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HyunKi Lee
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Critical parameter identification for safety events in commercial aviation using machine learning
HK Lee, S Madar, S Sairam, TG Puranik, AP Payan, M Kirby, OJ Pinon, ...
Aerospace 7 (6), 73, 2020
402020
Deep spatio-temporal neural networks for risk prediction and decision support in aviation operations
HK Lee, TG Puranik, DN Mavris
Journal of Computing and Information Science in Engineering, 1-21, 2021
212021
Dimitri,“Critical Parameter Identification for Safety Events in Commercial Aviation Using Machine Learning,” Aerospace, Vol. 7 (6), 2020
H Lee, S Madar, S Santusht, TG Puranik, AP Payan, M Kirby, OJ Pinon, ...
5
A Method for Simultaneous Optimization of Power Split and Flight Path Trajectories for Hybrid Electric Aircraft
HK Lee, CM Harris, JC Gladin, DN Mavris
AIAA Scitech 2021 Forum, 2021
42021
Risk-Aware Trajectory Planning Using Energy-based Analysis for Aerial Vehicles
HK Lee, CM Harris, AP Payan, DN Mavris
AIAA AVIATION 2021, 2021
32021
Aircraft Braking Performance Classification Through Braking Rollout Clustering
HK Lee, AP Payan, D Anvid, W Zhang, TG Puranik, M Kirby, DN Mavris
2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC), 1-8, 2022
12022
Flight Data Driven System Identification Using Neural Networks for Landing Safety Assessment
HK Lee, TG Puranik, OP Fischer, DN Mavris
2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), 1-9, 2021
12021
Machine Learning Approach for the Evaluation of Degraded Wheel Braking Performance on Contaminated Runways
HK Lee, W Zhang, TG Puranik, D Anvid, AP Payan, M Kirby, D Mavris, ...
United States. Department of Transportation. Federal Aviation Administration …, 2023
2023
Runway safety improvements through a data driven approach for risk flight prediction and simulation
H Lee
Georgia Institute of Technology, 2022
2022
Sensitivity Analysis of Predictive Machine Learning Models to Aircraft Dynamics During Flare Maneuver
HK Lee, TG Puranik, DN Mavris
AIAA AVIATION 2022 Forum, 3612, 2022
2022
Towards an Online Predictive Model of Aircraft Energy State Using Supervised Machine Learning
HK Lee, TG Puranik, OJP Fischer, DN Mavris
32nd Congress of the International Council of the Aeronautical Sciences, 2021
2021
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Articles 1–11