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1.
Stochastic Neural Algorithms
by Engler, Gary Ronald, Jr., Ph.D.  Stevens Institute of Technology. 2018: 161 pages; 10979690.
2.
Computation and Communication Optimization in Many-Core Heterogeneous Server-on-Chip
by Reza, Md Farhadur, Ph.D.  University of Louisiana at Lafayette. 2017: 154 pages; 10687409.
3.
The neural dogma
by Merrill, Bradford Chester, M.A.  University of Nevada, Reno. 2008: 128 pages; 1460809.
5.
Dynamic Gaussian Process Models for Model Predictive Control of Vehicle Roll
by Broderick, David J., Ph.D.  Auburn University. 2012: 121 pages; 3520452.
6.
Towards Fast and Efficient Representation Learning
by Li, Hao, Ph.D.  University of Maryland, College Park. 2018: 147 pages; 10845690.
7.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
8.
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.
9.
Linking neural activity with perceptual decision making via sparse decoding
by Shi, Jianing, Ph.D.  Columbia University. 2010: 211 pages; 3428702.
10.
Computation and coding in the retina
by Schwartz, Gregory William, Ph.D.  Princeton University. 2008: 184 pages; 3305749.
11.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
12.
Decoding the Computations of Sensory Neurons
by Kaardal, Joel Thomas, Ph.D.  University of California, San Diego. 2017: 143 pages; 10633582.
13.
Invariant Recognition of Vocal Features
by Moore, Richard Channing, III, Ph.D.  University of California, Berkeley. 2011: 70 pages; 3616333.
14.
Probabilistic models of phase variables for visual representation and neural dynamics
by Cadieu, Charles, Ph.D.  University of California, Berkeley. 2009: 120 pages; 3402686.
15.
16.
On information representation in the brain
by Tee, James Seng Khien, Ph.D.  New York University. 2017: 126 pages; 10188255.
17.
Neuroevolution Based Inverse Reinforcement Learning
by Budhraja, Karan Kumar, M.S.  University of Maryland, Baltimore County. 2016: 85 pages; 10140581.
18.
Deep Learning Robust Perception Paradigm for Autonomous Vehicles
by Ali, Alaa Mohamed Leithy, Ph.D.  University of Louisiana at Lafayette. 2017: 134 pages; 10681320.
19.
Neural computation of visual motion in macaque area MT
by Zaharia, Andrew D., Ph.D.  New York University. 2016: 162 pages; 10192285.
20.
Computational modeling and utilization of attention, surprise and attention gating
by Mundhenk, Terrell Nathan, Ph.D.  University of Southern California. 2009: 312 pages; 3368710.
21.
In-Node Vehicle Classification and Identification
by Bavkar, Indraneel N., M.S.  California State University, Long Beach. 2017: 50 pages; 10639676.
22.
BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting
by Brantley, Kiante, M.S.  University of Maryland, Baltimore County. 2016: 71 pages; 10140605.
23.
Modification of an asynchronous dexterous hand movement decoder for hardware implementation
by Bosen, Adam Kevin, M.S.  Rochester Institute of Technology. 2010: 72 pages; 1480273.
24.
Real-Time Adaptive Data-Driven Perception for Anomaly Priority Scoring at Scale
by Miraftabzadeh, Seyed Ali, Ph.D.  The University of Texas at San Antonio. 2017: 142 pages; 10686275.
25.
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.
26.
Wavelet transform and neural network
by Ghafoori, Elyar, M.S.  California State University, Long Beach. 2014: 60 pages; 1527935.
27.
Using Neural Networks to Predict Vortex-Panel Analyses: A Feasibility Study
by Wright, Brendan, M.S.  Rensselaer Polytechnic Institute. 2018: 103 pages; 10980821.
28.
Learning from Temporally-Structured Human Activities Data
by Lipton, Zachary C., Ph.D.  University of California, San Diego. 2017: 274 pages; 10683703.
29.
Towards Temporal Semantic Scene Understanding
by Ghafarianzadeh, Mahsa, Ph.D.  University of Colorado at Boulder. 2017: 152 pages; 10271366.
30.
Early Prediction of Epilepsy Seizure via VLSI BCI Based System
by ElSayed, Zaghloul, Ph.D.  University of Louisiana at Lafayette. 2016: 174 pages; 10163299.
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