1–20 of 51 hits
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    Predicting Air Traffic Management Initiatives using Machine Learning

    Agrawal, Manoj / Puranik, Tejas G. / Kalyanam, Krishnamoorthy et al. | AIAA | 2024

    Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning

    Puranik, Tejas G. / Memarzadeh, Milad / Kalyanam, Krishna M. | IEEE | 2023

    Airport Runway Configuration Management with Offline Model-Free Reinforcement Learning

    Memarzadeh, Milad / Puranik, Tejas G. / Kalyanam, Krishna M. et al. | AIAA | 2023

    Prediction of Critical Aircraft Performance Model Parameters from Historical Flight Data

    Fernandes, Alicia / Wesely, Dan / Puranik, Tejas G. et al. | AIAA | 2023

      Prediction of Critical Aircraft Performance Model Parameters from Historical Flight Data

      Fernandes, Alicia / Wesely, Dan / Puranik, Tejas G. et al. | TIBKAT | 2023

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

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

    An ODE-fitting approach to estimate critical aircraft performance parameters for trajectory prediction

    Puranik, Tejas G. / Sharif Rohani, Aida / Kalyanam, Krishna M. | IEEE | 2022

    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

      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. | TIBKAT | 2022

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

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

    Multi-level aircraft feature representation and selection for aviation environmental impact analysis

    Gao, Zhenyu / Kampezidou, Styliani I. / Behere, Ameya et al. | Elsevier | 2022

    Aircraft Braking Performance Classification Through Braking Rollout Clustering

    Lee, HyunKi / Payan, Alexia P. / Anvid, David et al. | IEEE | 2022

    Application of Trajectory Clustering for Aircraft Conflict Detection

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

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

    Gao, Zhenyu / Li, Yongchang / 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. | AIAA | 2021

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

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

    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 Adverse Events and their Precursors in Aviation Using Multi-Class Multiple-Instance Learning

    Bleu-Laine, Marc-Henri / Puranik, Tejas G. / Mavris, Dimitri N. et al. | AIAA | 2021

      PREDICTING ADVERSE EVENTS AND THEIR PRECURSORS IN AVIATION USING MULTI-CLASS MULTIPLE-INSTANCE LEARNING

      Bleu-Laine, Marc-Henri / Puranik, Tejas G. / Mavris, Dimitri N. et al. | TIBKAT | 2021

    Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events

    Bleu Laine, Marc-Henri / Puranik, Tejas G. / Mavris, Dimitri N. et al. | AIAA | 2021

    Noise Model Validation using Real World Operations Data

    Gabrielian, Ana B. / Puranik, Tejas G. / Bendarkar, Mayank V. et al. | AIAA | 2021