1–6 von 6 Ergebnissen
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    Application of Isolation Forest for Detection of Energy Anomalies in ADS-B Trajectory Data

    Kumar, Satvik G. / Corrado, Samantha J. / Puranik, Tejas G. et al. | AIAA | 2022

    Comparative Assessment of AEDT Noise Modeling Assumptions Using Real-World Data

    Bendarkar, Mayank V. / Bhanpato, Jirat / Puranik, Tejas G. et al. | AIAA | 2022

    Data-driven Approach to Environmental Impact Assessment of Real-World Operations

    Behere, Ameya / Bhanpato, Jirat / Puranik, Tejas G. et al. | AIAA | 2021

    Non-Intrusive Parametric Reduced Order Modeling using Randomized Algorithms

    Rajaram, Dushhyanth / Puranik, Tejas G. / Perron, Christian et al. | AIAA | 2020

    Prediction and Analysis of Ground Stops with Machine Learning

    Mangortey, Eugene / Puranik, Tejas G. / Pinon-Fischer, Olivia J. et al. | AIAA | 2020

    Application of Machine Learning to the Analysis and Prediction of the Coincidence of Ground Delay Programs and Ground Stops

    Mangortey, Eugene / Bleu-Laine, Marc-Henri / Puranik, Tejas G. et al. | AIAA | 2020