| An application of dbscan clustering for flight anomaly detection during the approach phase K Sheridan, TG Puranik, E Mangortey, OJ Pinon-Fischer, M Kirby, ... AIAA Scitech 2020 Forum, 1851, 2020 | 108 | 2020 |
| Development of a conditional generative adversarial network for airfoil shape optimization G Achour, WJ Sung, OJ Pinon-Fischer, DN Mavris AIAA Scitech 2020 Forum, 2261, 2020 | 83 | 2020 |
| Critical Parameter Identification for Safety Events in Commercial Aviation Using Machine Learning H Lee, S Madar, S Santusht, TG Puranik, AP Payan, M Kirby, OJ Pinon, ... Aerospace 7 (6), 73, 2020 | 50 | 2020 |
| A digital thread approach to support manufacturing-influenced conceptual aircraft design DJL Siedlak, OJ Pinon, PR Schlais, TM Schmidt, DN Mavris Research in Engineering Design 29, 285-308, 2018 | 41 | 2018 |
| 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 | 39 | 2020 |
| Trajectory Clustering within the Terminal Airspace Utilizing a Weighted Distance Function S Corrado, T Puranik, O Pinon, D Mavris 8th OpenSky Symposium 59 (7), 2020 | 38 | 2020 |
| Optimizing pushback decisions to valuate airport surface surveillance information P Burgain, OJ Pinon, E Feron, JP Clarke, DN Mavris IEEE Transactions on Intelligent Transportation Systems 13 (1), 180-192, 2011 | 34 | 2011 |
| Systems design and modeling: A visual analytics approach DN Mavris, OJ Pinon, D Fullmer Jr 27th Congress of International Council of the Aeronautical Sciences ICAS, 2010 | 31 | 2010 |
| Empirical Assessment of Deep Gaussian Process Surrogate Models for Engineering Problems D Rajaram, P Tejas G., SA Renganathan, WJ Sung, O Pinon Fischer, ... Journal of Aircraft 58 (1), 182-196, 2020 | 27 | 2020 |
| Deep Gaussian process enabled surrogate models for aerodynamic flows D Rajaram, TG Puranik, A Renganathan, WJ Sung, OJ Pinon-Fischer, ... AIAA scitech 2020 forum, 1640, 2020 | 27 | 2020 |
| A clustering-based quantitative analysis of the interdependent relationship between spatial and energy anomalies in ADS-B trajectory data SJ Corrado, TG Puranik, OP Fischer, DN Mavris Transportation Research Part C: Emerging Technologies 131, 103331, 2021 | 26 | 2021 |
| An overview of design challenges and methods in aerospace engineering DN Mavris, OJ Pinon Complex Systems Design & Management: Proceedings of the Second International …, 2012 | 26 | 2012 |
| aeroBERT-Classifier: Classification of Aerospace Requirements using BERT A Tikayat Ray, BF Cole, OJ Pinon Fischer, RT White, DN Mavris Aerospace 10 (3), 279, 2023 | 22 | 2023 |
| aeroBERT-NER: Named-entity recognition for aerospace requirements engineering using BERT A Tikayat Ray, OJ Pinon-Fischer, DN Mavris, RT White, BF Cole AIAA SCITECH 2023 Forum, 2583, 2023 | 21 | 2023 |
| Non-intrusive parametric reduced order models with high-dimensional inputs via gradient-free active subspace D Rajaram, RH Gautier, C Perron, OJ Pinon-Fischer, D Mavris AIAA Aviation 2020 Forum, 3184, 2020 | 21 | 2020 |
| Classification, analysis, and prediction of the daily operations of airports using machine learning E Mangortey, TG Puranik, OJ Pinon-Fischer, DN Mavris AIAA Scitech 2020 Forum, 1196, 2020 | 19 | 2020 |
| Agile methodology for the standardization of engineering requirements using large language models A Tikayat Ray, BF Cole, OJ Pinon Fischer, AP Bhat, RT White, DN Mavris Systems 11 (7), 352, 2023 | 18 | 2023 |
| Development of a data fusion framework to support the analysis of aviation big data E Mangortey, J Gilleron, G Dard, OJ Pinon-Fischer, DN Mavris AIAA Scitech 2019 Forum, 1538, 2019 | 17 | 2019 |
| An evolutionary multi-architecture multi-objective optimization algorithm for design space exploration C Frank, R Marlier, OJ Pinon-Fischer, DN Mavris 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2016 | 17 | 2016 |
| Evolutionary multi-objective multi-architecture design space exploration methodology CP Frank, RA Marlier, OJ Pinon-Fischer, DN Mavris Optimization and Engineering 19, 359-381, 2018 | 16 | 2018 |
Dimitri N. MavrisGeorgia Institute of Technology在 aerospace.gatech.edu 的电子邮件经过验证
