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31.
An Exploration of the Role of Cellular Neuroplasticity in Large Scale Models of Biological Neural Networks
by Skorheim, Steven W., Ph.D.  University of California, Riverside. 2014: 170 pages; 3630750.
32.
Leveraging Deep Neural Networks to Study Human Cognition
by Peterson, Joshua C., Ph.D.  University of California, Berkeley. 2018: 129 pages; 10930700.
33.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
34.
Combinatorial Neural Network Training Algorithm for Neuromorphic Computing
by Date, Prasanna, Ph.D.  Rensselaer Polytechnic Institute. 2019: 133 pages; 22583141.
35.
DiffFrameNet: A Deep Learning Method for Intuitive Robot Navigation
by Cao, Bo, M.S.  University of Colorado at Boulder. 2018: 69 pages; 10809457.
36.
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.
37.
Using Neural Networks to Predict Vortex-Panel Analyses: A Feasibility Study
by Wright, Brendan, M.S.  Rensselaer Polytechnic Institute. 2018: 103 pages; 10980821.
38.
Comparison and Fine-Grained Analysis of Sequence Encoders for Natural Language Processing
by Keller, Thomas Anderson, M.S.  University of California, San Diego. 2017: 87 pages; 10599339.
39.
Abstraction, Sense Distinctions and Syntax in Neural Semantic Role Labeling
by Gung, James, Ph.D.  University of Colorado at Boulder. 2020: 181 pages; 27838256.
40.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
41.
Analysis of Keystroke Dynamics Algorithms with Feedforward Neural Networks
by Su, Gordon, M.E.  University of Connecticut. 2020: 49 pages; 28262948.
42.
Machine Learning Demodulator Architectures for Power-Limited Communications
by Gorday, Paul E., Ph.D.  Florida Atlantic University. 2020: 185 pages; 28023894.
43.
Artificial Neural Networks in Public Policy: Towards an Analytical Framework
by Lee, Joshua A., Ph.D.  George Mason University. 2020: 353 pages; 27956419.
44.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
45.
Detection of Canine Bone Cancer Using Artificial Neural Networks
by Gorre, Naveena, M.S.  Southern Illinois University at Edwardsville. 2020: 70 pages; 27957796.
47.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
48.
Deepfakes: Analysis of Threats and Countermeasures
by Traboulsi, Nicole, M.S.  California State University, Fullerton. 2020: 100 pages; 28256068.
49.
Neural Correlates of Adaptive Behavior: Structure, Dynamics, and Information Processing
by Williams, Steven C., Ph.D.  Indiana University. 2019: 152 pages; 27543239.
50.
Modeling the mirror system in action observation and execution
by Bonaiuto, James, Ph.D.  University of Southern California. 2010: 291 pages; 3418250.
52.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
54.
Drilling Hydraulics Optimization Using Neural Networks
by Wang, Yanfang, M.S.  University of Louisiana at Lafayette. 2014: 73 pages; 1592757.
55.
Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
56.
Building High Performance Wireless Rechargeable Sensor Networks and Vehicular Networks by Algorithm Designs
by Zhou, Pengzhan, Ph.D.  State University of New York at Stony Brook. 2020: 165 pages; 28091090.
57.
Neural networks involved in eye movements in humans
by Gurler, Demet, Ph.D.  The University of Alabama at Birmingham. 2012: 233 pages; 3512264.
58.
Deep Learning-Based Exploration Path Planning
by Reinhart, Russell, M.S.  University of Nevada, Reno. 2020: 56 pages; 28022208.
59.
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.
60.
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.
31 - 60 of 25203 displayed.
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