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1.
Spacecraft Formation Control: Adaptive PID-Extended Memory Recurrent Neural Network Controller
by Gonzalez, Juan, M.S.  California State University, Long Beach. 2018: 76 pages; 10978237.
2.
Comparison and Fine-Grained Analysis of Sequence Encoders for Natural Language Processing
by Keller, Thomas Anderson, M.S.  University of California, San Diego. 2017: 87 pages; 10599339.
3.
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.
4.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
5.
Variable Memory Recurrent Neural Networks for Nano Sat Launch Vehicle attitude control
by Sclafani, Rodolfo J., M.S.  California State University, Long Beach. 2014: 79 pages; 1527749.
6.
Machine Learning Methods for 3D Object Classification and Segmentation
by Le, Truc Duc, Ph.D.  University of Missouri - Columbia. 2018: 158 pages; 13877153.
8.
Deep Networks for Forward Prediction and Planning
by Henaff, Mikael, Ph.D.  New York University. 2018: 164 pages; 10928805.
9.
Real-Time Road Traffic Events Detection and Geo-Parsing
by Kumar, Saurabh, M.S.E.C.E.  Purdue University. 2018: 70 pages; 10842958.
10.
An Approach for Designing Secure and High Performance Cloud Systems
by Gai, Keke, Ph.D.  Pace University. 2017: 221 pages; 10635446.
12.
Semantically Enhanced Traceability across Software and System-Related Natural Language Artifacts
by Guo, Jin L. C., Ph.D.  University of Notre Dame. 2017: 181 pages; 13836191.
13.
DiffFrameNet: A Deep Learning Method for Intuitive Robot Navigation
by Cao, Bo, M.S.  University of Colorado at Boulder. 2018: 69 pages; 10809457.
14.
Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
16.
Optimization Methods Combining Variable Splitting with Deep Learning
by Cowen, Benjamin, Ph.D.  New York University Tandon School of Engineering. 2019: 136 pages; 13882605.
17.
Intelligent spot welding quality monitoring using advanced signal processing techniques
by Xingjue, Wang, M.S.  National University of Singapore (Singapore). 2015: 142 pages; 10006100.
18.
High Frequency GaN Power Converters Digital Twin
by Biglarbegian, Mehrdad, Ph.D.  The University of North Carolina at Charlotte. 2018: 153 pages; 10979304.
19.
Learning from Temporally-Structured Human Activities Data
by Lipton, Zachary C., Ph.D.  University of California, San Diego. 2017: 274 pages; 10683703.
20.
Supervised and Unsupervised Learning for Semantics Distillation in Multimedia Processing
by Liu, Yu, Ph.D.  State University of New York at Buffalo. 2018: 150 pages; 10932367.
21.
Medial Prefrontal Cortex Mediates the Creation of the Learning Set
by Martin Garcia-Yevenes, Pablo, Ph.D.  Icahn School of Medicine at Mount Sinai. 2019: 141 pages; 13885001.
22.
Human Activity Analysis using Multi-modalities and Deep Learning
by Zhang, Chenyang, Ph.D.  The City College of New York. 2016: 115 pages; 10159927.
23.
Learning in chaotic recurrent neural networks
by Sussillo, David C., Ph.D.  Columbia University. 2009: 134 pages; 3346497.
24.
Exact Primitives for Time Series Data Mining
by Mueen, Abdullah Al, Ph.D.  University of California, Riverside. 2012: 184 pages; 3503286.
26.
Towards Temporal Semantic Scene Understanding
by Ghafarianzadeh, Mahsa, Ph.D.  University of Colorado at Boulder. 2017: 152 pages; 10271366.
27.
Electroencephalogram classification by forecasting with recurrent neural networks
by Forney, Elliott M., M.S.  Colorado State University. 2011: 79 pages; 1503664.
28.
30.
Memory, Arousal, and Perception of Sleep
by Dawson, Spencer Charles, Ph.D.  The University of Arizona. 2017: 74 pages; 10640182.
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