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1.
BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting
by Brantley, Kiante, M.S.  University of Maryland, Baltimore County. 2016: 71 pages; 10140605.
2.
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.
3.
Artificial Neural Network Impact on Cloud Parameterization and Land-Atmosphere Interactions
by Yacalis, Galen, M.S.  University of California, Irvine. 2018: 106 pages; 10933426.
4.
Development of an Artificial Neural Network to Predict In-Use Engine Emissions
by Morris, Melissa L., Ph.D.  West Virginia University. 2011: 190 pages; 3486738.
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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.
10.
Evaluation and Design of Robust Neural Network Defenses
by Carlini, Nicholas, Ph.D.  University of California, Berkeley. 2018: 138 pages; 10931076.
11.
Lithium-Ion Battery SOC Estimation Using Deep Learning Neural Networks
by Wang, Rui, M.S.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 55 pages; 22624788.
12.
New neural network for real-time human dynamic motion prediction
by Bataineh, Mohammad Hindi, Ph.D.  The University of Iowa. 2015: 253 pages; 3711174.
13.
Neural Correlates of Adaptive Behavior: Structure, Dynamics, and Information Processing
by Williams, Steven C., Ph.D.  Indiana University. 2019: 152 pages; 27543239.
15.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
16.
Stochastic Neural Algorithms
by Engler, Gary Ronald, Jr., Ph.D.  Stevens Institute of Technology. 2018: 161 pages; 10979690.
18.
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.
19.
Combinatorial Neural Network Training Algorithm for Neuromorphic Computing
by Date, Prasanna, Ph.D.  Rensselaer Polytechnic Institute. 2019: 133 pages; 22583141.
20.
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.
21.
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.
22.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
23.
Fractional snow cover estimation in complex alpineforested environments using remotely sensed data and artificial neural networks
by Czyzowska-Wisniewski, Elzbieta Halina Magdalena, Ph.D.  The University of Arizona. 2013: 258 pages; 3609512.
25.
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.
26.
Detection of Canine Bone Cancer Using Artificial Neural Networks
by Gorre, Naveena, M.S.  Southern Illinois University at Edwardsville. 2020: 70 pages; 27957796.
27.
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.
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Artificial Neural Networks in Public Policy: Towards an Analytical Framework
by Lee, Joshua A., Ph.D.  George Mason University. 2020: 353 pages; 27956419.
30.
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.
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