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211.
Integrative neural behavior in a mammalian nervous system revealed using calcium imaging
by Bayguinov, Peter Orlinov, Ph.D.  University of Nevada, Reno. 2010: 291 pages; 3434068.
214.
Non-invasive Hyperglycemia Detection Using ECG and Deep Learning
by Silveira Cordeiro, Renato, M.S.  San Jose State University. 2019: 55 pages; 27736399.
215.
Deep Learning for Sentiment and Emotion Detection in Multilingual Contexts
by Abdullah, Malak Abdel-Ghani, Ph.D.  The University of North Carolina at Charlotte. 2018: 103 pages; 10846641.
216.
Deep Learning for Segmented Medical Image Analysis
by Cheong, Vincent K., M.S.  California State University, Long Beach. 2019: 53 pages; 13858079.
217.
Exploring scaling limits and computational paradigms for next generation embedded systems
by Zykov, Andrey V., Ph.D.  The University of Texas at Austin. 2009: 90 pages; 3390230.
218.
Analysis of Behavioral and Autonomic States in Unstructured Multiday Human Intracranial Electrophysiology
by Alasfour, Abdulwahab Ahmad, Ph.D.  University of California, San Diego. 2020: 119 pages; 28256343.
219.
Wavelet transform and neural network
by Ghafoori, Elyar, M.S.  California State University, Long Beach. 2014: 60 pages; 1527935.
220.
Early Mammalian Neural Crest Development
by Betters, Erin Ann, Ph.D.  Yale University. 2012: 168 pages; 3535405.
221.
The Role of Attention in Binocular Rivalry and Saccade Preparation
by Li, Hsin-Hung, Ph.D.  New York University. 2019: 239 pages; 10928906.
225.
Towards Fast and Efficient Representation Learning
by Li, Hao, Ph.D.  University of Maryland, College Park. 2018: 147 pages; 10845690.
226.
Advanced neural network clustering techniques for liquid crystal texture classification
by Karaszi, Zoltan, M.C.Sc.  Kent State University. 2013: 71 pages; 1555292.
227.
(Food) Banking on Networks: Social Network Analysis of Maryland Food Networks
by Greene, Jasmine Brittany, D.P.A.  University of Baltimore. 2020: 211 pages; 28091537.
230.
Predicting Risk Of Recurrent Stroke Based On Changes In Risk Factors: The VISP Study
by Campbell, Stephen Michael, Ph.D.  The University of North Carolina at Chapel Hill. 2011: 280 pages; 3509245.
231.
Principles of Dynamics and Inference, with Applications to the Brain
by Weistuch, Corey, Ph.D.  State University of New York at Stony Brook. 2020: 89 pages; 28090345.
232.
Date-Driven Topology Identification in Power Distribution Systems with Machine Learning
by Li, Yifu, M.S.  The George Washington University. 2020: 129 pages; 28087793.
233.
234.
236.
The Role of the Pulvinar in Selective Visual Attention
by Ly, Ryan, Ph.D.  Princeton University. 2019: 107 pages; 13811626.
238.
Quadcopter Trajectory Prediction and Wind Estimation Using Machine Learning
by Allison, Sam, M.S.  Oklahoma State University. 2019: 81 pages; 22588182.
239.
Representing Linguistic Knowledge with Probabilistic Models
by Meylan, Stephan Charles, Ph.D.  University of California, Berkeley. 2018: 206 pages; 10931065.
240.
Large-scale Network Representations during Episodic Mnemonic Processing in Humans
by Schedlbauer, Amber, Ph.D.  University of California, Davis. 2017: 166 pages; 10682669.
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