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31.
An exploration of varying conditions in a Hopfield Neural Network and applications to a DNA implementation
by Hughes, Bradley Steven, Ph.D.  University of California, Riverside. 2010: 233 pages; 3426183.
34.
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.
35.
Blood Glucose Management Streptozotocin-Induced Diabetic Rats by Artificial Neural Network Based Model Predictive Control
by Bahremand, Saeid, M.S.  Southern Illinois University at Edwardsville. 2016: 92 pages; 10249804.
37.
Modeling Individual Differences in the Neural Encoding of Working Memory through Network-based Functional Neuroimaging and Clinical Neuropsychology
by Kearney-Ramos, Tonisha Evette, Ph.D.  University of Arkansas for Medical Sciences. 2015: 194 pages; 10103554.
38.
Blood Glucose Regulation System for Type 1 Diabetic Rats by using Time Series Neural Network Based Model Predictive Control
by Kirilmaz, Omer Batuhan, M.S.  Southern Illinois University at Edwardsville. 2020: 55 pages; 28030990.
40.
Social network analysis: Determining betweenness centrality of a network using Ant Colony Optimization
by Rubano, Vincent, M.S.  Southern Connecticut State University. 2016: 117 pages; 10108549.
42.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
43.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
45.
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.
46.
Novel patterns of activity in the hippocampus
by Kay, Kenneth, Ph.D.  University of California, San Francisco. 2016: 130 pages; 10133436.
47.
The human neuroscience of the risk for and expression of drug addiction
by Elton, Amanda Lea, Ph.D.  University of Arkansas for Medical Sciences. 2012: 127 pages; 3551921.
48.
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.
49.
Learning in chaotic recurrent neural networks
by Sussillo, David C., Ph.D.  Columbia University. 2009: 134 pages; 3346497.
50.
51.
Early Mammalian Neural Crest Development
by Betters, Erin Ann, Ph.D.  Yale University. 2012: 168 pages; 3535405.
52.
Computational modeling of biological neural networks on GPUS: Strategies and performance
by Galbraith, Byron V., M.S.  Marquette University. 2010: 130 pages; 1479117.
55.
Development and Testing of a Combined Neural-Genetic Algorithm to Identify CO2 Sequestration Candidacy Wells
by Zhang, Xiaohui, M.S.  University of Louisiana at Lafayette. 2015: 140 pages; 1594272.
56.
Date-Driven Topology Identification in Power Distribution Systems with Machine Learning
by Li, Yifu, M.S.  The George Washington University. 2020: 129 pages; 28087793.
57.
Transcriptional Regulation of the Developing Neural Crest in Xenopus
by Medina Ruiz, Sofia, Ph.D.  University of California, Berkeley. 2015: 135 pages; 10186646.
58.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
59.
60.
Design of a Multi-objective Landing Trajectory Using Artificial Neural Networks
by Dedman, Phoebe Elizabeth, M.S.  California State University, Long Beach. 2018: 118 pages; 10837984.
31 - 60 of 29929 displayed.
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