Steve Corns

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Suzanna LongUniversity of IdahoVerified email at uidaho.edu
Cihan H. DagliProfessor of Engineering Mangement and Systems EngineeringVerified email at mst.edu
Vinayaka GudeAssistant Professor - Texas A&M CommerceVerified email at tamuc.edu
Dinesh KanigollaMissouri University of Science and TechnologyVerified email at mst.edu
Hector J. CarloProfessor of Industrial Engineering, University of Puerto Rico at MayaguezVerified email at upr.edu
Varun RamachandranMissouri university of science and technologyVerified email at mst.edu
Gene LesinskiAssistant Professor, United States Military AcademyVerified email at westpoint.edu
Scott E GrasmanKettering UniversityVerified email at umich.edu
Lizzette Perez Lespier, PhD, PEUniversity of North CarolinaVerified email at uncw.edu
Stephen P. GentProfessor of Mechanical Engineering, South Dakota State UniversityVerified email at sdstate.edu
Bhanuchander Reddy PoreddyPrincipal Reliability Engineer, MedtronicVerified email at mst.edu
Ruwen QinStony Brook UniversityVerified email at stonybrook.edu

Steve Corns

Associate Professor of Engineering Management and Systems Engineering, Missouri University of

Verified email at mst.edu - Homepage

Artificial Intelligence Computational Intelligence Systems Engineering Complexity Modeling


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Graph-based evolutionary algorithms KM Bryden, DA Ashlock, S Corns, SJ Willson IEEE Transactions on Evolutionary Computation 10 (5), 550-567, 2006	116	2006
Enhancing engineering education using project-based learning for lean and six sigma D Kanigolla, E A. Cudney, S M. Corns, VA Samaranayake International Journal of Lean Six Sigma 5 (1), 45-61, 2014	88	2014
Flood prediction and uncertainty estimation using deep learning V Gude, S Corns, S Long Water 12 (3), 884, 2020	62	2020
Model development of a virtual learning environment to enhance lean education A Gadre, E Cudney, S Corns Procedia Computer Science 6, 100-105, 2011	60	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	45	2008
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	36	2016
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	35	2015
Evaluation of support vector machines and random forest classifiers in a real-time fetal monitoring system based on cardiotocography data V Nagendra, H Gude, D Sampath, S Corns, S Long 2017 IEEE conference on computational intelligence in bioinformatics and …, 2017	32	2017
An exponential moving average algorithm D Haynes, S Corns, GK Venayagamoorthy 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012	32	2012
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
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	29	2011
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	25	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	21	2013
A model for the evaluation of environmental impact indicators for a sustainable maritime transportation systems LP Lespier, S Long, T Shoberg, S Corns Frontiers of Engineering Management 6 (3), 368-383, 2019	18	2019
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	18	2013
Identifying geographical interdependency in critical infrastructure systems using open source geospatial data in order to model restoration strategies in the aftermath of a … V Ramachandran, T Shoberg, S Long, S Corns, H Carlo International Journal of Geospatial and Environmental Research 2 (1), 4, 2015	16	2015
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	15	2014
Multi-objective evolutionary neural network to predict graduation success at the United States military academy G Lesinski, S Corns Procedia Computer Science 140, 196-205, 2018	13	2018
Post-disaster supply chain interdependent critical infrastructure system restoration: A review of data necessary and available for modeling V Ramachandran, S Long, T Shoberg, S Corns, HJ Carlo Committee on Data for Science and Technology 15, 1, 2016	13	2016
Hybrid power plant R Ferguson, K Bryden, S Corns US Patent 8,839,621, 2014	13	2014

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