Application of machine learning techniques to parameter selection for flight risk identification E Mangortey, D Monteiro, J Ackley, Z Gao, TG Puranik, M Kirby, ... AIAA scitech 2020 forum, 1850, 2020 | 35 | 2020 |
Improved noise abatement departure procedure modeling for aviation environmental impact assessment D Lim, A Behere, YCD Jin, Y Li, M Kirby, Z Gao, DN Mavris AIAA Scitech 2020 Forum, 1730, 2020 | 28 | 2020 |
Sensitivity Analysis of Airport level Environmental Impacts to Aircraft thrust, weight, and departure procedures A Behere, D Lim, Y Li, YCD Jin, Z Gao, M Kirby, DN Mavris AIAA Scitech 2020 Forum, 1731, 2020 | 27 | 2020 |
Statistics and machine learning in aviation environmental impact analysis: A survey of recent progress Z Gao, DN Mavris Aerospace 9 (12), 750, 2022 | 17 | 2022 |
Multi-level aircraft feature representation and selection for aviation environmental impact analysis Z Gao, SI Kampezidou, A Behere, TG Puranik, D Rajaram, DN Mavris Transportation Research Part C: Emerging Technologies 143, 103824, 2022 | 13 | 2022 |
Development and analysis of improved departure modeling for aviation environmental impact assessment Z Gao, A Behere, Y Li, D Lim, M Kirby, DN Mavris Journal of Aircraft 58 (4), 847-857, 2021 | 13 | 2021 |
Probabilistic representatives mining (prem): A clustering method for distributional data reduction Z Gao, TG Puranik, DN Mavris AIAA Journal 60 (4), 2580-2596, 2022 | 8 | 2022 |
A nonparametric-based approach for the characterization and propagation of epistemic uncertainty due to small datasets Z Gao, D Lim, KG Schwartz, DN Mavris AIAA Scitech 2019 forum, 1490, 2019 | 7 | 2019 |
Restoring the real world records in Men’s swimming without high-tech swimsuits Z Gao, Y Li, Z Wang Journal of Quantitative Analysis in Sports 16 (4), 291-300, 2020 | 6 | 2020 |
System-level assessment of active flow control for commercial aircraft high-lift devices Y Cai, Z Gao, I Chakraborty, S Briceno, DN Mavris Journal of Aircraft 55 (3), 1200-1216, 2018 | 6 | 2018 |
Developing virtual acoustic terrain for Urban Air Mobility trajectory planning Z Gao, A Porcayo, JP Clarke Transportation Research Part D: Transport and Environment 120, 103794, 2023 | 4 | 2023 |
Minimax and multi-criteria selection of representative model portfolios for complex systems analysis Z Gao, Y Li, TG Puranik, DN Mavris AIAA Journal 60 (3), 1505-1521, 2022 | 4 | 2022 |
Representative Data and Models for Complex Aerospace Systems Analysis. Z Gao Georgia Institute of Technology, Atlanta, GA, USA, 2022 | 4 | 2022 |
Risk-aware urban air mobility network design with overflow redundancy Q Wei, Z Gao, JP Clarke, U Topcu Transportation Research Part B: Methodological 185, 102967, 2024 | 3 | 2024 |
A nonparametric-based approach on the propagation of imprecise probabilities due to small datasets Z Gao Georgia Institute of Technology, 2018 | 3 | 2018 |
Challenges and Opportunities: A Strategic General Aviation Exploratory Analysis for 2030 Z Gao, PN Lin, A Chakraborty, BE Sells, SI Briceno, WA Crossley, ... 2018 AIAA Aerospace Sciences Meeting, 2009, 2018 | 2 | 2018 |
Alpha-Fair Routing in Urban Air Mobility with Risk-Aware Constraints Y Yu, Z Gao, SHQ Li, Q Wei, JP Clarke, U Topcu arXiv preprint arXiv:2310.00135, 2023 | 1 | 2023 |
Sensitivity Analysis of Aviation Environmental Impacts for the Base of Aircraft Data (BADA) Family 4 Z Gao, Y Li, M Kirby, DN Mavris AIAA Scitech 2021 Forum, 0457, 2021 | 1 | 2021 |
Parametric Approach to Assessing Performance of High-Lift Device Active Flow Control Architectures Y Cai, Z Gao, I Chakraborty, S Briceno, D Mavris Aerospace 4 (1), 6, 2017 | 1 | 2017 |
Noise-Aware and Equitable Urban Air Traffic Management: An Optimization Approach Z Gao, Y Yu, Q Wei, U Topcu, JP Clarke arXiv preprint arXiv:2401.00806, 2024 | | 2024 |