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302.
Structure Prediction and Variant Interpretation of Membrane Proteins Aided by Machine Learning Algorithms
by Li, Bian, Ph.D.  Vanderbilt University. 2018: 192 pages; 13917125.
303.
304.
Decision Making Protocol in Autonomous Vehicles for Optimal Routing and Safe Control
by Kamireddy, Lakhan Shiva, M.S.  University of Colorado at Boulder. 2019: 62 pages; 13862790.
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306.
Computational modeling and utilization of attention, surprise and attention gating
by Mundhenk, Terrell Nathan, Ph.D.  University of Southern California. 2009: 312 pages; 3368710.
307.
Neural regulation of inflammation and bleeding
by Czura, Christopher Jordan, Ph.D.  State University of New York at Stony Brook. 2009: 141 pages; 3401699.
308.
Implementing Machine Learning Algorithms for Identifying Microstructure of Materials
by Shah, Niyati S., M.S.  California State University, Long Beach. 2018: 41 pages; 10837912.
309.
Fusion for Object Detection
by Wei, Pan, Ph.D.  Mississippi State University. 2018: 169 pages; 10826517.
310.
Deep Learning Robust Perception Paradigm for Autonomous Vehicles
by Ali, Alaa Mohamed Leithy, Ph.D.  University of Louisiana at Lafayette. 2017: 134 pages; 10681320.
311.
Early Prediction of Epilepsy Seizure via VLSI BCI Based System
by ElSayed, Zaghloul, Ph.D.  University of Louisiana at Lafayette. 2016: 174 pages; 10163299.
312.
Insights into cone function from the “all-cone” neural retina leucine zipper null mouse
by Daniele, Lauren L., Ph.D.  University of Pennsylvania. 2007: 176 pages; 3261022.
313.
Vagal neural crest cell patterning and migratory behavior
by Kuo, Bryan R., Ph.D.  University of California, Davis. 2010: 137 pages; 3404960.
314.
Information theoretic approaches towards regulatory network inference
by Chaitankar, VIjender, Ph.D.  Virginia Commonwealth University. 2012: 125 pages; 3550865.
316.
Synergistic network operations
by Raza, Saqib, Ph.D.  University of California, Davis. 2010: 173 pages; 3427427.
317.
Feature Learning as a Tool to Identify Existence of Multiple Biological Patterns
by Patsekin, Aleksandr, M.S.  Purdue University. 2018: 69 pages; 10807747.
318.
Statistical Learning of Transition Patterns between Variable Stimuli
by Dong, Mingwen, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 99 pages; 13810427.
319.
Simulation ranking and selection procedures and applications in network reliability design
by Kiekhaefer, Andrew Paul, Ph.D.  The University of Iowa. 2011: 131 pages; 3461170.
320.
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322.
The neural basis of human reinforcement learning
by Rutledge, Robb B., Ph.D.  New York University. 2010: 259 pages; 3428046.
323.
Dynamics and Information Processing in Recurrent Networks
by Kuczala, Alexander, Ph.D.  University of California, San Diego. 2019: 112 pages; 27541198.
324.
326.
Probabilistic Clustering Ensemble Evaluation for Intrusion Detection
by McElwee, Steven M., Ph.D.  Nova Southeastern University. 2018: 166 pages; 10844875.
327.
Metric Semantic Inspection and Mapping for Concrete Infrastructure
by Yang, Liang, Ph.D.  The City College of New York. 2019: 166 pages; 27672401.
328.
The neural correlates of categorical and individuated impressions
by Kubota, Jennifer Takara, Ph.D.  University of Colorado at Boulder. 2010: 198 pages; 3433360.
329.
Feature Extraction from Network Data
by Oles, Vladyslav, Ph.D.  Washington State University. 2019: 92 pages; 27547130.
330.
Optimizing router nodes placement for designing distributed sensor network
by Ganesan, Arun, M.S.  California State University, Long Beach. 2014: 86 pages; 1527703.
301 - 330 of 28118 displayed.
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