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91.
M-AdaBoost-A Based Ensemble System for Network Intrusion Detection
by Zhou, Ying, Ph.D.  The George Washington University. 2021: 128 pages; 28256014.
92.
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.
93.
Predicting Tropical Cyclone Intensity from Geosynchronous Satellite Images Using Deep Neural Networks
by Udumulla, Niranga Mahesh, M.S.  Florida Atlantic University. 2020: 112 pages; 28262639.
94.
Detection of Canine Bone Cancer Using Artificial Neural Networks
by Gorre, Naveena, M.S.  Southern Illinois University at Edwardsville. 2020: 70 pages; 27957796.
95.
Nonlinear discriminant analysis based feature dimensionality reduction for automatic speech recognition
by Hu, Hongbing, Ph.D.  State University of New York at Binghamton. 2010: 145 pages; 3423029.
96.
Leveraging Deep Neural Networks to Study Human Cognition
by Peterson, Joshua C., Ph.D.  University of California, Berkeley. 2018: 129 pages; 10930700.
97.
Optimization and inductive models for continuous estimation of hydrologic variables
by Brown, Ricardo Eric, M.S.  Florida Atlantic University. 2012: 149 pages; 1517812.
98.
Network science and the effects of music on the human brain
by Wilkins, Robin W., Ph.D.  The University of North Carolina at Greensboro. 2015: 152 pages; 3708255.
99.
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.
100.
Automatic Age Estimation from Real-World and Wild Face Images by Using Deep Neural Networks
by Qawaqneh, Zakariya, Ph.D.  University of Bridgeport. 2017: 99 pages; 10689195.
101.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
102.
Neural mechanisms of selective attention to visual features
by Fannon, Sean Patrick, Ph.D.  Duke University. 2006: 181 pages; 3284832.
103.
Neural integration of multimodal events
by Vettel, Jean M., Ph.D.  Brown University. 2009: 141 pages; 3430220.
104.
Classification of Faults in Microgrids Using Deep Learning
by Karan, Sainesh, M.S.  California State University, Long Beach. 2020: 74 pages; 27834650.
105.
Linking neural activity with perceptual decision making via sparse decoding
by Shi, Jianing, Ph.D.  Columbia University. 2010: 211 pages; 3428702.
106.
Building High Performance Wireless Rechargeable Sensor Networks and Vehicular Networks by Algorithm Designs
by Zhou, Pengzhan, Ph.D.  State University of New York at Stony Brook. 2020: 165 pages; 28091090.
107.
Neuroimaging biomarkers for the prediction of treatment response in schizophrenia
by Hutcheson, Nathan L., Ph.D.  The University of Alabama at Birmingham. 2014: 174 pages; 3618463.
108.
Data-Driven Filtration and Segmentation of Mesoscale Neural Dynamics
by Weiser, Sydney C., Ph.D.  University of California, Santa Cruz. 2020: 94 pages; 28093646.
109.
Abstraction, Sense Distinctions and Syntax in Neural Semantic Role Labeling
by Gung, James, Ph.D.  University of Colorado at Boulder. 2020: 181 pages; 27838256.
111.
Cloud-Edge Hybrid Robotic Systems for Physical Human Robot Interactions
by Tian, Nan, D.Eng.  University of California, Berkeley. 2020: 97 pages; 28087227.
112.
Neural Stages of Word Encoding Across Languages, Proficiency Levels, and Modalities
by Leonard, Matthew Kanter, Ph.D.  University of California, San Diego. 2011: 147 pages; 3458484.
114.
Artificial Neural Networks in Public Policy: Towards an Analytical Framework
by Lee, Joshua A., Ph.D.  George Mason University. 2020: 353 pages; 27956419.
116.
Modeling travel demand and crashes at macroscopic and microscopic levels
by Duddu, Venkata Ramana, Ph.D.  The University of North Carolina at Charlotte. 2012: 96 pages; 3551920.
117.
The neurogenetic basis on behavioral inhibition
by Congdon, Eliza Johanna, Ph.D.  State University of New York at Stony Brook. 2008: 127 pages; 3338156.
118.
Learning temporal representations in cortical networks through reward dependent expression of synaptic plasticity
by Gavornik, Jeffrey Peter, Ph.D.  The University of Texas at Austin. 2009: 121 pages; 3360319.
119.
Towards Effective and Controllable Neural Text Generation
by Fang, Le, Ph.D.  State University of New York at Buffalo. 2020: 88 pages; 27994869.
120.
91 - 120 of 29929 displayed.
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