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214.
Large-scale Network Representations during Episodic Mnemonic Processing in Humans
by Schedlbauer, Amber, Ph.D.  University of California, Davis. 2017: 166 pages; 10682669.
215.
Date-Driven Topology Identification in Power Distribution Systems with Machine Learning
by Li, Yifu, M.S.  The George Washington University. 2020: 129 pages; 28087793.
216.
Quadcopter Trajectory Prediction and Wind Estimation Using Machine Learning
by Allison, Sam, M.S.  Oklahoma State University. 2019: 81 pages; 22588182.
217.
Acoustic and Image Vehicle Classification System
by Hoang, Trong Tuyen, M.S.  California State University, Long Beach. 2017: 56 pages; 10604463.
218.
220.
The Role of the Pulvinar in Selective Visual Attention
by Ly, Ryan, Ph.D.  Princeton University. 2019: 107 pages; 13811626.
221.
223.
Neural circuit for locomotor control, brain state modulation, and decision-making
by Lee, Andrew Moses, Ph.D.  University of California, San Francisco. 2013: 195 pages; 3599392.
224.
Neural basis of the neurological diagnostic power of vibrotactile sensory testing
by Forshey, Theresa Marie, Ph.D.  The University of North Carolina at Chapel Hill. 2013: 128 pages; 3562895.
225.
Deep Learning for Puzzles and Circadian Rhythms
by Agostinelli, Forest, Ph.D.  University of California, Irvine. 2019: 99 pages; 27663716.
226.
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.
227.
Computational inference of genetic regulatory networks in human cancer cells
by Margolin, Adam Arne, Ph.D.  Columbia University. 2008: 282 pages; 3299359.
230.
Learning to Predict Human Behavior from Video
by Felsen, Panna, Ph.D.  University of California, Berkeley. 2019: 70 pages; 13886183.
231.
A graphene oxide nanocomposite for neural interfacing applications
by Weaver, Cassandra Lynn, Ph.D.  University of Pittsburgh. 2014: 198 pages; 10075905.
232.
Flexible management of transportation networks under uncertainty
by Chow, Joseph Ying Jun, Ph.D.  University of California, Irvine. 2010: 256 pages; 3397133.
233.
Representing Linguistic Knowledge with Probabilistic Models
by Meylan, Stephan Charles, Ph.D.  University of California, Berkeley. 2018: 206 pages; 10931065.
234.
Neural integration of multimodal events
by Vettel, Jean M., Ph.D.  Brown University. 2009: 141 pages; 3430220.
235.
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.
236.
Real-Time Stability Surveillance in Power Systems: A Deep Learning Approach
by Shinde, Bhavesh Tukaram, M.S.  The George Washington University. 2020: 96 pages; 27669739.
237.
Acute neural adaptations to resistance training performed with low and high rates of muscle activation
by Peterson, Clayton Robert, Ph.D.  The University of Iowa. 2009: 153 pages; 3356271.
238.
On the Usability of Continuous Time Bayesian Networks: Improving Scalability and Expressiveness
by Perreault, Logan Jared, Ph.D.  Montana State University. 2017: 250 pages; 10258540.
239.
Machine Vision System for the Automated Green Shoot Thinning in Vineyards
by Majeed, Yaqoob, Ph.D.  Washington State University. 2020: 196 pages; 27830466.
240.
Neural bases of emotional language processing in individuals with and without autism
by Sand, Lesley Ann, Ph.D.  University of Maryland, College Park. 2015: 242 pages; 10011510.
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