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1.
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.
2.
BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting
by Brantley, Kiante, M.S.  University of Maryland, Baltimore County. 2016: 71 pages; 10140605.
3.
Drilling Hydraulics Optimization Using Neural Networks
by Wang, Yanfang, M.S.  University of Louisiana at Lafayette. 2014: 73 pages; 1592757.
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.
A study of cell-based genetic algorithms with applications to neural networks
by Dinh, Hoa, M.S.  California State University, Long Beach. 2013: 62 pages; 1527480.
6.
New neural network for real-time human dynamic motion prediction
by Bataineh, Mohammad Hindi, Ph.D.  The University of Iowa. 2015: 253 pages; 3711174.
7.
Automatic Snooker-Playing Robot with Speech Recognition Using Deep Learning
by Bhagat, Kunj H., M.S.  California State University, Long Beach. 2018: 61 pages; 10977867.
8.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
10.
Automated Detection of Semagram-Laden Images
by Cerkez, Paul S., Ph.D.  Nova Southeastern University. 2012: 238 pages; 3505651.
11.
An argument for the use of computer simulated models in philosophy
by Rines, Jason Russell, M.A.  The University of North Carolina at Charlotte. 2015: 62 pages; 1598081.
13.
Creative Learning for Intelligent Robots
by Liao, Xiaoqun, Ph.D.  University of Cincinnati. 2006: 295 pages; 10857161.
14.
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.
15.
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.
16.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
17.
Evaluation and Design of Robust Neural Network Defenses
by Carlini, Nicholas, Ph.D.  University of California, Berkeley. 2018: 138 pages; 10931076.
18.
19.
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.
20.
Neural Network Optimization of Airline Ticket Booking: An Airline Revenue Management System
by Alsharif, Mustafa Adnan, Ph.D.  Florida Institute of Technology. 2012: 239 pages; 3507025.
21.
Integrating Multiple Modalities into Deep Learning Networks
by McNeil, Patrick N., Ph.D.  Nova Southeastern University. 2017: 296 pages; 10283417.
22.
Optimal reservoir operations for riverine water quality improvement: A reinforcement learning strategy
by Rieker, Jeffrey Donald, Ph.D.  Colorado State University. 2011: 251 pages; 3454631.
23.
An evolutionary method for training autoencoders for deep learning networks
by Lander, Sean, M.S.  University of Missouri - Columbia. 2014: 43 pages; 10180878.
25.
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.
26.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
27.
Artificial Neural Network Impact on Cloud Parameterization and Land-Atmosphere Interactions
by Yacalis, Galen, M.S.  University of California, Irvine. 2018: 106 pages; 10933426.
28.
Gray-cast iron classification based on graphite flakes using image morphology and neural networks
by Yeliyur Siddegowda, Darshan, M.S.  California State University, Long Beach. 2016: 55 pages; 10017846.
29.
Predictive modeling of fuel efficiency of trucks
by Bindingnolle Narasimha, Srivatsa, M.S.  State University of New York at Binghamton. 2015: 91 pages; 10092244.
30.
Stochastic Neural Algorithms
by Engler, Gary Ronald, Jr., Ph.D.  Stevens Institute of Technology. 2018: 161 pages; 10979690.
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