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181.
Predictive Theoretical and Computational Approaches for Characterizing Engineered Bioswale Systems Performance
by Irvine, Joshua Lelemia, Ph.D.  University of Hawai'i at Manoa. 2019: 115 pages; 13426346.
182.
Using Computational Approaches to Investigate Streptococcal Species from the Food Industry
by Sun, Yukun, Ph.D.  Illinois Institute of Technology. 2020: 172 pages; 28027206.
184.
185.
Computational fluid dynamics validation of buoyant turbulent flow heat transfer
by Iverson, Jared M., M.S.  Utah State University. 2013: 172 pages; 1550153.
186.
Hackathons for Kids: Looking Closer at Computational Thinking. A Qualitative Case Study
by Ranft, Debra, EDD/ET  University of Phoenix. 2020: 183 pages; 28259674.
187.
Computational methods for support vector machine classification and large-scale Kalman filtering
by Howard, Marylesa Marie, Ph.D.  University of Montana. 2013: 124 pages; 3568109.
188.
Computational fluid dynamics simulations of a diffusing S-duct using overset grids
by Nguyen, Steve, M.S.  California State University, Long Beach. 2013: 92 pages; 1523070.
189.
Hybrid Aesthetics: Bridging Material Practices and Digital Fabrication through Computational Crafting Proxies
by Torres, Cesar Armando, Ph.D.  University of California, Berkeley. 2019: 231 pages; 22587459.
190.
Electric field effects on single and small networks of neurons
by Reznik, Robert I., Ph.D.  George Mason University. 2016: 138 pages; 10032412.
191.
Computational investigation of micro-scale coaxial rotor aerodynamics in hover
by Lakshminarayan, Vinod K., Ph.D.  University of Maryland, College Park. 2009: 291 pages; 3359395.
192.
193.
Modeling gas flows in longwall coal mines using computational fluid dynamics
by Worrall, Dan M., Jr., Ph.D.  Colorado School of Mines. 2012: 322 pages; 3546041.
194.
Structant: A Context-Aware Task Management Framework for Heterogeneous Computational Environments
by Pachulski, Andrew James, Ph.D.  University of Maryland, College Park. 2019: 247 pages; 22588276.
195.
Structural, functional, and computational insights into the ANL superfamily of enzymes
by Mitchell, Carter Alexander, Ph.D.  State University of New York at Buffalo. 2013: 234 pages; 3598714.
196.
Computational Studies of Proteins: Dynamics and Interactions with Small Molecules
by Park, Min Sun, Ph.D.  University of Rochester. 2011: 109 pages; 3458547.
197.
Computational Bayesian Methods Applied to Complex Problems in Bio and Astro Statistics
by Elrod, Chris, Ph.D.  Baylor University. 2019: 103 pages; 27540692.
198.
Computational Analysis of Deformable Manifolds: From Geometric Modeling to Deep Learning
by Schonsheck, Stefan C., Ph.D.  Rensselaer Polytechnic Institute. 2020: 137 pages; 28001226.
199.
A Critical Interrogation of the Mind, Brain, and Education Movement: Toward a Social Justice Paradigm
by Pirayesh, Bibinaz, Ed.D.  Loyola Marymount University. 2018: 252 pages; 10933968.
201.
Interpreting Time-Resolved Spectra and Excited State Reactivity with Computational Methods
by Lamb, Robert, Ph.D.  Mississippi State University. 2020: 281 pages; 27838297.
202.
Development of computational image processing algorithms for detecting morphological features of melanoma
by Chamani, Alireza, M.S.  University of Maryland, Baltimore County. 2014: 93 pages; 1583869.
203.
Aerodynamic Heating Analysis of Re-entry Space Capsule Using Computational Fluid Dynamics
by Chhunchha, Aakash C., M.S.  California State University, Long Beach. 2018: 41 pages; 10752510.
204.
Expanding Coverage of the Chemical Exposome Using Novel Data Acquisition and Computational Tools
by Bloszies, Clayton S., Ph.D.  University of California, Davis. 2020: 117 pages; 28093393.
205.
Computational Analysis of DNA Interactions to Investigate the Spatial Organization of Chromatin
by Meluzzi, Dario, Ph.D.  University of California, San Diego. 2013: 257 pages; 3601276.
206.
207.
Neural Mechanisms for Transforming Visual Experiences into Flexible Long-Term Memories
by Favila, Serra E., Ph.D.  New York University. 2019: 136 pages; 13811247.
209.
Distribution Matching Methods for Parameter Estimation and Model Selection in Computational Biology
by Lillacci, Gabriele, Ph.D.  University of California, Santa Barbara. 2012: 252 pages; 3545071.
210.
Computational Approaches to Big Data and Deep Time in Ecology, Hydrology, and Geomorphology
by Barnes, Richard, Ph.D.  University of California, Berkeley. 2020: 165 pages; 28090506.
181 - 210 of 13335 displayed.
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