Scott Nykl - Concepedia

Author

Scott Nykl

U.S. Air Force Institute of Technology ORCID

Also Known As

Scott L Nykl, Scott L. Nykl, Scott Nykl

Publications

305

Citations

H-Index

Concepts

All Affiliations

U.S. Air Force Institute of Technology Wright-Patterson Air Force Base United States Air Force Wright State University Ohio University

About

Scott Nykl is an author at U.S. Air Force Institute of Technology specializing in engineering, computer science, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	139
2	Computer Science	4	4	135
3	Arts	2	2	50
4	Education	1	1	30
5	Communication	1	1	20

Scott Nykl

Publications

198

Citations

H-Index

Page 1

	Year	Citations
Improving optimization of convolutional neural networks through parameter fine-tuning Nicholas Becherer, John Pecarina, Scott Nykl, Neural Computing and Applications Few-shot LearningConvolutional Neural NetworkEngineeringMachine LearningRandom Initialization	2017	64
An overview of the STEAMiE Educational game Engine Scott Nykl, Chad Mourning, Mitchell R. Leitch, Artificial IntelligenceEducationSimulation Video GameInteractive LearningVirtual Reality	2008	30
Using Voronoi diagrams to improve classification performances when modeling imbalanced datasets William A. Young, Scott Nykl, Gary R. Weckman, Neural Computing and Applications Data ClassificationClassification MethodEngineeringMachine LearningData Science	2014	21
Combining Stereo Vision and Inertial Navigation for Automated Aerial Refueling D. T. Johnson, Scott Nykl, John Raquet Journal of Guidance Control and Dynamics Automatic NavigationInertial Navigation SystemMachine VisionInertial NavigationEngineering	2017	21
Cyberspace Odyssey: A Competitive Team-Oriented Serious Game in Computer Networking Kendra Graham, James D. Anderson, Conrad Rife, IEEE Transactions on Learning Technologies Video Game DevelopmentEngineeringOnline GamingGame TheoryCommunication	2020	20
Analysis of Simulated Imagery for Real-Time Vision-Based Automated Aerial Refueling Christopher Parsons, Zachary Paulson, Scott Nykl, Journal of Aerospace Information Systems	2019	15
Delaunay walk for fast nearest neighbor: accelerating correspondence matching for ICP James D. Anderson, Ryan Raettig, Josh Larson, Machine Vision and Applications	2022	14
Long-Range Pose Estimation for Aerial Refueling Approaches Using Deep Neural Networks Andrew Lee, Will Dallmann, Scott Nykl, Journal of Aerospace Information Systems Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningPoint Cloud Processing	2020	13

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