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61.
Drilling Hydraulics Optimization Using Neural Networks
by Wang, Yanfang, M.S.  University of Louisiana at Lafayette. 2014: 73 pages; 1592757.
62.
Reduced HyperBF networks: Practical optimization, regularization, and applications in bioinformatics
by Mahdi, Rami Nezar, Ph.D.  University of Louisville. 2010: 119 pages; 3415069.
63.
Geometric representations and deep Gaussian conditional random field networks for computer vision
by Vemulapalli, Raviteja, Ph.D.  University of Maryland, College Park. 2016: 185 pages; 10192530.
64.
Scaling and Entropic Approaches to Clusters in Materials Science and in Network
by Roy, Prosun, M.S.  The University of Wisconsin - Milwaukee. 2020: 63 pages; 27960050.
65.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
66.
Using Neural Networks to Predict Vortex-Panel Analyses: A Feasibility Study
by Wright, Brendan, M.S.  Rensselaer Polytechnic Institute. 2018: 103 pages; 10980821.
67.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
68.
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.
69.
Der Einfluss von Erythropoetin auf die neuronale Differenzierung von murinen, induzierten pan neuralen Progenitorzellen
by Flemming, Johannes, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2017: 78 pages; 10664613.
71.
A graphene oxide nanocomposite for neural interfacing applications
by Weaver, Cassandra Lynn, Ph.D.  University of Pittsburgh. 2014: 198 pages; 10075905.
72.
Large-scale Network Representations during Episodic Mnemonic Processing in Humans
by Schedlbauer, Amber, Ph.D.  University of California, Davis. 2017: 166 pages; 10682669.
74.
The neural correlates of skilled reading: An MRI investigation of phonological processing
by Orechwa, Allison Zumberge, Ph.D.  University of Southern California. 2009: 136 pages; 3368714.
75.
Improving Knowledge Graph Quality with Network Representation Learning
by Shi, Baoxu, Ph.D.  University of Notre Dame. 2018: 108 pages; 13836462.
76.
Fractional snow cover estimation in complex alpineforested environments using remotely sensed data and artificial neural networks
by Czyzowska-Wisniewski, Elzbieta Halina Magdalena, Ph.D.  The University of Arizona. 2013: 258 pages; 3609512.
77.
Decoding the rhythms of avian auditory LFP
by Schachter, Mike J., Ph.D.  University of California, Berkeley. 2016: 53 pages; 10192590.
78.
Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
80.
Cyber Incident Anomaly Detection Using Multivariate Analysis and Machine Learning
by Campbell, Ronald K., D.Engr.  The George Washington University. 2018: 121 pages; 10784357.
81.
Neural Networks for Modeling and Control of Particle Accelerators
by Edelen, Auralee Linscott, Ph.D.  Colorado State University. 2020: 269 pages; 28028770.
83.
Analysis of Behavioral and Autonomic States in Unstructured Multiday Human Intracranial Electrophysiology
by Alasfour, Abdulwahab Ahmad, Ph.D.  University of California, San Diego. 2020: 119 pages; 28256343.
84.
Analysis of Keystroke Dynamics Algorithms with Feedforward Neural Networks
by Su, Gordon, M.E.  University of Connecticut. 2020: 49 pages; 28262948.
85.
Noise, Quantization, and Priors in Neural Networks
by Anderson, Alexander G., Ph.D.  University of California, Berkeley. 2018: 87 pages; 10822107.
87.
A study of cell-based genetic algorithms with applications to neural networks
by Dinh, Hoa, M.S.  California State University, Long Beach. 2013: 62 pages; 1527480.
88.
The neural dogma
by Merrill, Bradford Chester, M.A.  University of Nevada, Reno. 2008: 128 pages; 1460809.
89.
A General Purpose Neural Processor
by Mountain, David Jerome, Ph.D.  University of Maryland, Baltimore County. 2017: 171 pages; 10268058.
90.
M-AdaBoost-A Based Ensemble System for Network Intrusion Detection
by Zhou, Ying, Ph.D.  The George Washington University. 2021: 128 pages; 28256014.
61 - 90 of 29916 displayed.
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