2008: 227 pages; 3346738.
15.
Deep Learning for Segmented Medical Image Analysis
by Cheong, Vincent K., M.S.  California State University, Long Beach. 2019: 53 pages; 13858079.
16.
An Application of Deep Learning Models to Automate Food Waste Classification
by Espinoza, Alejandro Zachary, M.S.  Portland State University. 2019: 136 pages; 27662936.
17.
Fast convolutions with Helmholtz Green's functions and radially symmetric band -limited kernels
by Kurcz, Christopher, Ph.D.  University of Colorado at Boulder. 2008: 141 pages; 3303887.
18.
Predicting CRISPR/Cas9 Negative Selection Outcomes from sgRNA Sequences
by Stanton, TImothy, Master's  Stevens Institute of Technology. 2019: 40 pages; 27669807.
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20.
Continuum: An exploration of sonic memory
by Collins, Cindy, M.F.A.  Mills College. 2012: 23 pages; 1510825.
21.
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.
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Deep Learning Applications for Medical Imaging and Time-Series Data
by Martinez, Anthony, M.S.  California State University, Long Beach. 2019: 60 pages; 27545665.
24.
Fiber Based Tools for Polishing Optical Materials
by Shahinian, Hossein, Ph.D.  The University of North Carolina at Charlotte. 2018: 193 pages; 10786249.
25.
On finite-dimensional Hopf algebras and their classifications
by Hilgemann, Michael John, Ph.D.  Iowa State University. 2010: 121 pages; 3403886.
26.
A fast N-body scheme for computational cosmology
by Metchnik, Marc Victor Leonard, Ph.D.  The University of Arizona. 2009: 104 pages; 3372810.
27.
Boundary Conditions and Uncertainty Quantification for Hemodynamics
by Cousins, William Bryan, Ph.D.  North Carolina State University. 2013: 148 pages; 3575896.
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Toward a Hardware Accelerated Future
by Lyons, Michael John, Ph.D.  Harvard University. 2013: 162 pages; 3600206.
30.
Effort Compression: Signal-Dependent Gain Management for the Pressure Matching Beamforming Method
by Patros, Elliot M., Ph.D.  University of California, San Diego. 2019: 103 pages; 27545436.
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