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3.
In-Node Machine Learning-based Vehicle Classification
by Bhattarya, Rahul, M.S.  California State University, Long Beach. 2018: 62 pages; 10837826.
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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.
6.
Solutions to constrained path computation in multi-layer networks
by Gong, Shujia, Ph.D.  George Mason University. 2008: 128 pages; 3289663.
8.
Dynamic routing with cross-layer adaptations for multi-hop wireless networks
by Pal, Amitangshu, Ph.D.  The University of North Carolina at Charlotte. 2013: 221 pages; 3608393.
9.
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.
10.
Integrated Si3N4 Waveguide Circuits for Single- and Multi-Layer Applications
by Huffman, Taran Arthur, Ph.D.  University of California, Santa Barbara. 2018: 129 pages; 10979233.
12.
A Deep Learning Predictive Model for Source Code Analysis of a Dynamically Typed Language
by Tiwang, Raymond F., D.Sc.  Bowie State University. 2020: 125 pages; 28000426.
13.
Permian Basin Reservoir Quantitative Interpretation Applying the Multi-Scale Boxcar Transform Spectral Decomposition
by Locci-Lopez, Daniel Eduardo, M.S.  University of Louisiana at Lafayette. 2018: 74 pages; 10816133.
14.
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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Multi-view, broadband, acoustic classification of marine animals
by Roberts, Paul L. D., Ph.D.  University of California, San Diego. 2009: 184 pages; 3354867.
16.
Advanced techniques for semantic concept detection in general videos
by Jiang, Wei, Ph.D.  Columbia University. 2010: 179 pages; 3420869.
17.
Interference and outage optimization in multi-user multi-carrier communication systems
by Jagannathan, Sumanth, Ph.D.  Stanford University. 2008: 193 pages; 3313819.
20.
Advanced neural network clustering techniques for liquid crystal texture classification
by Karaszi, Zoltan, M.C.Sc.  Kent State University. 2013: 71 pages; 1555292.
21.
Human Activity Analysis using Multi-modalities and Deep Learning
by Zhang, Chenyang, Ph.D.  The City College of New York. 2016: 115 pages; 10159927.
22.
Agricultural Land Use Mapping in West Africa Using Multi-Sensor Satellite Imagery
by Forkuor, Gerald, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2015: 192 pages; 10720875.
23.
Fusion for Object Detection
by Wei, Pan, Ph.D.  Mississippi State University. 2018: 169 pages; 10826517.
24.
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.
25.
Cross-layer optimization and cooperative communications in wireless networks
by Gao, Qinghai, Ph.D.  Arizona State University. 2008: 125 pages; 3341342.
26.
Integrating Multiple Modalities into Deep Learning Networks
by McNeil, Patrick N., Ph.D.  Nova Southeastern University. 2017: 296 pages; 10283417.
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Smoothing class transitions with hard labels
by Malkin, Jonathan, Ph.D.  University of Washington. 2010: 193 pages; 3406833.
28.
Hypervelocity Impact of Spherical Aluminum 2017-T4 Projectiles on Aluminum 6061-T6 Multi-Layered Sheets
by Marroquin Salvador, Michael Deivi, M.S.  Mississippi State University. 2017: 62 pages; 10642662.
29.
Transceiver Beamforming Design and Power Optimization for Cooperative Multi-Source Multi-Destination Networks
by Chen, Fuyu, Ph.D.  State University of New York at Buffalo. 2012: 135 pages; 3516521.
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