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1.
Evolving Convolutional Neural Network Topologies for Image Recognition
by Strauch, Yaron Leander, M.S.  The University of Southampton. 2019: 92 pages; 28150656.
2.
Detecting Phone-Related Pedestrian Behavior Using a Two-Branch Convolutional Neural Network
by Saenz, Humberto, M.S.  The University of Texas Rio Grande Valley. 2019: 65 pages; 27544252.
4.
Utilizing Various Neural Network Architectures to Play a Game Developed for Human Players
by Arender, Blake, M.S.  The University of Mississippi. 2018: 51 pages; 10752390.
5.
Text Representation using Convolutional Networks
by Zhang, Xiang, Ph.D.  New York University. 2019: 164 pages; 10928487.
6.
Convolutional Neural Networks for EEG Signal Classification in Asynchronous Brain-Computer Interfaces
by Forney, Elliott M., Ph.D.  Colorado State University. 2019: 239 pages; 27544218.
7.
Evaluation and Design of Robust Neural Network Defenses
by Carlini, Nicholas, Ph.D.  University of California, Berkeley. 2018: 138 pages; 10931076.
8.
Combinatorial Neural Network Training Algorithm for Neuromorphic Computing
by Date, Prasanna, Ph.D.  Rensselaer Polytechnic Institute. 2019: 133 pages; 22583141.
9.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
10.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
12.
Intrusion Detection in Controller Area Network Bus Using Deep Neural Network
by Sami, Muhammad, M.S.E.E.  California State University, Long Beach. 2020: 62 pages; 27833202.
13.
Predicting Tropical Cyclone Intensity from Geosynchronous Satellite Images Using Deep Neural Networks
by Udumulla, Niranga Mahesh, M.S.  Florida Atlantic University. 2020: 112 pages; 28262639.
14.
Date-Driven Topology Identification in Power Distribution Systems with Machine Learning
by Li, Yifu, M.S.  The George Washington University. 2020: 129 pages; 28087793.
15.
360° View Camera Based Visual Assistive Technology for Contextual Scene Information
by Ali, Mazin, M.S.  Rochester Institute of Technology. 2017: 54 pages; 10621991.
16.
Classification of Faults in Microgrids Using Deep Learning
by Karan, Sainesh, M.S.  California State University, Long Beach. 2020: 74 pages; 27834650.
17.
Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
19.
Automatic Age Estimation from Real-World and Wild Face Images by Using Deep Neural Networks
by Qawaqneh, Zakariya, Ph.D.  University of Bridgeport. 2017: 99 pages; 10689195.
20.
Real-Time Stability Surveillance in Power Systems: A Deep Learning Approach
by Shinde, Bhavesh Tukaram, M.S.  The George Washington University. 2020: 96 pages; 27669739.
21.
DiffFrameNet: A Deep Learning Method for Intuitive Robot Navigation
by Cao, Bo, M.S.  University of Colorado at Boulder. 2018: 69 pages; 10809457.
23.
Deepfakes: Analysis of Threats and Countermeasures
by Traboulsi, Nicole, M.S.  California State University, Fullerton. 2020: 100 pages; 28256068.
24.
Machine Vision System for the Automated Green Shoot Thinning in Vineyards
by Majeed, Yaqoob, Ph.D.  Washington State University. 2020: 196 pages; 27830466.
26.
A Deep Learning Predictive Model for Source Code Analysis of a Dynamically Typed Language
by Tiwang, Raymond F., D.Sc.  Bowie State University. 2020: 125 pages; 28000426.
27.
28.
BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting
by Brantley, Kiante, M.S.  University of Maryland, Baltimore County. 2016: 71 pages; 10140605.
29.
Visual Computational Context: Using Compositions and Non-target Pixels for Novel Class Discovery
by Turner, J. T., Ph.D.  University of Maryland, Baltimore County. 2019: 160 pages; 13902658.
30.
Machine-Learning Methods for Credit Card Fraud Detection
by Woolston, Sarah E., M.S.  California State University, Long Beach. 2017: 100 pages; 10602012.
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