| Trajectory clustering within the terminal airspace utilizing a weighted distance function SJ Corrado, TG Puranik, OJ Pinon, DN Mavris Proceedings 59 (1), 7, 2020 | 36 | 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 | 23 | 2021 |
| Classification and analysis of go-arounds in commercial aviation using ADS-B data SG Kumar, SJ Corrado, TG Puranik, DN Mavris Aerospace 8 (10), 291, 2021 | 20 | 2021 |
| Deep autoencoder for anomaly detection in terminal airspace operations SJ Corrado, TG Puranik, OJ Pinon-Fischer, D Mavris, R Rose, J Williams, ... AIAA Aviation 2021 Forum, 2405, 2021 | 8 | 2021 |
| Application of isolation forest for detection of energy anomalies in ADS-B trajectory data SG Kumar, SJ Corrado, TG Puranik, DN Mavris AIAA SCITECH 2022 Forum, 2441, 2022 | 3 | 2022 |
| A Data-Driven Methodology to Analyze Air Traffic Management System Operations within the Terminal Airspace SJ Corrado Georgia Institute of Technology: Atlanta, GA, USA, 2021 | 2 | 2021 |
| A unified, clustering-based framework for detection of spatial and energy anomalies in trajectories utilizing ADS-B data S Corrado, T Puranik, OP Fischer, D Mavris Preprints, 2021 | 2 | 2021 |
| Classification and Analysis of Go-Arounds in Commercial Aviation Using ADS-B Data. Aerospace 2021, 8, 291 SG Kumar, SJ Corrado, TG Puranik, DN Mavris s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 1 | 2021 |
| Characterizing Terminal Airspace Operational States and Detecting Airspace-Level Anomalies SJ Corrado, TG Puranik, DN Mavris Engineering Proceedings 13 (1), 9, 2021 | | 2021 |
Tejas G. PuranikBoeingVerified email at gatech.edu
Tejas G. PuranikBoeingVerified email at gatech.edu