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1.
A Novel Intrusion Detection Model for Detecting Known and Innovative Cyberattacks Using Convolutional Neural Network
by Ho, Samson, M.S.  California State University, Long Beach. 2020: 65 pages; 28152930.
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Smart Real-time Image Processing for Ultrasounds Using Cellular Neural Network
by Ayoubi, Randa, Ph.D.  University of Louisiana at Lafayette. 2014: 123 pages; 3711169.
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Emotion Recognition Using Deep Learning
by Bishnoi, Amit, M.S.  California State University, Long Beach. 2019: 58 pages; 13862789.
6.
Intrusion Detection in Controller Area Network Bus Using Deep Neural Network
by Sami, Muhammad, M.S.E.E.  California State University, Long Beach. 2020: 62 pages; 27833202.
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Evaluation and Design of Robust Neural Network Defenses
by Carlini, Nicholas, Ph.D.  University of California, Berkeley. 2018: 138 pages; 10931076.
10.
Computational modeling of biological neural networks on GPUS: Strategies and performance
by Galbraith, Byron V., M.S.  Marquette University. 2010: 130 pages; 1479117.
11.
Improving Motor Skills of a Smart Prosthetic Hand by Deep Learning
by Christian, Matthew, M.S.  Tennessee State University. 2018: 56 pages; 10979821.
12.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
13.
Combinatorial Neural Network Training Algorithm for Neuromorphic Computing
by Date, Prasanna, Ph.D.  Rensselaer Polytechnic Institute. 2019: 133 pages; 22583141.
14.
Date-Driven Topology Identification in Power Distribution Systems with Machine Learning
by Li, Yifu, M.S.  The George Washington University. 2020: 129 pages; 28087793.
16.
Convolutional Neural Networks for EEG Signal Classification in Asynchronous Brain-Computer Interfaces
by Forney, Elliott M., Ph.D.  Colorado State University. 2019: 239 pages; 27544218.
18.
The Versatility and Performance of Neural Networks for Digital Signal Data
by Gadbois, Joseph Isamu, M.S.  California State University, Long Beach. 2021: 145 pages; 28256752.
19.
Computational Analysis of Deformable Manifolds: From Geometric Modeling to Deep Learning
by Schonsheck, Stefan C., Ph.D.  Rensselaer Polytechnic Institute. 2020: 137 pages; 28001226.
20.
Evolving Convolutional Neural Network Topologies for Image Recognition
by Strauch, Yaron Leander, M.S.  University of Southampton (United Kingdom). 2019: 92 pages; 28150656.
21.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
22.
Wavelet transform and neural network
by Ghafoori, Elyar, M.S.  California State University, Long Beach. 2014: 60 pages; 1527935.
23.
Detecting Phone-Related Pedestrian Behavior Using a Two-Branch Convolutional Neural Network
by Saenz, Humberto, M.S.  The University of Texas Rio Grande Valley. 2019: 65 pages; 27544252.
24.
Deep Learning for Segmented Medical Image Analysis
by Cheong, Vincent K., M.S.  California State University, Long Beach. 2019: 53 pages; 13858079.
25.
An Application of Deep Learning Models to Automate Food Waste Classification
by Espinoza, Alejandro Zachary, M.S.  Portland State University. 2019: 136 pages; 27662936.
26.
Deep Learning Applications for Medical Imaging and Time-Series Data
by Martinez, Anthony, M.S.  California State University, Long Beach. 2019: 60 pages; 27545665.
28.
From Distribution Shift to Kernel Methods: A Study of Empirical Phenomena in Machine Learning
by Shankar, Vaishaal, Ph.D.  University of California, Berkeley. 2020: 203 pages; 28086200.
30.
BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting
by Brantley, Kiante, M.S.  University of Maryland, Baltimore County. 2016: 71 pages; 10140605.
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