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1.
In-Node Machine Learning-based Vehicle Classification
by Bhattarya, Rahul, M.S.  California State University, Long Beach. 2018: 62 pages; 10837826.
3.
Architecting emerging memory technologies for energy-efficient computing in modern processors
by Jianxing, Wang, Ph.D.  National University of Singapore (Singapore). 2015: 161 pages; 10006096.
4.
Detection of malware via side channel information
by Quinn, Rian, Ph.D.  State University of New York at Binghamton. 2012: 169 pages; 3522519.
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Integrating Multiple Modalities into Deep Learning Networks
by McNeil, Patrick N., Ph.D.  Nova Southeastern University. 2017: 296 pages; 10283417.
7.
Advanced neural network clustering techniques for liquid crystal texture classification
by Karaszi, Zoltan, M.C.Sc.  Kent State University. 2013: 71 pages; 1555292.
8.
Accurate prediction of protein function using GOstruct
by Sokolov, Artem, Ph.D.  Colorado State University. 2011: 90 pages; 3489918.
10.
Reconfigurable Antenna and RF Circuits Using Multi-Layer Stretchable Conductors
by Liyakath, Riaz Ahmed, M.S.E.E.  University of South Florida. 2012: 119 pages; 1515400.
11.
Advances in online learning-based spam filtering
by Sculley, D., Ph.D.  Tufts University. 2008: 212 pages; 3320103.
12.
Fusion for Object Detection
by Wei, Pan, Ph.D.  Mississippi State University. 2018: 169 pages; 10826517.
13.
Smoothing class transitions with hard labels
by Malkin, Jonathan, Ph.D.  University of Washington. 2010: 193 pages; 3406833.
14.
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.
15.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
16.
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.
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.
Linguistically Motivated Features for CCG Realization Ranking
by Rajkumar, Rajakrishnan, Ph.D.  The Ohio State University. 2012: 167 pages; 10631306.
19.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
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Artificial Neural Network Impact on Cloud Parameterization and Land-Atmosphere Interactions
by Yacalis, Galen, M.S.  University of California, Irvine. 2018: 106 pages; 10933426.
24.
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.
25.
IEEE 802.11 is good enough to build wireless multi-hop networks
by Jindal, Apoorva, Ph.D.  University of Southern California. 2009: 123 pages; 3355408.
26.
Rapid Learning with Stochastic Focus of Attention
by Pelossof, Raphael A., Ph.D.  Columbia University. 2011: 85 pages; 3451712.
28.
Application of temporal difference learning to the game of Snake
by Lockhart, Christopher, M.Eng.  University of Louisville. 2010: 96 pages; 1485160.
30.
In-Node, Low Power Vehicle Classification and Identification System
by Shuck, Timothy A., M.S.  California State University, Long Beach. 2018: 58 pages; 10978575.
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