Graph-based evolutionary algorithms KM Bryden, DA Ashlock, S Corns, SJ Willson IEEE Transactions on Evolutionary Computation 10 (5), 550-567, 2006 | 109 | 2006 |
Enhancing engineering education using project-based learning for Lean and Six Sigma D Kanigolla, EA Cudney, SM Corns, VA Samaranayake International Journal of Lean Six Sigma, 2014 | 63 | 2014 |
Model development of a virtual learning environment to enhance lean education A Gadre, E Cudney, S Corns Procedia Computer Science 6, 100-105, 2011 | 40 | 2011 |
Risk‐Based Analysis of the Danish Pork Salmonella Program: Past and Future HS Hurd, C Enøe, L Sørensen, H Wachman, SM Corns, KM Bryden, ... Risk Analysis: An International Journal 28 (2), 341-351, 2008 | 40 | 2008 |
An updated taxonomy of evolutionary computation problems using graph-based evolutionary algorithms DA Ashlock, KM Bryden, S Corns, J Schonfeld 2006 IEEE International Conference on Evolutionary Computation, 96-103, 2006 | 30 | 2006 |
Framework for modeling urban restoration resilience time in the aftermath of an extreme event V Ramachandran, SK Long, T Shoberg, S Corns, HJ Carlo Natural Hazards Review 16 (4), 04015005, 2015 | 25 | 2015 |
Enhancing undergraduate engineering education of lean methods using simulation learning modules within a virtual environment EA Cudney, S Corns, JA Farris, S Gent, SE Grasman, IG Guardiola American Society for Engineering Education (ASEE), 2011 | 23 | 2011 |
An evolutionary algorithm for the selection of geographically informative species D Ashlock, K Cottenie, L Carson, KM Bryden, S Corns 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and …, 2006 | 21 | 2006 |
Project based learning for quality and six sigma education D Kanigolla, EA Cudney, SM Corns, VA Samaranayake International Journal of Six Sigma and Competitive Advantage 8 (1), 51-68, 2013 | 17 | 2013 |
Employing project-based learning in Six Sigma education D Kanigolla, EA Cudney, SM Corns The Journal for Quality and Participation 36 (1), 34, 2013 | 15 | 2013 |
Using university-funded research projects to teach system design processes and tools IG Guardiola, C Dagli, S Corns IEEE Transactions on Education 56 (4), 377-384, 2013 | 14 | 2013 |
Application of an artificial neural network to predict graduation success at the United States Military Academy G Lesinski, S Corns, C Dagli Procedia Computer Science 95, 375-382, 2016 | 13 | 2016 |
Improving knowledge sharing in healthcare through social network analysis EA Cudney, SM Corns, SK Long International Journal of Collaborative Enterprise 4 (1-2), 17-33, 2014 | 13 | 2014 |
Hybrid power plant R Ferguson, K Bryden, S Corns US Patent 8,839,621, 2014 | 11 | 2014 |
Small population effects and hybridization DA Ashlock, KM Bryden, S Corns 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 10 | 2008 |
A comparison of evolved finite state classifiers and interpolated markov models for improving pcr primer design DA Ashlock, SJ Emrich, KM Bryden, SM Corns, TJ Wen, PS Schnable 2004 Symposium on Computational Intelligence in Bioinformatics and …, 2004 | 10 | 2004 |
An exponential moving average algorithm D Haynes, S Corns, GK Venayagamoorthy 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 9 | 2012 |
Improved PCR design for mouse DNA by training finite state machines SR Yadav, SM Corns 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2010 | 8 | 2010 |
Improving design diversity using graph based evolutionary algorithms SM Corns, DA Ashlock, DS McCorkle, KM Bryden 2006 IEEE International Conference on Evolutionary Computation, 333-339, 2006 | 8 | 2006 |
Flood Prediction and Uncertainty Estimation Using Deep Learning V Gude, S Corns, S Long Water 12 (3), 884, 2020 | 7 | 2020 |