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2.
Knee Bone Segmentation from MRI Images Using a Deep Learning Model
by Adeola, Ephraim Olubunmi, D.P.S.  Pace University. 2020: 114 pages; 28314256.
3.
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.
Identifying Product Defects by Applying a Predictive Model to Customer Reviews
by Fong, Titus Hei Yeung, D.Engr.  The George Washington University. 2020: 146 pages; 28087840.
6.
Short-Term Traffic Delay Prediction at the Niagara Frontier Border Crossings Using Deep Learning
by Chauhan, Rishabh Singh, M.S.  State University of New York at Buffalo. 2019: 154 pages; 13882472.
7.
A Machine Learning Framework for Prediction of Diagnostic Trouble Codes in Automobiles
by Kopuru, Mohan Sri Krishna, M.S.  Mississippi State University. 2020: 97 pages; 27837965.
8.
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.
9.
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.
10.
Artificial Neural Network Impact on Cloud Parameterization and Land-Atmosphere Interactions
by Yacalis, Galen, M.S.  University of California, Irvine. 2018: 106 pages; 10933426.
11.
12.
Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
13.
Road Traffic Analysis with Surveillance Cameras Using Synthetic Training Data
by Toropov, Evgeny, Ph.D.  Carnegie Mellon University. 2019: 168 pages; 13883988.
14.
Needle in the Noise: Detecting Public Safety Events Over Twitter
by Paulson, Keith, M.Eng.  University of Colorado Colorado Springs. 2019: 52 pages; 13864461.
15.
Control of a Three-Phase NPC Inverter Using Model Predictive Control and an Long Short-Term Memory Recurrent Neural Network
by Ashbaugh, Daniel L., M.S.  Southern Illinois University at Edwardsville. 2020: 144 pages; 27957425.
16.
Practical Inference-Time Attacks against Machine-Learning Systems and a Defense against Them
by Sharif, Mahmood, Ph.D.  Carnegie Mellon University. 2019: 137 pages; 27662625.
17.
Implementing Machine Learning Algorithms for Identifying Microstructure of Materials
by Shah, Niyati S., M.S.  California State University, Long Beach. 2018: 41 pages; 10837912.
18.
A Deep Learning Approach to Detecting Covert Channels in the Domain Name System
by Peña, Tomás Antonio, T.D.  Capitol Technology University. 2020: 206 pages; 27735496.
19.
Automatic Localization of Protein Function Labels to Specific Regions within the Sequence
by Koo, Da Chen Emily, Ph.D.  New York University. 2019: 188 pages; 13810735.
20.
A Model of Antigen Processing Improves Prediction of MHC Class I-Presented Peptides
by O'Donnell, Timothy John, Ph.D.  Icahn School of Medicine at Mount Sinai. 2020: 127 pages; 28092843.
22.
Quadcopter Trajectory Prediction and Wind Estimation Using Machine Learning
by Allison, Sam, M.S.  Oklahoma State University. 2019: 81 pages; 22588182.
23.
A Predictive Modeling for Detecting Fraudulent Automobile Insurance Claims
by Pu, Yuan, M.S.  California State University, Long Beach. 2019: 44 pages; 13900194.
24.
Classifying Websites Using Word Vectors and Other Techniques: An Application of Zipf’s Law
by Robles, Alejandro, M.S.  California State University, Long Beach. 2019: 50 pages; 22589849.
25.
Towards the Exploration and Improvement of Generative Adversarial Attacks
by Leone, Stephen, M.E.  The Cooper Union for the Advancement of Science and Art. 2020: 130 pages; 27994576.
26.
Attention-Dependent and Continuous Representation Learning using Deep Autoencoders
by Dellana, Ryan, Ph.D.  North Carolina Agricultural and Technical State University. 2019: 104 pages; 22583727.
28.
Neural Networks for Modeling and Control of Particle Accelerators
by Edelen, Auralee Linscott, Ph.D.  Colorado State University. 2020: 269 pages; 28028770.
29.
Machine Learning Demodulator Architectures for Power-Limited Communications
by Gorday, Paul E., Ph.D.  Florida Atlantic University. 2020: 185 pages; 28023894.
30.
Towards Interpretable Models of Health
by Hallgrimsson, Harldur Tomas, Ph.D.  University of California, Santa Barbara. 2020: 123 pages; 28095664.
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