1–20 of 39 hits
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    Identifying Instantaneous Anomalies in General Aviation Operations

    Puranik, Tejas G. / Mavris, Dimitri N. | AIAA | 2017

    Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning

    Puranik, Tejas G. / Rodriguez, Nicolas / Mavris, Dimitri N. | Elsevier | 2020

    Identifying Instantaneous Anomalies in General Aviation Operations (AIAA 2017-3779)

    Puranik, Tejas G. / Mavris, Dimitri N. | British Library Conference Proceedings | 2017

    Utilizing Energy Metrics and Clustering Techniques to Identify Anomalous General Aviation Operations

    Puranik, Tejas G. / Jimenez, Hernando / Mavris, Dimitri N. | AIAA | 2017

    Probabilistic REpresentatives Mining (PREM): A Clustering Method for Distributional Data Reduction

    Gao, Zhenyu / Puranik, Tejas G. / Mavris, Dimitri N. | AIAA | 2022

    Application of Trajectory Clustering for Aircraft Conflict Detection

    Madar, Sasha / Puranik, Tejas G. / Mavris, Dimitri N. | IEEE | 2021

    Non-Intrusive Parametric Reduced Order Modeling using Randomized Algorithms

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

    Utilizing Energy Metrics and Clustering Techniques to Identify Anomalous General Aviation Operations (AIAA 2017-0789)

    Puranik, Tejas G. / Jimenez, Hernando / Mavris, Dimitri N. | British Library Conference Proceedings | 2017

    Randomized Algorithms for Non-Intrusive Parametric Reduced Order Modeling

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

    Minimax and Multi-Criteria Selection of Representative Model Portfolios for Complex Systems Analysis

    Gao, Zhenyu / Li, Yongchang / Puranik, Tejas G. et al. | AIAA | 2021

    Classification, Analysis, and Prediction of the Daily Operations of Airports Using Machine Learning

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

      CLASSIFICATION, ANALYSIS, AND PREDICTION OF THE DAILY OPERATIONS OF AIRPORTS USING MACHINE LEARNING

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

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

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

      DATA-DRIVEN APPROACH TO ENVIRONMENTAL IMPACT ASSESSMENT OF REAL-WORLD OPERATIONS

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

    Prediction and Analysis of Ground Stops with Machine Learning

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

      PREDICTION AND ANALYSIS OF GROUND STOPS WITH MACHINE LEARNING

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

    General Aviation Approach and Landing Analysis using Flight Data Records

    Puranik, Tejas G. / Harrison, Evan / Min, Sanggyu et al. | AIAA | 2016

    Flight Data Driven System Identification Using Neural Networks for Landing Safety Assessment

    Lee, HyunKi / Puranik, Tejas G. / Fischer, Olivia Pinon et al. | IEEE | 2021

    Predicting The Occurrence of Weather And Volume Related Ground Delay Programs

    Mangortey, Eugene / Pinon-Fischer, Olivia J. / Puranik, Tejas G. et al. | AIAA | 2019