1–50 of 51 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

    Retrospective Analysis of Approach Stability in General Aviation Operations (AIAA 2018-3049)

    Rao, Arjun H. / Puranik, Tejas G. | British Library Conference Proceedings | 2018

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

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

    A Supervised Learning Approach for Safety Event Precursor Identification in Commercial Aviation

    Ackley, Jamey L. / Puranik, Tejas G. / Mavris, Dimitri | AIAA | 2020

      A SUPERVISED LEARNING APPROACH FOR SAFETY EVENT PRECURSOR IDENTIFICATION IN COMMERCIAL AVIATION

      Ackley, Jamey L. / Puranik, Tejas G. / Mavris, Dimitri | TIBKAT | 2020

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

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

    Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning

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

    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

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

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

    Airport Runway Configuration Management with Offline Model-Free Reinforcement Learning

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

    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

    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

    Predicting Air Traffic Management Initiatives using Machine Learning

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

    Energy-Based Metrics for General Aviation Flight Data Record Analysis

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

    Aircraft Landing and Takeoff Operations Clustering for Efficient Environmental Impact Assessment

    Behere, Ameya / Isakson, Loren / Puranik, Tejas G. et al. | AIAA | 2020

      AIRCRAFT LANDING AND TAKEOFF OPERATIONS CLUSTERING FOR EFFICIENT ENVIRONMENTAL IMPACT ASSESSMENT

      Behere, Ameya / Isakson, Loren / Puranik, Tejas G. et al. | TIBKAT | 2020

    A Framework for General Aviation Aircraft Performance Model Calibration and Validation

    Puranik, Tejas G. / Harrison, Evan / Min, Sanggyu et al. | AIAA | 2018

    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

    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

    An Application of DBSCAN Clustering for Flight Anomaly Detection During the Approach Phase

    Sheridan, Kevin / Puranik, Tejas G. / Mangortey, Eugene et al. | AIAA | 2020

      AN APPLICATION OF DBSCAN CLUSTERING FOR FLIGHT ANOMALY DETECTION DURING THE APPROACH PHASE

      Sheridan, Kevin / Puranik, Tejas G. / Mangortey, Eugene et al. | TIBKAT | 2020

    AIAA-2019-3188: Predicting The Occurrence of Weather And Volume Related Ground Delay Programs

    Mangortey, Eugene / Pinon-Fischer, Olivia J. / Puranik, Tejas G. et al. | British Library Conference Proceedings | 2019

    A Framework for General Aviation Aircraft Performance Model Calibration and Validation (AIAA 2018-3191)

    Puranik, Tejas G. / Harrison, Evan / Min, Sanggyu et al. | British Library Conference Proceedings | 2018

    Integrated Sizing and Multi-objective Optimization of Aircraft and Subsystem Architectures in Early Design (AIAA 2017-3067)

    Rajaram, Dushhyanth / Cai, Yu / Puranik, Tejas G. et al. | British Library Conference Proceedings | 2017

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

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

    General Aviation Approach and Landing Analysis using Flight Data Records (AIAA 2016-3913)

    Puranik, Tejas G. / Harrison, Evan / Min, Sanggyu et al. | British Library Conference Proceedings | 2016

    Energy-Based Metrics for General Aviation Flight Data Record Analysis (AIAA 2016-3915)

    Puranik, Tejas G. / Harrison, Evan / Min, Sanggyu et al. | British Library Conference Proceedings | 2016

    Noise Model Validation using Real World Operations Data

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

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

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

    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

    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

      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. | TIBKAT | 2020

    Aircraft Braking Performance Classification Through Braking Rollout Clustering

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

    Deep Gaussian Process Enabled Surrogate Models for Aerodynamic Flows

    Rajaram, Dushhyanth / Puranik, Tejas G. / Renganathan, Ashwin et al. | AIAA | 2020

    Application of Machine Learning Techniques to Parameter Selection for Flight Risk Identification

    Mangortey, Eugene / Monteiro, Dylan / Ackley, Jamey et al. | AIAA | 2020

      APPLICATION OF MACHINE LEARNING TECHNIQUES TO PARAMETER SELECTION FOR FLIGHT RISK IDENTIFICATION

      Mangortey, Eugene / Monteiro, Dylan / Ackley, Jamey et al. | TIBKAT | 2020

    Deep Autoencoder for Anomaly Detection in Terminal Airspace Operations

    Corrado, Samantha J. / Puranik, Tejas G. / Pinon-Fischer, Olivia J. et al. | AIAA | 2021

      DEEP AUTOENCODER FOR ANOMALY DETECTION IN TERMINAL AIRSPACE OPERATIONS

      Corrado, Samantha J. / Puranik, Tejas G. / Pinon-Fischer, Olivia J. et al. | TIBKAT | 2021