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151.
Intelligent spot welding quality monitoring using advanced signal processing techniques
by Xingjue, Wang, M.S.  National University of Singapore (Singapore). 2015: 142 pages; 10006100.
152.
Unsupervised Learning under Uncertainty
by Mathieu, MichaĆ«l, Ph.D.  New York University. 2017: 159 pages; 10261120.
153.
Learning and Acting with Predictive Cognitive Maps
by Juliani, Arthur William, Ph.D.  University of Oregon. 2020: 201 pages; 28258863.
154.
Reduced HyperBF networks: Practical optimization, regularization, and applications in bioinformatics
by Mahdi, Rami Nezar, Ph.D.  University of Louisville. 2010: 119 pages; 3415069.
155.
Inferring Mechanisms of Toxicity from Differential Genomics and Semantic Knowledge Representations
by Tripodi, I. J., Ph.D.  University of Colorado at Boulder. 2020: 149 pages; 27996986.
157.
Programming Agent-Based Models by Demonstration
by Budhraja, Karan K., Ph.D.  University of Maryland, Baltimore County. 2019: 258 pages; 13428284.
158.
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.
159.
Modelling and monitoring ad hoc networks
by McClary, Daniel W., Ph.D.  Arizona State University. 2008: 143 pages; 3295147.
160.
Improving Knowledge Graph Quality with Network Representation Learning
by Shi, Baoxu, Ph.D.  University of Notre Dame. 2018: 108 pages; 13836462.
161.
162.
Dynamic Travel Time Prediction Using GPS Based Probe Vehicles
by Sharma, Durvijay, M.S.  California State University, Long Beach. 2017: 62 pages; 10602985.
163.
Development of an Artificial Neural Network to Predict In-Use Engine Emissions
by Morris, Melissa L., Ph.D.  West Virginia University. 2011: 190 pages; 3486738.
164.
Neuroevolution Based Inverse Reinforcement Learning
by Budhraja, Karan Kumar, M.S.  University of Maryland, Baltimore County. 2016: 85 pages; 10140581.
165.
Modeling Individual Differences in the Neural Encoding of Working Memory through Network-based Functional Neuroimaging and Clinical Neuropsychology
by Kearney-Ramos, Tonisha Evette, Ph.D.  University of Arkansas for Medical Sciences. 2015: 194 pages; 10103554.
166.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
167.
Neither recurrent hypoglycemia nor chronic aerobic training alter the content of MCTs in the ventromedial hypothalamus
by Oberlin, Douglas J., Ph.D.  The University of North Carolina at Greensboro. 2016: 158 pages; 10154649.
168.
Utilizing Various Neural Network Architectures to Play a Game Developed for Human Players
by Arender, Blake, M.S.  The University of Mississippi. 2018: 51 pages; 10752390.
169.
170.
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.
171.
Evolving Convolutional Neural Network Topologies for Image Recognition
by Strauch, Yaron Leander, M.S.  University of Southampton (United Kingdom). 2019: 92 pages; 28150656.
172.
173.
Deep Learning Applications for Medical Imaging and Time-Series Data
by Martinez, Anthony, M.S.  California State University, Long Beach. 2019: 60 pages; 27545665.
174.
175.
Non-parameterized Sentence Embeddings
by Almarwani, Nada, Ph.D.  The George Washington University. 2020: 118 pages; 28087930.
176.
Electric field effects on single and small networks of neurons
by Reznik, Robert I., Ph.D.  George Mason University. 2016: 138 pages; 10032412.
177.
179.
Insights from Reconstructing Cellular Networks in Transcription, Stress, and Cancer
by Ke, Eugene Yunghung, Ph.D.  University of California, San Diego. 2012: 186 pages; 3517046.
180.
Cyber Incident Anomaly Detection Using Multivariate Analysis and Machine Learning
by Campbell, Ronald K., D.Engr.  The George Washington University. 2018: 121 pages; 10784357.
151 - 180 of 25625 displayed.
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